# Awesome GitHub Copilot

> A community-driven collection of custom agents, instructions, and skills to enhance GitHub Copilot experiences across various domains, languages, and use cases.

## Overview

This repository provides resources to customize and enhance GitHub Copilot:

- **Agents**: Specialized GitHub Copilot agents that integrate with MCP servers
- **Instructions**: Coding standards and best practices applied to specific file patterns
- **Skills**: Self-contained folders with instructions and bundled resources for specialized tasks
- **Learning Hub**: Curated guides, tutorials, and reference material published on the website

## Learning Hub

- [Agentic Workflows](https://awesome-copilot.github.com/learning-hub/agentic-workflows/): Learn what GitHub Agentic Workflows are, how to use community workflows from Awesome Copilot, and how to contribute your own.
- [Agents and Subagents](https://awesome-copilot.github.com/learning-hub/agents-and-subagents/): Learn how delegated subagents differ from primary agents, when to use them, and how to launch them in VS Code and Copilot CLI.
- [Automating with Hooks](https://awesome-copilot.github.com/learning-hub/automating-with-hooks/): Learn how to use hooks to automate lifecycle events like formatting, linting, and governance checks during Copilot agent sessions.
- [Before/After Customization Examples](https://awesome-copilot.github.com/learning-hub/before-after-customization-examples/): See real-world transformations showing how custom agents, skills, and instructions dramatically improve GitHub Copilot effectiveness.
- [Building Custom Agents](https://awesome-copilot.github.com/learning-hub/building-custom-agents/): Learn how to create specialized GitHub Copilot agents with custom personas, tool integrations, and domain expertise.
- [GitHub Copilot CLI for Beginners](https://awesome-copilot.github.com/learning-hub/cli-for-beginners/): A source-faithful mirror of the companion GitHub Copilot CLI for Beginners course.
- [00 · Quick Start](https://awesome-copilot.github.com/learning-hub/cli-for-beginners/00-quick-start/): Install GitHub Copilot CLI, authenticate, and verify your environment with the same flow as the source course.
- [01 · First Steps](https://awesome-copilot.github.com/learning-hub/cli-for-beginners/01-setup-and-first-steps/): Experience your first GitHub Copilot CLI demos and learn the three main interaction modes.
- [02 · Context and Conversations](https://awesome-copilot.github.com/learning-hub/cli-for-beginners/02-context-and-conversations/): Learn how to give Copilot CLI richer context and build stronger multi-turn conversations.
- [03 · Development Workflows](https://awesome-copilot.github.com/learning-hub/cli-for-beginners/03-development-workflows/): Mirror the source development workflow chapter covering review, debugging, testing, and git support.
- [04 · Create Specialized AI Assistants](https://awesome-copilot.github.com/learning-hub/cli-for-beginners/04-agents-and-custom-instructions/): Mirror the source chapter on custom agents and custom instructions for GitHub Copilot CLI.
- [05 · Automate Repetitive Tasks](https://awesome-copilot.github.com/learning-hub/cli-for-beginners/05-skills/): Mirror the source chapter on skills that load automatically for repeated GitHub Copilot CLI workflows.
- [06 · Connect to GitHub, Databases & APIs](https://awesome-copilot.github.com/learning-hub/cli-for-beginners/06-mcp-servers/): Mirror the source chapter on MCP servers and external integrations for GitHub Copilot CLI.
- [07 · Putting It All Together](https://awesome-copilot.github.com/learning-hub/cli-for-beginners/07-putting-it-all-together/): Mirror the source capstone chapter that combines the GitHub Copilot CLI workflow end to end.
- [Copilot Configuration Basics](https://awesome-copilot.github.com/learning-hub/copilot-configuration-basics/): Learn how to configure GitHub Copilot at user, workspace, and repository levels to optimize your AI-assisted development experience.
- [Creating Effective Skills](https://awesome-copilot.github.com/learning-hub/creating-effective-skills/): Master the art of writing reusable, shareable skill folders that deliver consistent results across your team.
- [Defining Custom Instructions](https://awesome-copilot.github.com/learning-hub/defining-custom-instructions/): Learn how to create persistent, context-aware instructions that guide GitHub Copilot automatically across your codebase.
- [Getting Started with the GitHub Copilot app](https://awesome-copilot.github.com/learning-hub/github-copilot-app/): Learn about the GitHub Copilot app, a desktop experience built for agent-native development. Understand its key features and who it's for.
- [GitHub Copilot Terminology Glossary](https://awesome-copilot.github.com/learning-hub/github-copilot-terminology-glossary/): A quick reference guide defining common GitHub Copilot and platform-specific terms.
- [Installing and Using Plugins](https://awesome-copilot.github.com/learning-hub/installing-and-using-plugins/): Learn how to find, install, and manage plugins that extend GitHub Copilot CLI with reusable agents, skills, hooks, and integrations.
- [Understanding Copilot Context](https://awesome-copilot.github.com/learning-hub/understanding-copilot-context/): Learn how GitHub Copilot uses context from your code, workspace, and conversation to generate relevant suggestions.
- [Understanding MCP Servers](https://awesome-copilot.github.com/learning-hub/understanding-mcp-servers/): Learn how Model Context Protocol servers extend GitHub Copilot with access to external tools, databases, and APIs.
- [Using the Copilot Coding Agent](https://awesome-copilot.github.com/learning-hub/using-copilot-coding-agent/): Learn how to use GitHub Copilot coding agent to autonomously work on issues, generate pull requests, and automate development tasks.
- [What are Agents, Skills, and Instructions](https://awesome-copilot.github.com/learning-hub/what-are-agents-skills-instructions/): Understand the primary customization primitives that extend GitHub Copilot for specific workflows.

## Agents

- [.NET Self Learning Architect](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/dotnet-self-learning-architect.agent.md): Senior .NET architect for complex delivery: designs .NET 6+ systems, decides between parallel subagents and orchestrated team execution, documents lessons learned, and captures durable project memory for future work.
- [.NET Upgrade](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/dotnet-upgrade.agent.md): Perform janitorial tasks on C#/.NET code including cleanup, modernization, and tech debt remediation.
- [Accessibility Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/accessibility.agent.md): Expert assistant for web accessibility (WCAG 2.1/2.2), inclusive UX, and a11y testing
- [Accessibility Runtime Tester](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/accessibility-runtime-tester.agent.md): Runtime accessibility specialist for keyboard flows, focus management, dialog behavior, form errors, and evidence-backed WCAG validation in the browser.
- [ADR Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/adr-generator.agent.md): Expert agent for creating comprehensive Architectural Decision Records (ADRs) with structured formatting optimized for AI consumption and human readability.
- [AEM Front End Specialist](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/aem-frontend-specialist.agent.md): Expert assistant for developing AEM components using HTL, Tailwind CSS, and Figma-to-code workflows with design system integration
- [Agent Governance Reviewer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/agent-governance-reviewer.agent.md): AI agent governance expert that reviews code for safety issues, missing governance controls, and helps implement policy enforcement, trust scoring, and audit trails in agent systems.
- [Ai Readiness Reporter](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/ai-readiness-reporter.agent.md): Runs the AgentRC readiness assessment on the current repository and produces a self-contained, static HTML dashboard at reports/index.html. Explains every readiness pillar, the maturity level, and an actionable remediation plan, framed by AgentRC measure → generate → maintain loop. Use when asked to assess, audit, score, report on, or visualise the AI readiness of a repo.
- [Ai Team Dev](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/ai-team-dev.agent.md): AI development team agent (Nova, Sage, Milo). Use when: building features, writing application code, fixing bugs, implementing UI components, creating APIs, styling with CSS, writing database queries, or executing sprint plans. The team switches between frontend, backend, and design roles as needed.
- [Ai Team Producer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/ai-team-producer.agent.md): AI team producer agent (Remy). Use when: planning sprints, creating PROJECT_BRIEF.md, triaging bugs, merging PRs, coordinating between dev and QA teams, filing GitHub Issues, writing sprint plans, running brainstorms, or recovering project context. NEVER writes application code.
- [Ai Team Qa](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/ai-team-qa.agent.md): AI QA engineer agent (Ivy). Use when: testing features, running E2E tests, playtesting, filing bug reports, writing test automation, creating QA sign-off documents, or verifying bug fixes. Reports bugs as GitHub Issues.
- [Amplitude Experiment Implementation](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/amplitude-experiment-implementation.agent.md): This custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features.
- [API Architect](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/api-architect.agent.md): Your role is that of an API architect. Help mentor the engineer by providing guidance, support, and working code.
- [Apify Integration Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/apify-integration-expert.agent.md): Expert agent for integrating Apify Actors into codebases. Handles Actor selection, workflow design, implementation across JavaScript/TypeScript and Python, testing, and production-ready deployment.
- [Arch Linux Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/arch-linux-expert.agent.md): Arch Linux specialist focused on pacman, rolling-release maintenance, and Arch-centric system administration workflows.
- [Arm Migration Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/arm-migration.agent.md): Arm Cloud Migration Assistant accelerates moving x86 workloads to Arm infrastructure. It scans the repository for architecture assumptions, portability issues, container base image and dependency incompatibilities, and recommends Arm-optimized changes. It can drive multi-arch container builds, validate performance, and guide optimization, enabling smooth cross-platform deployment directly inside GitHub.
- [Atlassian Requirements to Jira](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/atlassian-requirements-to-jira.agent.md): Transform requirements documents into structured Jira epics and user stories with intelligent duplicate detection, change management, and user-approved creation workflow.
- [AVM Owner Triage](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/azure-verified-modules-owner-triage.agent.md): Triage open GitHub issues across the Azure Verified Modules (AVM) repos an owner maintains. Splits the backlog into a Copilot-delegatable pile and a human pile, produces a report with a delegation ratio, and never comments or assigns without explicit user approval.
- [Aws Cloud Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/aws-cloud-expert.agent.md): AWS Cloud Expert provides deep, hands-on guidance for designing, building, and operating AWS workloads. Covers the full AWS ecosystem — serverless, containers, databases, networking, IaC, security, and cost optimization — grounded in the AWS Well-Architected Framework.
- [Aws Principal Architect](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/aws-principal-architect.agent.md): Provide expert AWS Principal Architect guidance using AWS Well-Architected Framework principles and AWS best practices.
- [Aws Serverless Architect](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/aws-serverless-architect.agent.md): Provide expert AWS Serverless Architect guidance focusing on event-driven architectures, Lambda, API Gateway, and serverless best practices.
- [Azure AVM Bicep mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/azure-verified-modules-bicep.agent.md): Create, update, or review Azure IaC in Bicep using Azure Verified Modules (AVM).
- [Azure AVM Terraform mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/azure-verified-modules-terraform.agent.md): Create, update, or review Azure IaC in Terraform using Azure Verified Modules (AVM).
- [Azure Iac Exporter](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/azure-iac-exporter.agent.md): Export existing Azure resources to Infrastructure as Code templates via Azure Resource Graph analysis, Azure Resource Manager API calls, and azure-iac-generator integration. Use this skill when the user asks to export, convert, migrate, or extract existing Azure resources to IaC templates (Bicep, ARM Templates, Terraform, Pulumi).
- [Azure Iac Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/azure-iac-generator.agent.md): Central hub for generating Infrastructure as Code (Bicep, ARM, Terraform, Pulumi) with format-specific validation and best practices. Use this skill when the user asks to generate, create, write, or build infrastructure code, deployment code, or IaC templates in any format (Bicep, ARM Templates, Terraform, Pulumi).
- [Azure Logic Apps Expert Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/azure-logic-apps-expert.agent.md): Expert guidance for Azure Logic Apps development focusing on workflow design, integration patterns, and JSON-based Workflow Definition Language.
- [Azure Policy Analyzer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/azure-policy-analyzer.agent.md): Analyze Azure Policy compliance posture (NIST SP 800-53, MCSB, CIS, ISO 27001, PCI DSS, SOC 2), auto-discover scope, and return a structured single-pass risk report with evidence and remediation commands.
- [Azure Principal Architect mode instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/azure-principal-architect.agent.md): Provide expert Azure Principal Architect guidance using Azure Well-Architected Framework principles and Microsoft best practices.
- [Azure SaaS Architect mode instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/azure-saas-architect.agent.md): Provide expert Azure SaaS Architect guidance focusing on multitenant applications using Azure Well-Architected SaaS principles and Microsoft best practices.
- [Azure Smart City IoT Architect](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/azure-smart-city-iot-architect.agent.md): Design Azure IoT and Smart City architectures with clear platform engineering reasoning, requiring mandatory review of Azure IoT Edge documentation before recommending edge solutions.
- [Azure Terraform IaC Implementation Specialist](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/terraform-azure-implement.agent.md): Act as an Azure Terraform Infrastructure as Code coding specialist that creates and reviews Terraform for Azure resources.
- [Azure Terraform Infrastructure Planning](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/terraform-azure-planning.agent.md): Act as implementation planner for your Azure Terraform Infrastructure as Code task.
- [Bicep Planning](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/bicep-plan.agent.md): Act as implementation planner for your Azure Bicep Infrastructure as Code task.
- [Bicep Specialist](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/bicep-implement.agent.md): Act as an Azure Bicep Infrastructure as Code coding specialist that creates Bicep templates.
- [Blueprint Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/blueprint-mode.agent.md): Executes structured workflows (Debug, Express, Main, Loop) with strict correctness and maintainability. Enforces an improved tool usage policy, never assumes facts, prioritizes reproducible solutions, self-correction, and edge-case handling.
- [C# Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/CSharpExpert.agent.md): An agent designed to assist with software development tasks for .NET projects.
- [C# MCP Server Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/csharp-mcp-expert.agent.md): Expert assistant for developing Model Context Protocol (MCP) servers in C#
- [C#/.NET Janitor](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/csharp-dotnet-janitor.agent.md): Perform janitorial tasks on C#/.NET code including cleanup, modernization, and tech debt remediation.
- [C++ Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/expert-cpp-software-engineer.agent.md): Provide expert C++ software engineering guidance using modern C++ and industry best practices.
- [CAST Imaging Impact Analysis Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/cast-imaging-impact-analysis.agent.md): Specialized agent for comprehensive change impact assessment and risk analysis in software systems using CAST Imaging
- [CAST Imaging Software Discovery Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/cast-imaging-software-discovery.agent.md): Specialized agent for comprehensive software application discovery and architectural mapping through static code analysis using CAST Imaging
- [CAST Imaging Structural Quality Advisor Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/cast-imaging-structural-quality-advisor.agent.md): Specialized agent for identifying, analyzing, and providing remediation guidance for code quality issues using CAST Imaging
- [Caveman Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/caveman-mode.agent.md): Terse, low-token responses. Minimal words, no fluff. Full capabilities preserved. Use when: optimize token usage, low-token mode, concise output, caveman mode, reduce verbosity, token-efficient, brief responses.
- [CentOS Linux Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/centos-linux-expert.agent.md): CentOS (Stream/Legacy) Linux specialist focused on RHEL-compatible administration, yum/dnf workflows, and enterprise hardening.
- [Clojure Interactive Programming](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/clojure-interactive-programming.agent.md): Expert Clojure pair programmer with REPL-first methodology, architectural oversight, and interactive problem-solving. Enforces quality standards, prevents workarounds, and develops solutions incrementally through live REPL evaluation before file modifications.
- [Comet Opik](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/comet-opik.agent.md): Unified Comet Opik agent for instrumenting LLM apps, managing prompts/projects, auditing prompts, and investigating traces/metrics via the latest Opik MCP server.
- [Context Architect](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/context-architect.agent.md): An agent that helps plan and execute multi-file changes by identifying relevant context and dependencies
- [Context7 Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/context7.agent.md): Expert in latest library versions, best practices, and correct syntax using up-to-date documentation
- [Create PRD Chat Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/prd.agent.md): Generate a comprehensive Product Requirements Document (PRD) in Markdown, detailing user stories, acceptance criteria, technical considerations, and metrics. Optionally create GitHub issues upon user confirmation.
- [Critical thinking mode instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/critical-thinking.agent.md): Challenge assumptions and encourage critical thinking to ensure the best possible solution and outcomes.
- [Custom Agent Foundry](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/custom-agent-foundry.agent.md): Expert at designing and creating VS Code custom agents with optimal configurations
- [Debian Linux Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/debian-linux-expert.agent.md): Debian Linux specialist focused on stable system administration, apt-based package management, and Debian policy-aligned practices.
- [Debug Mode Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/debug.agent.md): Debug your application to find and fix a bug
- [Declarative Agents Architect](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/declarative-agents-architect.agent.md): No description available
- [Defender Scout KQL](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/defender-scout-kql.agent.md): Generates, validates, and optimizes KQL queries for Microsoft Defender XDR Advanced Hunting across Endpoint, Identity, Office 365, Cloud Apps, and Identity.
- [Delphi Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/delphi-expert.agent.md): An agent designed to assist with software development tasks for Delphi/Object Pascal projects.
- [Demonstrate Understanding mode instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/demonstrate-understanding.agent.md): Validate user understanding of code, design patterns, and implementation details through guided questioning.
- [Devils Advocate](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/devils-advocate.agent.md): I play the devil's advocate to challenge and stress-test your ideas by finding flaws, risks, and edge cases
- [DevOps Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/devops-expert.agent.md): DevOps specialist following the infinity loop principle (Plan → Code → Build → Test → Release → Deploy → Operate → Monitor) with focus on automation, collaboration, and continuous improvement
- [DevTools Regression Investigator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/devtools-regression-investigator.agent.md): Browser regression specialist for reproducing broken user flows, collecting console and network evidence, and narrowing likely root causes with Chrome DevTools MCP.
- [DiffblueCover](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/diffblue-cover.agent.md): Expert agent for creating unit tests for java applications using Diffblue Cover.
- [Dotnet Fullstack Mentor](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/dotnet-fullstack-mentor.agent.md): Opinionated mentor for .NET full-stack development, guiding career progression from junior to staff levels with expertise in Clean Architecture, Aspire, and C# best practices.
- [Doublecheck](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/doublecheck.agent.md): Interactive verification agent for AI-generated output. Runs a three-layer pipeline (self-audit, source verification, adversarial review) and produces structured reports with source links for human review.
- [Droid](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/droid.agent.md): Provides installation guidance, usage examples, and automation patterns for the Droid CLI, with emphasis on droid exec for CI/CD and non-interactive automation
- [Drupal Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/drupal-expert.agent.md): Expert assistant for Drupal development, architecture, and best practices using PHP 8.3+ and modern Drupal patterns
- [Dynatrace Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/dynatrace-expert.agent.md): The Dynatrace Expert Agent integrates observability and security capabilities directly into GitHub workflows, enabling development teams to investigate incidents, validate deployments, triage errors, detect performance regressions, validate releases, and manage security vulnerabilities by autonomously analysing traces, logs, and Dynatrace findings. This enables targeted and precise remediation of identified issues directly within the repository.
- [Elasticsearch Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/elasticsearch-observability.agent.md): Our expert AI assistant for debugging code (O11y), optimizing vector search (RAG), and remediating security threats using live Elastic data.
- [Electron Code Review Mode Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/electron-angular-native.agent.md): Code Review Mode tailored for Electron app with Node.js backend (main), Angular frontend (render), and native integration layer (e.g., AppleScript, shell, or native tooling). Services in other repos are not reviewed here.
- [Ember](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/ember.agent.md): An AI partner, not an assistant. Ember carries fire from person to person — helping humans discover that AI partnership isn't something you learn, it's something you find.
- [Expert .NET software engineer mode instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/expert-dotnet-software-engineer.agent.md): Provide expert .NET software engineering guidance using modern software design patterns.
- [Expert Embedded C Engineer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/expert-embedded-c-engineer.agent.md): Expert embedded C guidance for safety-critical systems — covers MISRA C:2012/2025 rule compliance, CERT C secure coding, static analysis tooling (Coverity, QAC, PC-lint), and defensive programming patterns that frontier models do not handle reliably by default.
- [Expert Nuxt Developer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/nuxt-expert.agent.md): Expert Nuxt developer specializing in Nuxt 3, Nitro, server routes, data fetching strategies, and performance optimization with Vue 3 and TypeScript
- [Expert React Frontend Engineer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/expert-react-frontend-engineer.agent.md): Expert React 19.2 frontend engineer specializing in modern hooks, Server Components, Actions, TypeScript, and performance optimization
- [Expert Vue.js Frontend Engineer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/vuejs-expert.agent.md): Expert Vue.js frontend engineer specializing in Vue 3 Composition API, reactivity, state management, testing, and performance with TypeScript
- [Fedora Linux Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/fedora-linux-expert.agent.md): Fedora (Red Hat family) Linux specialist focused on dnf, SELinux, and modern systemd-based workflows.
- [Frontend Performance Investigator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/frontend-performance-investigator.agent.md): Runtime web-performance specialist for diagnosing Core Web Vitals, Lighthouse regressions, layout shifts, long tasks, and slow network paths with Chrome DevTools MCP.
- [Gem Browser Tester](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-browser-tester.agent.md): E2E browser testing, UI/UX validation, visual regression.
- [Gem Code Simplifier](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-code-simplifier.agent.md): Refactoring specialist — removes dead code, reduces complexity, consolidates duplicates.
- [Gem Critic](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-critic.agent.md): Challenges assumptions, finds edge cases, spots over-engineering and logic gaps.
- [Gem Debugger](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-debugger.agent.md): Root-cause analysis, stack trace diagnosis, regression bisection, error reproduction.
- [Gem Designer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-designer.agent.md): UI/UX design specialist — layouts, themes, color schemes, design systems, accessibility.
- [Gem Designer Mobile](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-designer-mobile.agent.md): Mobile UI/UX specialist — HIG, Material Design, safe areas, touch targets.
- [Gem Devops](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-devops.agent.md): Infrastructure deployment, CI/CD pipelines, container management.
- [Gem Documentation Writer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-documentation-writer.agent.md): Technical documentation, README files, API docs, diagrams, walkthroughs.
- [Gem Implementer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-implementer.agent.md): TDD code implementation — features, bugs, refactoring. Never reviews own work.
- [Gem Implementer Mobile](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-implementer-mobile.agent.md): Mobile implementation — React Native, Expo, Flutter with TDD.
- [Gem Mobile Tester](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-mobile-tester.agent.md): Mobile E2E testing — Detox, Maestro, iOS/Android simulators.
- [Gem Orchestrator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-orchestrator.agent.md): The team lead: Orchestrates planning, implementation, and verification.
- [Gem Planner](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-planner.agent.md): DAG-based execution plans — task decomposition, wave scheduling, risk analysis.
- [Gem Researcher](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-researcher.agent.md): Codebase exploration — patterns, dependencies, architecture discovery. Supports multiple exploration modes for cost-controlled research.
- [Gem Reviewer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-reviewer.agent.md): Security auditing, code review, OWASP scanning, PRD compliance verification.
- [Gem Skill Creator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gem-skill-creator.agent.md): Pattern-to-skill extraction — creates agent skills files from high-confidence learnings.
- [Gilfoyle Code Review Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/gilfoyle.agent.md): Code review and analysis with the sardonic wit and technical elitism of Bertram Gilfoyle from Silicon Valley. Prepare for brutal honesty about your code.
- [GitHub Actions Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/github-actions-expert.agent.md): GitHub Actions specialist focused on secure CI/CD workflows, action pinning, OIDC authentication, permissions least privilege, and supply-chain security
- [GitHub Actions Node Runtime Upgrade](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/github-actions-node-upgrade.agent.md): Upgrade a GitHub Actions JavaScript/TypeScript action to a newer Node runtime version (e.g., node20 to node24) with major version bump, CI updates, and full validation
- [Go MCP Server Development Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/go-mcp-expert.agent.md): Expert assistant for building Model Context Protocol (MCP) servers in Go using the official SDK.
- [High Level Big Picture Architect (HLBPA)](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/hlbpa.agent.md): Your perfect AI chat mode for high-level architectural documentation and review. Perfect for targeted updates after a story or researching that legacy system when nobody remembers what it's supposed to be doing.
- [Idea Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/simple-app-idea-generator.agent.md): Brainstorm and develop new application ideas through fun, interactive questioning until ready for specification creation.
- [Implementation Plan Generation Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/implementation-plan.agent.md): Generate an implementation plan for new features or refactoring existing code.
- [Java MCP Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/java-mcp-expert.agent.md): Expert assistance for building Model Context Protocol servers in Java using reactive streams, the official MCP Java SDK, and Spring Boot integration.
- [JFrog Security Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/jfrog-sec.agent.md): The dedicated Application Security agent for automated security remediation. Verifies package and version compliance, and suggests vulnerability fixes using JFrog security intelligence.
- [Kotlin MCP Server Development Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/kotlin-mcp-expert.agent.md): Expert assistant for building Model Context Protocol (MCP) servers in Kotlin using the official SDK.
- [KubeStellar Console](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/kubestellar-console.agent.md): Kubernetes operations expert for KubeStellar Console — helps you set up the console, configure kc-agent (MCP server), connect clusters, deploy workloads, and query live Kubernetes data via AI chat.
- [Kusto Assistant](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/kusto-assistant.agent.md): Expert KQL assistant for live Azure Data Explorer analysis via Azure MCP server
- [Laravel Expert Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/laravel-expert-agent.agent.md): Expert Laravel development assistant specializing in modern Laravel 12+ applications with Eloquent, Artisan, testing, and best practices
- [Launchdarkly Flag Cleanup](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/launchdarkly-flag-cleanup.agent.md): A specialized GitHub Copilot agent that uses the LaunchDarkly MCP server to safely automate feature flag cleanup workflows. This agent determines removal readiness, identifies the correct forward value, and creates PRs that preserve production behavior while removing obsolete flags and updating stale defaults.
- [Lingo.dev Localization (i18n) Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/lingodotdev-i18n.agent.md): Expert at implementing internationalization (i18n) in web applications using a systematic, checklist-driven approach.
- [LinkedIn Post Writer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/linkedin-post-writer.agent.md): Draft and format compelling LinkedIn posts with Unicode bold/italic styling, visual separators, and engagement-optimized structure. Transforms raw content, technical material, images, or ideas into copy-paste-ready LinkedIn posts.
- [Markdown Accessibility Assistant](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/markdown-accessibility-assistant.agent.md): Improves the accessibility of markdown files using five GitHub best practices
- [MAUI Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/dotnet-maui.agent.md): Support development of .NET MAUI cross-platform apps with controls, XAML, handlers, and performance best practices.
- [MCP M365 Agent Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/mcp-m365-agent-expert.agent.md): Expert assistant for building MCP-based declarative agents for Microsoft 365 Copilot with Model Context Protocol integration
- [Mentor mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/mentor.agent.md): Help mentor the engineer by providing guidance and support.
- [Meta Agentic Project Scaffold](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/meta-agentic-project-scaffold.agent.md): Meta agentic project creation assistant to help users create and manage project workflows effectively.
- [Microsoft Learn Contributor](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/microsoft_learn_contributor.agent.md): Microsoft Learn Contributor chatmode for editing and writing Microsoft Learn documentation following Microsoft Writing Style Guide and authoring best practices.
- [Microsoft Study and Learn](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/microsoft-study-mode.agent.md): Activate your personal Microsoft/Azure tutor - learn through guided discovery, not just answers.
- [Modernization Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/modernization.agent.md): Human-in-the-loop modernization assistant for analyzing, documenting, and planning complete project modernization with architectural recommendations.
- [Monday Bug Context Fixer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/monday-bug-fixer.agent.md): Elite bug-fixing agent that enriches task context from Monday.com platform data. Gathers related items, docs, comments, epics, and requirements to deliver production-quality fixes with comprehensive PRs.
- [Mongodb Performance Advisor](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/mongodb-performance-advisor.agent.md): Analyze MongoDB database performance, offer query and index optimization insights and provide actionable recommendations to improve overall usage of the database.
- [MS SQL Database Administrator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/ms-sql-dba.agent.md): Work with Microsoft SQL Server databases using the MS SQL extension.
- [Neo4j Docker Client Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/neo4j-docker-client-generator.agent.md): AI agent that generates simple, high-quality Python Neo4j client libraries from GitHub issues with proper best practices
- [Neon Migration Specialist](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/neon-migration-specialist.agent.md): Safe Postgres migrations with zero-downtime using Neon's branching workflow. Test schema changes in isolated database branches, validate thoroughly, then apply to production—all automated with support for Prisma, Drizzle, or your favorite ORM.
- [Neon Performance Analyzer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/neon-optimization-analyzer.agent.md): Identify and fix slow Postgres queries automatically using Neon's branching workflow. Analyzes execution plans, tests optimizations in isolated database branches, and provides clear before/after performance metrics with actionable code fixes.
- [New Relic Incident Response Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/new-relic-incident-response.agent.md): Identify and fix production issues by correlating New Relic observability data with code changes. Analyze alerts, transaction traces, error analytics, and deployments to find root causes and suggest code fixes.
- [Next.js Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/expert-nextjs-developer.agent.md): Expert Next.js 16 developer specializing in App Router, Server Components, Cache Components, Turbopack, and modern React patterns with TypeScript
- [Octopus Release Notes With Mcp](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/octopus-deploy-release-notes-mcp.agent.md): Generate release notes for a release in Octopus Deploy. The tools for this MCP server provide access to the Octopus Deploy APIs.
- [One Shot Feature Issue Planner](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/one-shot-feature-issue-planner.agent.md): Cloud Agent to Turn a single new-feature request into a complete, issue-ready implementation plan without follow-up questions.
- [OpenAPI to Application Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/openapi-to-application.agent.md): Expert assistant for generating working applications from OpenAPI specifications
- [Oracle To PostgreSQL Migration Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/oracle-to-postgres-migration-expert.agent.md): Agent for Oracle-to-PostgreSQL application migrations. Educates users on migration concepts, pitfalls, and best practices; makes code edits and runs commands directly; and invokes extension tools on user confirmation.
- [PagerDuty Incident Responder](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/pagerduty-incident-responder.agent.md): Responds to PagerDuty incidents by analyzing incident context, identifying recent code changes, and suggesting fixes via GitHub PRs.
- [PHP MCP Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/php-mcp-expert.agent.md): Expert assistant for PHP MCP server development using the official PHP SDK with attribute-based discovery
- [Pimcore Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/pimcore-expert.agent.md): Expert Pimcore development assistant specializing in CMS, DAM, PIM, and E-Commerce solutions with Symfony integration
- [Plan Mode   Strategic Planning & Architecture](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/plan.agent.md): Strategic planning and architecture assistant focused on thoughtful analysis before implementation. Helps developers understand codebases, clarify requirements, and develop comprehensive implementation strategies.
- [Planning mode instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/planner.agent.md): Generate an implementation plan for new features or refactoring existing code.
- [Platform SRE for Kubernetes](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/platform-sre-kubernetes.agent.md): SRE-focused Kubernetes specialist prioritizing reliability, safe rollouts/rollbacks, security defaults, and operational verification for production-grade deployments
- [Playwright Tester Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/playwright-tester.agent.md): Testing mode for Playwright tests
- [PostgreSQL Database Administrator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/postgresql-dba.agent.md): Work with PostgreSQL databases using the PostgreSQL extension.
- [Power BI Data Modeling Expert Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/power-bi-data-modeling-expert.agent.md): Expert Power BI data modeling guidance using star schema principles, relationship design, and Microsoft best practices for optimal model performance and usability.
- [Power BI DAX Expert Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/power-bi-dax-expert.agent.md): Expert Power BI DAX guidance using Microsoft best practices for performance, readability, and maintainability of DAX formulas and calculations.
- [Power BI Performance Expert Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/power-bi-performance-expert.agent.md): Expert Power BI performance optimization guidance for troubleshooting, monitoring, and improving the performance of Power BI models, reports, and queries.
- [Power BI Visualization Expert Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/power-bi-visualization-expert.agent.md): Expert Power BI report design and visualization guidance using Microsoft best practices for creating effective, performant, and user-friendly reports and dashboards.
- [Power Platform Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/power-platform-expert.agent.md): Power Platform expert providing guidance on Code Apps, canvas apps, Dataverse, connectors, and Power Platform best practices
- [Power Platform MCP Integration Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/power-platform-mcp-integration-expert.agent.md): Expert in Power Platform custom connector development with MCP integration for Copilot Studio - comprehensive knowledge of schemas, protocols, and integration patterns
- [Principal software engineer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/principal-software-engineer.agent.md): Provide principal-level software engineering guidance with focus on engineering excellence, technical leadership, and pragmatic implementation.
- [Project Architecture Planner](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/project-architecture-planner.agent.md): Holistic software architecture planner that evaluates tech stacks, designs scalability roadmaps, performs cloud-agnostic cost analysis, reviews existing codebases, and delivers interactive Mermaid diagrams with HTML preview and draw.io export
- [Project Documenter](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/project-documenter.agent.md): Generates professional MS Word project documentation with draw.io architecture diagrams and embedded PNG images. Automatically discovers any project's technology stack, architecture, and code structure. Produces Markdown, draw.io diagrams, PNG exports, and .docx output.
- [Prompt Builder](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/prompt-builder.agent.md): Expert prompt engineering and validation system for creating high-quality prompts - Brought to you by microsoft/edge-ai
- [Prompt Engineer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/prompt-engineer.agent.md): A specialized chat mode for analyzing and improving prompts. Every user input is treated as a prompt to be improved. It first provides a detailed analysis of the original prompt within a <reasoning> tag, evaluating it against a systematic framework based on OpenAI's prompt engineering best practices. Following the analysis, it generates a new, improved prompt.
- [PySpark Expert Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/spark-performance.agent.md): Diagnose PySpark performance bottlenecks, distributed execution pitfalls, and suggest Spark-native rewrites and safer distributed patterns (incl. mapInPandas guidance).
- [Python MCP Server Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/python-mcp-expert.agent.md): Expert assistant for developing Model Context Protocol (MCP) servers in Python
- [Python Notebook Sample Builder](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/python-notebook-sample-builder.agent.md): Custom agent for building Python Notebooks in VS Code that demonstrate Azure and AI features
- [QA](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/qa-subagent.agent.md): Meticulous QA subagent for test planning, bug hunting, edge-case analysis, and implementation verification.
- [Quality Playbook](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/quality-playbook.agent.md): Run a complete quality engineering audit on any codebase. Orchestrates six phases — explore, generate, review, audit, reconcile, verify — each in its own context window for maximum depth. Then runs iteration strategies to find even more bugs. Finds the 35% of real defects that structural code review alone cannot catch.
- [React18 Auditor](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react18-auditor.agent.md): Deep-scan specialist for React 16/17 class-component codebases targeting React 18.3.1. Finds unsafe lifecycle methods, legacy context, batching vulnerabilities, event delegation assumptions, string refs, and all 18.3.1 deprecation surface. Reads everything, touches nothing. Saves .github/react18-audit.md.
- [React18 Batching Fixer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react18-batching-fixer.agent.md): Automatic batching regression specialist. React 18 batches ALL setState calls including those in Promises, setTimeout, and native event handlers - React 16/17 did NOT. Class components with async state chains that assumed immediate intermediate re-renders will produce wrong state. This agent finds every vulnerable pattern and fixes with flushSync where semantically required.
- [React18 Class Surgeon](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react18-class-surgeon.agent.md): Class component migration specialist for React 16/17 → 18.3.1. Migrates all three unsafe lifecycle methods with correct semantic replacements (not just UNSAFE_ prefix). Migrates legacy context to createContext, string refs to React.createRef(), findDOMNode to direct refs, and ReactDOM.render to createRoot. Uses memory to checkpoint per-file progress.
- [React18 Commander](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react18-commander.agent.md): Master orchestrator for React 16/17 → 18.3.1 migration. Designed for class-component-heavy codebases. Coordinates audit, dependency upgrade, class component surgery, automatic batching fixes, and test verification. Uses memory to gate each phase and resume interrupted sessions. 18.3.1 is the target - it surface-exposes every deprecation that React 19 will remove, so the output is a codebase ready for the React 19 orchestra next.
- [React18 Dep Surgeon](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react18-dep-surgeon.agent.md): Dependency upgrade specialist for React 16/17 → 18.3.1. Pins to 18.3.1 exactly (not 18.x latest). Upgrades RTL to v14, Apollo 3.8+, Emotion 11.10+, react-router v6. Detects and blocks on Enzyme (no React 18 support). Returns GO/NO-GO to commander.
- [React18 Test Guardian](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react18-test-guardian.agent.md): Test suite fixer and verifier for React 16/17 → 18.3.1 migration. Handles RTL v14 async act() changes, automatic batching test regressions, StrictMode double-invoke count updates, and Enzyme → RTL rewrites if Enzyme is present. Loops until zero test failures. Invoked as subagent by react18-commander.
- [React19 Auditor](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react19-auditor.agent.md): Deep-scan specialist that identifies every React 19 breaking change and deprecated pattern across the entire codebase. Produces a prioritized migration report at .github/react19-audit.md. Reads everything, touches nothing. Invoked as a subagent by react19-commander.
- [React19 Commander](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react19-commander.agent.md): Master orchestrator for React 19 migration. Invokes specialist subagents in sequence - auditor, dep-surgeon, migrator, test-guardian - and gates advancement between steps. Uses memory to track migration state across the pipeline. Zero tolerance for incomplete migrations.
- [React19 Dep Surgeon](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react19-dep-surgeon.agent.md): Dependency upgrade specialist. Installs React 19, resolves all peer dependency conflicts, upgrades testing-library, Apollo, and Emotion. Uses memory to log each upgrade step. Returns GO/NO-GO to the commander. Invoked as a subagent by react19-commander.
- [React19 Migrator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react19-migrator.agent.md): Source code migration engine. Rewrites every deprecated React pattern to React 19 APIs - forwardRef, defaultProps, ReactDOM.render, legacy context, string refs, useRef(). Uses memory to checkpoint progress per file. Never touches test files. Returns zero-deprecated-pattern confirmation to commander.
- [React19 Test Guardian](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/react19-test-guardian.agent.md): Test suite fixer and verification specialist. Migrates all test files to React 19 compatibility and runs the suite until zero failures. Uses memory to track per-file fix progress and failure history. Does not stop until npm test reports 0 failures. Invoked as a subagent by react19-commander.
- [Reepl Linkedin](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/reepl-linkedin.agent.md): AI-powered LinkedIn content creation, scheduling, and analytics agent. Create posts, carousels, and manage your LinkedIn presence with GitHub Copilot.
- [Refine Requirement or Issue](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/refine-issue.agent.md): Refine the requirement or issue with Acceptance Criteria, Technical Considerations, Edge Cases, and NFRs
- [Repo Architect Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/repo-architect.agent.md): Bootstraps and validates agentic project structures for GitHub Copilot (VS Code) and OpenCode CLI workflows. Run after `opencode /init` or VS Code Copilot initialization to scaffold proper folder hierarchies, instructions, agents, skills, and prompts.
- [Ruby MCP Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/ruby-mcp-expert.agent.md): Expert assistance for building Model Context Protocol servers in Ruby using the official MCP Ruby SDK gem with Rails integration.
- [RUG](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/rug-orchestrator.agent.md): Pure orchestration agent that decomposes requests, delegates all work to subagents, validates outcomes, and repeats until complete.
- [Rust MCP Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/rust-mcp-expert.agent.md): Expert assistant for Rust MCP server development using the rmcp SDK with tokio async runtime
- [Salesforce Apex & Triggers Development](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/salesforce-apex-triggers.agent.md): Implement Salesforce business logic using Apex classes and triggers with production-quality code following Salesforce best practices.
- [Salesforce Expert Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/salesforce-expert.agent.md): Provide expert Salesforce Platform guidance, including Apex Enterprise Patterns, LWC, integration, and Aura-to-LWC migration.
- [Salesforce Flow Development](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/salesforce-flow.agent.md): Implement business automation using Salesforce Flow following declarative automation best practices.
- [Salesforce UI Development (Aura & LWC)](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/salesforce-aura-lwc.agent.md): Implement Salesforce UI components using Lightning Web Components and Aura components following Lightning framework best practices.
- [Salesforce Visualforce Development](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/salesforce-visualforce.agent.md): Implement Visualforce pages and controllers following Salesforce MVC architecture and best practices.
- [Sast Sca Security Analyzer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/sast-sca-security-analyzer.agent.md): Use when: performing SAST (Static Application Security Testing), SCA (Software Composition Analysis), scanning source code or binaries for security flaws, auditing third-party dependency vulnerabilities, checking policy compliance, generating structured security reports, identifying CWE-mapped flaws with file/line precision, reviewing open-source license risk, or producing CI/CD-gate security findings.
- [Scientific Paper Research](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/scientific-paper-research.agent.md): Research agent that searches scientific papers and retrieves structured experimental data from full-text studies using the BGPT MCP server.
- [SE: Architect](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/se-system-architecture-reviewer.agent.md): System architecture review specialist with Well-Architected frameworks, design validation, and scalability analysis for AI and distributed systems
- [SE: DevOps/CI](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/se-gitops-ci-specialist.agent.md): DevOps specialist for CI/CD pipelines, deployment debugging, and GitOps workflows focused on making deployments boring and reliable
- [SE: Product Manager](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/se-product-manager-advisor.agent.md): Product management guidance for creating GitHub issues, aligning business value with user needs, and making data-driven product decisions
- [SE: Responsible AI](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/se-responsible-ai-code.agent.md): Responsible AI specialist ensuring AI works for everyone through bias prevention, accessibility compliance, ethical development, and inclusive design
- [SE: Security](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/se-security-reviewer.agent.md): Security-focused code review specialist with OWASP Top 10, Zero Trust, LLM security, and enterprise security standards
- [SE: Tech Writer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/se-technical-writer.agent.md): Technical writing specialist for creating developer documentation, technical blogs, tutorials, and educational content
- [SE: UX Designer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/se-ux-ui-designer.agent.md): Jobs-to-be-Done analysis, user journey mapping, and UX research artifacts for Figma and design workflows
- [Search & AI Optimization Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/search-ai-optimization-expert.agent.md): Expert guidance for modern search optimization: SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) with AI-ready content strategies
- [Senior Cloud Architect](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/arch.agent.md): Expert in modern architecture design patterns, NFR requirements, and creating comprehensive architectural diagrams and documentation
- [Sensei   Junior Mentor](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/mentoring-juniors.agent.md): Socratic mentor for junior developers. Guides through questions, never gives direct answers. Helps beginners understand code, debug issues, and build autonomy using the PEAR Loop and progressive clue systems.
- [Shopify Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/shopify-expert.agent.md): Expert Shopify development assistant specializing in theme development, Liquid templating, app development, and Shopify APIs
- [Software Engineer Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/software-engineer-agent-v1.agent.md): Expert-level software engineering agent. Deliver production-ready, maintainable code. Execute systematically and specification-driven. Document comprehensively. Operate autonomously and adaptively.
- [Specification](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/specification.agent.md): Generate or update specification documents for new or existing functionality.
- [Stackhawk Security Onboarding](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/stackhawk-security-onboarding.agent.md): Automatically set up StackHawk security testing for your repository with generated configuration and GitHub Actions workflow
- [SWE](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/swe-subagent.agent.md): Senior software engineer subagent for implementation tasks: feature development, debugging, refactoring, and testing.
- [Swift MCP Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/swift-mcp-expert.agent.md): Expert assistance for building Model Context Protocol servers in Swift using modern concurrency features and the official MCP Swift SDK.
- [Task Planner Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/task-planner.agent.md): Task planner for creating actionable implementation plans - Brought to you by microsoft/edge-ai
- [Task Researcher Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/task-researcher.agent.md): Task research specialist for comprehensive project analysis - Brought to you by microsoft/edge-ai
- [TaxCore Technical Writer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/taxcore-technical-writer.agent.md): A domain-expert technical writer for the TaxCore electronic fiscal invoicing ecosystem. Use this agent to create, improve, or review documentation for TaxCore applications — including the Secure Element Reader, smart card workflows, fiscal invoicing concepts, audit processes, and PKI/SE security topics. Covers end-user guides, developer docs, reference material, and setup guides across all TaxCore-related surfaces.
- [TDD Green Phase   Make Tests Pass Quickly](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/tdd-green.agent.md): Implement minimal code to satisfy GitHub issue requirements and make failing tests pass without over-engineering.
- [TDD Red Phase   Write Failing Tests First](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/tdd-red.agent.md): Guide test-first development by writing failing tests that describe desired behaviour from GitHub issue context before implementation exists.
- [TDD Refactor Phase   Improve Quality & Security](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/tdd-refactor.agent.md): Improve code quality, apply security best practices, and enhance design whilst maintaining green tests and GitHub issue compliance.
- [Technical Content Evaluator](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/technical-content-evaluator.agent.md): Elite technical content editor and curriculum architect for evaluating technical training materials, documentation, and educational content. Reviews for technical accuracy, pedagogical excellence, content flow, code validation, and ensures A-grade quality standards.
- [Technical Debt Remediation Plan](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/tech-debt-remediation-plan.agent.md): Generate technical debt remediation plans for code, tests, and documentation.
- [Technical spike research mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/research-technical-spike.agent.md): Systematically research and validate technical spike documents through exhaustive investigation and controlled experimentation.
- [Terminal Helper](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/terminal-helper.agent.md): Fast terminal syntax and command helper for PowerShell and Bash
- [Terraform Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/terraform.agent.md): Terraform infrastructure specialist with automated HCP Terraform workflows. Leverages Terraform MCP server for registry integration, workspace management, and run orchestration. Generates compliant code using latest provider/module versions, manages private registries, automates variable sets, and orchestrates infrastructure deployments with proper validation and security practices.
- [Terraform Aws Implement](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/terraform-aws-implement.agent.md): Act as an AWS Terraform Infrastructure as Code coding specialist that creates and reviews Terraform for AWS resources.
- [Terraform Aws Planning](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/terraform-aws-planning.agent.md): Act as implementation planner for your AWS Terraform Infrastructure as Code task.
- [Terraform IaC Reviewer](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/terraform-iac-reviewer.agent.md): Terraform-focused agent that reviews and creates safer IaC changes with emphasis on state safety, least privilege, module patterns, drift detection, and plan/apply discipline
- [Terratest Module Testing](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/terratest-module-testing.agent.md): Generate and refactor Go Terratest suites for Terraform modules, including CI-safe patterns, staged tests, and negative-path validation.
- [Thinking Beast Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/Thinking-Beast-Mode.agent.md): A transcendent coding agent with quantum cognitive architecture, adversarial intelligence, and unrestricted creative freedom.
- [TypeScript MCP Server Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/typescript-mcp-expert.agent.md): Expert assistant for developing Model Context Protocol (MCP) servers in TypeScript
- [Ultimate Transparent Thinking Beast Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/Ultimate-Transparent-Thinking-Beast-Mode.agent.md): Ultimate Transparent Thinking Beast Mode
- [Universal Janitor](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/janitor.agent.md): Perform janitorial tasks on any codebase including cleanup, simplification, and tech debt remediation.
- [Universal PR Comment Addresser](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/address-comments.agent.md): Address PR comments
- [VS Code Insiders Accessibility Tracker](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/insiders-a11y-tracker.agent.md): Specialized agent for tracking and analyzing accessibility improvements in VS Code Insiders builds
- [VSCode Tour Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/code-tour.agent.md): Expert agent for creating and maintaining VSCode CodeTour files with comprehensive schema support and best practices
- [WG Code Alchemist](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/wg-code-alchemist.agent.md): Ask WG Code Alchemist to transform your code with Clean Code principles and SOLID design
- [WG Code Sentinel](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/wg-code-sentinel.agent.md): Ask WG Code Sentinel to review your code for security issues.
- [WinForms Expert](https://raw.githubusercontent.com/github/awesome-copilot/main/agents/WinFormsExpert.agent.md): Support development of .NET (OOP) WinForms Designer compatible Apps.

## Instructions

- [.NET Framework Upgrade Specialist](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dotnet-upgrade.instructions.md): Specialized agent for comprehensive .NET framework upgrades with progressive tracking and validation
- [A11y](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/a11y.instructions.md): Comprehensive web accessibility standards based on WCAG 2.2 AA, with 38+ anti-patterns, legal enforcement context (EAA, ADA Title II), WAI-ARIA patterns, and framework-specific fixes for modern web frameworks and libraries.
- [Agent Safety](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/agent-safety.instructions.md): Guidelines for building safe, governed AI agent systems. Apply when writing code that uses agent frameworks, tool-calling LLMs, or multi-agent orchestration to ensure proper safety boundaries, policy enforcement, and auditability.
- [Agent Skills](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/agent-skills.instructions.md): Guidelines for creating high-quality Agent Skills for GitHub Copilot
- [Agents](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/agents.instructions.md): Guidelines for creating custom agent files for GitHub Copilot
- [Ai Prompt Engineering Safety Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/ai-prompt-engineering-safety-best-practices.instructions.md): Comprehensive best practices for AI prompt engineering, safety frameworks, bias mitigation, and responsible AI usage for Copilot and LLMs.
- [Ansible](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/ansible.instructions.md): Ansible conventions and best practices
- [Apex](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/apex.instructions.md): Guidelines and best practices for Apex development on the Salesforce Platform
- [Arch Linux](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/arch-linux.instructions.md): Guidance for Arch Linux administration, pacman workflows, and rolling-release best practices.
- [Aspnet Rest Apis](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/aspnet-rest-apis.instructions.md): Guidelines for building REST APIs with ASP.NET
- [Astro](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/astro.instructions.md): Astro development standards and best practices for content-driven websites
- [Aws Appsync](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/aws-appsync.instructions.md): Production-grade guidance for AWS AppSync Event API handlers using APPSYNC_JS runtime restrictions, utilities, modules, and datasource patterns
- [Azure Devops Pipelines](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/azure-devops-pipelines.instructions.md): Best practices for Azure DevOps Pipeline YAML files
- [Azure Durable Functions Csharp](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/azure-durable-functions-csharp.instructions.md): Guidelines and best practices for building Azure Durable Functions in C# using the isolated worker model
- [Azure Functions Csharp](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/azure-functions-csharp.instructions.md): Guidelines and best practices for building Azure Functions in C# using the isolated worker model
- [Azure Functions Typescript](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/azure-functions-typescript.instructions.md): TypeScript patterns for Azure Functions
- [Azure Iot Edge Architecture](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/azure-iot-edge-architecture.instructions.md): Require Azure IoT Edge documentation review before proposing edge IoT architectures or Azure implementation guidance.
- [Azure Logic Apps Power Automate](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/azure-logic-apps-power-automate.instructions.md): Guidelines for developing Azure Logic Apps and Power Automate workflows with best practices for Workflow Definition Language (WDL), integration patterns, and enterprise automation
- [Azure Naming](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/azure-naming.instructions.md): Azure resource naming conventions based on Microsoft CAF (Cloud Adoption Framework). Use when creating, reviewing, or suggesting names for Azure resources.
- [Azure Verified Modules Bicep](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/azure-verified-modules-bicep.instructions.md): Azure Verified Modules (AVM) and Bicep
- [Azure Verified Modules Terraform](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/azure-verified-modules-terraform.instructions.md): Azure Verified Modules (AVM) and Terraform
- [Bicep Code Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/bicep-code-best-practices.instructions.md): Infrastructure as Code with Bicep
- [Blazor](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/blazor.instructions.md): Blazor component and application patterns
- [Caveman Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/caveman-mode.instructions.md): Terse, low-token responses. Minimal words, no fluff. Full capabilities preserved. Use when: optimize token usage, low-token mode, concise output, caveman mode, reduce verbosity, token-efficient, brief responses.
- [Centos Linux](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/centos-linux.instructions.md): Guidance for CentOS administration, RHEL-compatible tooling, and SELinux-aware operations.
- [Clojure](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/clojure.instructions.md): Clojure-specific coding patterns, inline def usage, code block templates, and namespace handling for Clojure development.
- [Cmake Vcpkg](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/cmake-vcpkg.instructions.md): C++ project configuration and package management
- [Code Review Generic](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/code-review-generic.instructions.md): Generic code review instructions that can be customized for any project using GitHub Copilot
- [Codexer](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/codexer.instructions.md): Advanced Python research assistant with Context 7 MCP integration, focusing on speed, reliability, and 10+ years of software development expertise
- [Coldfusion Cfc](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/coldfusion-cfc.instructions.md): ColdFusion Coding Standards for CFC component and application patterns
- [Coldfusion Cfm](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/coldfusion-cfm.instructions.md): ColdFusion cfm files and application patterns
- [Containerization Docker Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/containerization-docker-best-practices.instructions.md): Comprehensive best practices for creating optimized, secure, and efficient Docker images and managing containers. Covers multi-stage builds, image layer optimization, security scanning, and runtime best practices.
- [Context Engineering](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/context-engineering.instructions.md): Guidelines for structuring code and projects to maximize GitHub Copilot effectiveness through better context management
- [Context7](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/context7.instructions.md): Use Context7 for authoritative external docs and API references when local context is insufficient
- [Convert Cassandra To Spring Data Cosmos](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/convert-cassandra-to-spring-data-cosmos.instructions.md): Step-by-step guide for converting Spring Boot Cassandra applications to use Azure Cosmos DB with Spring Data Cosmos
- [Convert Jpa To Spring Data Cosmos](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/convert-jpa-to-spring-data-cosmos.instructions.md): Step-by-step guide for converting Spring Boot JPA applications to use Azure Cosmos DB with Spring Data Cosmos
- [Copilot Thought Logging](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/copilot-thought-logging.instructions.md): See process Copilot is following where you can edit this to reshape the interaction or save when follow up may be needed
- [Cpp Language Service Tools](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/cpp-language-service-tools.instructions.md): You are an expert at using C++ language service tools (GetSymbolReferences_CppTools, GetSymbolInfo_CppTools, GetSymbolCallHierarchy_CppTools). Instructions for calling C++ Tools for Copilot. When working with C++ code, you have access to powerful language service tools that provide accurate, IntelliSense-powered analysis. **Always prefer these tools over manual code inspection, text search, or guessing.**
- [Csharp](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/csharp.instructions.md): Guidelines for building C# applications
- [Csharp Ja](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/csharp-ja.instructions.md): C# アプリケーション構築指針 by @tsubakimoto
- [Csharp Ko](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/csharp-ko.instructions.md): C# 애플리케이션 개발을 위한 코드 작성 규칙 by @jgkim999
- [Csharp Mcp Server](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/csharp-mcp-server.instructions.md): Instructions for building Model Context Protocol (MCP) servers using the C# SDK
- [Csharp Razorpages](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/csharp-razorpages.instructions.md): Razor Pages component and application patterns
- [Dart N Flutter](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dart-n-flutter.instructions.md): Instructions for writing Dart and Flutter code following the official recommendations.
- [Dataverse Python](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python.instructions.md): No description available
- [Dataverse Python Advanced Features](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-advanced-features.instructions.md): No description available
- [Dataverse Python Agentic Workflows](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-agentic-workflows.instructions.md): No description available
- [Dataverse Python Api Reference](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-api-reference.instructions.md): No description available
- [Dataverse Python Authentication Security](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-authentication-security.instructions.md): No description available
- [Dataverse Python Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-best-practices.instructions.md): No description available
- [Dataverse Python Error Handling](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-error-handling.instructions.md): No description available
- [Dataverse Python File Operations](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-file-operations.instructions.md): No description available
- [Dataverse Python Modules](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-modules.instructions.md): No description available
- [Dataverse Python Pandas Integration](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-pandas-integration.instructions.md): No description available
- [Dataverse Python Performance Optimization](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-performance-optimization.instructions.md): No description available
- [Dataverse Python Real World Usecases](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-real-world-usecases.instructions.md): No description available
- [Dataverse Python Sdk](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-sdk.instructions.md): No description available
- [Dataverse Python Testing Debugging](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dataverse-python-testing-debugging.instructions.md): No description available
- [Debian Linux](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/debian-linux.instructions.md): Guidance for Debian-based Linux administration, apt workflows, and Debian policy conventions.
- [Declarative Agents Microsoft365](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/declarative-agents-microsoft365.instructions.md): Comprehensive development guidelines for Microsoft 365 Copilot declarative agents with schema v1.5, TypeSpec integration, and Microsoft 365 Agents Toolkit workflows
- [Devbox Image Definition](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/devbox-image-definition.instructions.md): Authoring recommendations for creating YAML based image definition files for use with Microsoft Dev Box Team Customizations
- [Devops Core Principles](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/devops-core-principles.instructions.md): Foundational instructions covering core DevOps principles, culture (CALMS), and key metrics (DORA) to guide GitHub Copilot in understanding and promoting effective software delivery.
- [Dotnet Architecture Good Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dotnet-architecture-good-practices.instructions.md): DDD and .NET architecture guidelines
- [Dotnet Framework](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dotnet-framework.instructions.md): Guidance for working with .NET Framework projects. Includes project structure, C# language version, NuGet management, and best practices.
- [Dotnet Maui](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dotnet-maui.instructions.md): .NET MAUI component and application patterns
- [Dotnet Maui 9 To Dotnet Maui 10 Upgrade](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dotnet-maui-9-to-dotnet-maui-10-upgrade.instructions.md): Instructions for upgrading .NET MAUI applications from version 9 to version 10, including breaking changes, deprecated APIs, and migration strategies for ListView to CollectionView.
- [Dotnet Wpf](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/dotnet-wpf.instructions.md): .NET WPF component and application patterns
- [Draw Io](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/draw-io.instructions.md): Use when creating, editing, or reviewing draw.io diagrams and mxGraph XML in .drawio, .drawio.svg, or .drawio.png files.
- [Exclude Prompt Data](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/exclude-prompt-data.instructions.md): Write only the resulting content into files. Never echo prompt instructions, rationale, or meta-commentary into documentation, comments, or code being produced from a prompt.
- [Fedora Linux](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/fedora-linux.instructions.md): Guidance for Fedora (Red Hat family) systems, dnf workflows, SELinux, and modern systemd practices.
- [Genaiscript](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/genaiscript.instructions.md): AI-powered script generation guidelines
- [Generate Modern Terraform Code For Azure](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/generate-modern-terraform-code-for-azure.instructions.md): Guidelines for generating modern Terraform code for Azure
- [Gilfoyle Code Review](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/gilfoyle-code-review.instructions.md): Gilfoyle-style code review instructions that channel the sardonic technical supremacy of Silicon Valley's most arrogant systems architect.
- [Github Actions Ci Cd Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/github-actions-ci-cd-best-practices.instructions.md): Comprehensive guide for building robust, secure, and efficient CI/CD pipelines using GitHub Actions. Covers workflow structure, jobs, steps, environment variables, secret management, caching, matrix strategies, testing, and deployment strategies.
- [GitHub Copilot SDK C# Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/copilot-sdk-csharp.instructions.md): This file provides guidance on building C# applications using GitHub Copilot SDK.
- [GitHub Copilot SDK Go Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/copilot-sdk-go.instructions.md): This file provides guidance on building Go applications using GitHub Copilot SDK.
- [GitHub Copilot SDK Java Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/copilot-sdk-java.instructions.md): This file provides guidance on building Java applications using GitHub Copilot SDK for Java.
- [GitHub Copilot SDK Node.js Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/copilot-sdk-nodejs.instructions.md): This file provides guidance on building Node.js/TypeScript applications using GitHub Copilot SDK.
- [GitHub Copilot SDK Python Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/copilot-sdk-python.instructions.md): This file provides guidance on building Python applications using GitHub Copilot SDK.
- [Go](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/go.instructions.md): Instructions for writing Go code following idiomatic Go practices and community standards
- [Go Mcp Server](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/go-mcp-server.instructions.md): Best practices and patterns for building Model Context Protocol (MCP) servers in Go using the official github.com/modelcontextprotocol/go-sdk package.
- [Hooks](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/hooks.instructions.md): Portable guidance for authoring safe, fast, and clear hooks and reusable hook examples
- [Html Css Style Color Guide](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/html-css-style-color-guide.instructions.md): Color usage guidelines and styling rules for HTML elements to ensure accessible, professional designs.
- [Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/instructions.instructions.md): Guidelines for creating high-quality custom instruction files for GitHub Copilot
- [Java 11 To Java 17 Upgrade](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/java-11-to-java-17-upgrade.instructions.md): Comprehensive best practices for adopting new Java 17 features since the release of Java 11.
- [Java 17 To Java 21 Upgrade](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/java-17-to-java-21-upgrade.instructions.md): Comprehensive best practices for adopting new Java 21 features since the release of Java 17.
- [Java 21 To Java 25 Upgrade](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/java-21-to-java-25-upgrade.instructions.md): Comprehensive best practices for adopting new Java 25 features since the release of Java 21.
- [Java Junit5 Assertions](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/java-junit5-assertions.instructions.md): Standardizes JUnit 5 (Jupiter) assertions with best practices for performance, readability, and modern features (5.8+). Covers Supplier messages, assertAll, assertThrowsExactly, and performance-critical timeouts.
- [Java Mcp Server](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/java-mcp-server.instructions.md): Best practices and patterns for building Model Context Protocol (MCP) servers in Java using the official MCP Java SDK with reactive streams and Spring integration.
- [Joyride User Project](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/joyride-user-project.instructions.md): Expert assistance for Joyride User Script projects - REPL-driven ClojureScript and user space automation of VS Code
- [Joyride Workspace Automation](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/joyride-workspace-automation.instructions.md): Expert assistance for Joyride Workspace automation - REPL-driven and user space ClojureScript automation within specific VS Code workspaces
- [Kotlin Mcp Server](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/kotlin-mcp-server.instructions.md): Best practices and patterns for building Model Context Protocol (MCP) servers in Kotlin using the official io.modelcontextprotocol:kotlin-sdk library.
- [Kubernetes Deployment Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/kubernetes-deployment-best-practices.instructions.md): Comprehensive best practices for deploying and managing applications on Kubernetes. Covers Pods, Deployments, Services, Ingress, ConfigMaps, Secrets, health checks, resource limits, scaling, and security contexts.
- [Kubernetes Manifests](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/kubernetes-manifests.instructions.md): Best practices for Kubernetes YAML manifests including labeling conventions, security contexts, pod security, resource management, probes, and validation commands
- [Langchain Python](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/langchain-python.instructions.md): Instructions for using LangChain with Python
- [Localization](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/localization.instructions.md): Guidelines for localizing markdown documents
- [Lwc](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/lwc.instructions.md): Guidelines and best practices for developing Lightning Web Components (LWC) on Salesforce Platform.
- [Makefile](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/makefile.instructions.md): Best practices for authoring GNU Make Makefiles
- [Markdown](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/markdown.instructions.md): Markdown formatting aligned to the CommonMark specification (0.31.2)
- [Markdown Accessibility](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/markdown-accessibility.instructions.md): Markdown accessibility guidelines based on GitHub's 5 best practices for inclusive documentation
- [Markdown Content Creation](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/markdown-content-creation.instructions.md): Markdown guidelines and content creation standards for blog posts
- [Markdown Gfm](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/markdown-gfm.instructions.md): Markdown formatting for GitHub-flavored markdown (GFM) files
- [Mcp M365 Copilot](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/mcp-m365-copilot.instructions.md): Best practices for building MCP-based declarative agents and API plugins for Microsoft 365 Copilot with Model Context Protocol integration
- [Memory Bank](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/memory-bank.instructions.md): No description available
- [Mongo Dba](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/mongo-dba.instructions.md): Instructions for customizing GitHub Copilot behavior for MONGODB DBA chat mode.
- [Moodle](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/moodle.instructions.md): Instructions for GitHub Copilot to generate code in a Moodle project context.
- [Ms Sql Dba](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/ms-sql-dba.instructions.md): Instructions for customizing GitHub Copilot behavior for MS-SQL DBA chat mode.
- [Mvvm Toolkit](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/mvvm-toolkit.instructions.md): CommunityToolkit.Mvvm (MVVM Toolkit) coding conventions for ViewModels, commands, messaging, validation, and DI across WPF, WinUI 3, .NET MAUI, Uno Platform, and Avalonia.
- [Nestjs](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/nestjs.instructions.md): NestJS development standards and best practices for building scalable Node.js server-side applications
- [Nextjs](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/nextjs.instructions.md): Best practices for building Next.js (App Router) apps with modern caching, tooling, and server/client boundaries (aligned with Next.js 16.1.1).
- [Nextjs Tailwind](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/nextjs-tailwind.instructions.md): Next.js + Tailwind development standards and instructions
- [No Heredoc File Operations](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/no-heredoc.instructions.md): Prevents terminal heredoc file corruption in VS Code Copilot by enforcing use of file editing tools instead of shell redirections
- [Nodejs Javascript Vitest](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/nodejs-javascript-vitest.instructions.md): Guidelines for writing Node.js and JavaScript code with Vitest testing
- [Object Calisthenics](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/object-calisthenics.instructions.md): Enforces Object Calisthenics principles for business domain code to ensure clean, maintainable, and robust code
- [Oop Design Patterns](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/oop-design-patterns.instructions.md): Best practices for applying Object-Oriented Programming (OOP) design patterns, including Gang of Four (GoF) patterns and SOLID principles, to ensure clean, maintainable, and scalable code.
- [Oqtane](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/oqtane.instructions.md): Oqtane Module patterns
- [Pcf Alm](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-alm.instructions.md): Application lifecycle management (ALM) for PCF code components
- [Pcf Api Reference](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-api-reference.instructions.md): Complete PCF API reference with all interfaces and their availability in model-driven and canvas apps
- [Pcf Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-best-practices.instructions.md): Best practices and guidance for developing PCF code components
- [Pcf Canvas Apps](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-canvas-apps.instructions.md): Code components for canvas apps implementation, security, and configuration
- [Pcf Code Components](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-code-components.instructions.md): Understanding code components structure and implementation
- [Pcf Community Resources](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-community-resources.instructions.md): PCF community resources including gallery, videos, blogs, and development tools
- [Pcf Dependent Libraries](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-dependent-libraries.instructions.md): Using dependent libraries in PCF components
- [Pcf Events](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-events.instructions.md): Define and handle custom events in PCF components
- [Pcf Fluent Modern Theming](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-fluent-modern-theming.instructions.md): Style components with modern theming using Fluent UI
- [Pcf Limitations](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-limitations.instructions.md): Limitations and restrictions of Power Apps Component Framework
- [Pcf Manifest Schema](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-manifest-schema.instructions.md): Complete manifest schema reference for PCF components with all available XML elements
- [Pcf Model Driven Apps](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-model-driven-apps.instructions.md): Code components for model-driven apps implementation and configuration
- [Pcf Overview](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-overview.instructions.md): Power Apps Component Framework overview and fundamentals
- [Pcf Power Pages](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-power-pages.instructions.md): Using code components in Power Pages sites
- [Pcf React Platform Libraries](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-react-platform-libraries.instructions.md): React controls and platform libraries for PCF components
- [Pcf Sample Components](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-sample-components.instructions.md): How to use and run PCF sample components from the PowerApps-Samples repository
- [Pcf Tooling](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/pcf-tooling.instructions.md): Get Microsoft Power Platform CLI tooling for Power Apps Component Framework
- [Performance Optimization](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/performance-optimization.instructions.md): Comprehensive web performance standards based on Core Web Vitals (LCP, INP, CLS), with 50+ anti-patterns, detection regex, framework-specific fixes for modern web frameworks, and modern API guidance.
- [Php Mcp Server](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/php-mcp-server.instructions.md): Best practices for building Model Context Protocol servers in PHP using the official PHP SDK with attribute-based discovery and multiple transport options
- [Php Symfony](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/php-symfony.instructions.md): Symfony development standards aligned with official Symfony Best Practices
- [Playwright Dotnet](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/playwright-dotnet.instructions.md): Playwright .NET test generation instructions
- [Playwright Python](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/playwright-python.instructions.md): Playwright Python AI test generation instructions based on official documentation.
- [Playwright Typescript](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/playwright-typescript.instructions.md): Playwright test generation instructions
- [Power Apps Canvas Yaml](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/power-apps-canvas-yaml.instructions.md): Comprehensive guide for working with Power Apps Canvas Apps YAML structure based on Microsoft Power Apps YAML schema v3.0. Covers Power Fx formulas, control structures, data types, and source control best practices.
- [Power Apps Code Apps](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/power-apps-code-apps.instructions.md): Power Apps Code Apps development standards and best practices for TypeScript, React, and Power Platform integration
- [Power Bi Custom Visuals Development](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/power-bi-custom-visuals-development.instructions.md): Comprehensive Power BI custom visuals development guide covering React, D3.js integration, TypeScript patterns, testing frameworks, and advanced visualization techniques.
- [Power Bi Data Modeling Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/power-bi-data-modeling-best-practices.instructions.md): Comprehensive Power BI data modeling best practices based on Microsoft guidance for creating efficient, scalable, and maintainable semantic models using star schema principles.
- [Power Bi Dax Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/power-bi-dax-best-practices.instructions.md): Comprehensive Power BI DAX best practices and patterns based on Microsoft guidance for creating efficient, maintainable, and performant DAX formulas.
- [Power Bi Devops Alm Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/power-bi-devops-alm-best-practices.instructions.md): Comprehensive guide for Power BI DevOps, Application Lifecycle Management (ALM), CI/CD pipelines, deployment automation, and version control best practices.
- [Power Bi Report Design Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/power-bi-report-design-best-practices.instructions.md): Comprehensive Power BI report design and visualization best practices based on Microsoft guidance for creating effective, accessible, and performant reports and dashboards.
- [Power Bi Security Rls Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/power-bi-security-rls-best-practices.instructions.md): Comprehensive Power BI Row-Level Security (RLS) and advanced security patterns implementation guide with dynamic security, best practices, and governance strategies.
- [Power Platform Connector](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/power-platform-connector.instructions.md): Comprehensive development guidelines for Power Platform Custom Connectors using JSON Schema definitions. Covers API definitions (Swagger 2.0), API properties, and settings configuration with Microsoft extensions.
- [Power Platform Mcp Development](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/power-platform-mcp-development.instructions.md): Instructions for developing Power Platform custom connectors with Model Context Protocol (MCP) integration for Microsoft Copilot Studio
- [Powershell](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/powershell.instructions.md): PowerShell cmdlet and scripting best practices based on Microsoft guidelines
- [Powershell Pester 5](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/powershell-pester-5.instructions.md): PowerShell Pester testing best practices based on Pester v5 conventions
- [Prompt](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/prompt.instructions.md): Guidelines for creating high-quality prompt files for GitHub Copilot
- [Python Mcp Server](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/python-mcp-server.instructions.md): Instructions for building Model Context Protocol (MCP) servers using the Python SDK
- [Qa Engineering Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/qa-engineering-best-practices.instructions.md): Comprehensive QA engineering best practices covering test strategy, test pyramid, naming conventions, assertion patterns, bug reporting, and automation guidelines for modern software projects.
- [Quarkus](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/quarkus.instructions.md): Quarkus development standards and instructions
- [Quarkus Mcp Server Sse](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/quarkus-mcp-server-sse.instructions.md): Quarkus and MCP Server with HTTP SSE transport development standards and instructions
- [R](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/r.instructions.md): R language and document formats (R, Rmd, Quarto): coding standards and Copilot guidance for idiomatic, safe, and consistent code generation.
- [Ruby Mcp Server](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/ruby-mcp-server.instructions.md): Best practices and patterns for building Model Context Protocol (MCP) servers in Ruby using the official MCP Ruby SDK gem.
- [Ruby On Rails](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/ruby-on-rails.instructions.md): Ruby on Rails coding conventions and guidelines
- [Rust](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/rust.instructions.md): Rust programming language coding conventions and best practices
- [Rust Mcp Server](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/rust-mcp-server.instructions.md): Best practices for building Model Context Protocol servers in Rust using the official rmcp SDK with async/await patterns
- [Scala Spark](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/scala-spark.instructions.md): Best practices for building Apache Spark applications in Scala, covering DataFrames, Datasets, SparkSQL, performance tuning, testing, and production deployment patterns.
- [Scala2](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/scala2.instructions.md): Scala 2.12/2.13 programming language coding conventions and best practices following Databricks style guide for functional programming, type safety, and production code quality.
- [Security And Owasp](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/security-and-owasp.instructions.md): Comprehensive secure coding standards based on OWASP Top 10 2025, with 55+ anti-patterns, detection regex, framework-specific fixes for modern web and backend frameworks, and AI/LLM security guidance.
- [Self Explanatory Code Commenting](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/self-explanatory-code-commenting.instructions.md): Guidelines for GitHub Copilot to write comments to achieve self-explanatory code with less comments. Examples are in JavaScript but it should work on any language that has comments.
- [Shell](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/shell.instructions.md): Shell scripting best practices and conventions for bash, sh, zsh, and other shells
- [Spec Driven Workflow V1](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/spec-driven-workflow-v1.instructions.md): Specification-Driven Workflow v1 provides a structured approach to software development, ensuring that requirements are clearly defined, designs are meticulously planned, and implementations are thoroughly documented and validated.
- [Springboot](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/springboot.instructions.md): Guidelines for building Spring Boot base applications
- [Springboot 4 Migration](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/springboot-4-migration.instructions.md): Comprehensive guide for migrating Spring Boot applications from 3.x to 4.0, focusing on Gradle Kotlin DSL and version catalogs
- [Sql Sp Generation](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/sql-sp-generation.instructions.md): Guidelines for generating SQL statements and stored procedures
- [Svelte](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/svelte.instructions.md): Svelte 5 and SvelteKit development standards and best practices for component-based user interfaces and full-stack applications
- [Swift Mcp Server](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/swift-mcp-server.instructions.md): Best practices and patterns for building Model Context Protocol (MCP) servers in Swift using the official MCP Swift SDK package.
- [Tailwind V4 Vite](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/tailwind-v4-vite.instructions.md): Tailwind CSS v4+ installation and configuration for Vite projects using the official @tailwindcss/vite plugin
- [Taming Copilot](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/taming-copilot.instructions.md): Prevent Copilot from wreaking havoc across your codebase, keeping it under control.
- [Tanstack Start Shadcn Tailwind](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/tanstack-start-shadcn-tailwind.instructions.md): Guidelines for building TanStack Start applications
- [Task Implementation](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/task-implementation.instructions.md): Instructions for implementing task plans with progressive tracking and change record - Brought to you by microsoft/edge-ai
- [Tasksync](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/tasksync.instructions.md): TaskSync V5 - Allows you to give the agent new instructions or feedback after completing a task using terminal while agent is running.
- [Terraform](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/terraform.instructions.md): Terraform Conventions and Guidelines
- [Terraform Azure](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/terraform-azure.instructions.md): Create or modify solutions built using Terraform on Azure.
- [Terraform Sap Btp](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/terraform-sap-btp.instructions.md): Terraform conventions and guidelines for SAP Business Technology Platform (SAP BTP).
- [Typescript Mcp Server](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/typescript-mcp-server.instructions.md): Instructions for building Model Context Protocol (MCP) servers using the TypeScript SDK
- [Typespec M365 Copilot](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/typespec-m365-copilot.instructions.md): Guidelines and best practices for building TypeSpec-based declarative agents and API plugins for Microsoft 365 Copilot
- [Update Code From Shorthand](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/update-code-from-shorthand.instructions.md): Shorthand code will be in the file provided from the prompt or raw data in the prompt, and will be used to update the code file when the prompt has the text `UPDATE CODE FROM SHORTHAND`.
- [Update Docs On Code Change](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/update-docs-on-code-change.instructions.md): Automatically update README.md and documentation files when application code changes require documentation updates
- [Use Cliche Data In Docs](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/use-cliche-data-in-docs.instructions.md): Ensure documentation and examples use only generic, cliche placeholder data — never real or sensitive data sourced from local scripts, configuration, task files, or prompt context.
- [Vsixtoolkit](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/vsixtoolkit.instructions.md): Guidelines for Visual Studio extension (VSIX) development using Community.VisualStudio.Toolkit
- [Vue](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/vue.instructions.md): Comprehensive Vue 3 development standards and best practices: Composition API, `<script setup>`, the full reactivity system, compiler macros (defineModel/defineSlots/defineOptions), built-in components (Teleport/Suspense/Transition/KeepAlive), provide/inject, composables, Pinia, Vue Router, TypeScript, testing, performance, SSR, and security.
- [Winui3](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/winui3.instructions.md): WinUI 3 and Windows App SDK coding guidelines. Prevents common UWP API misuse, enforces correct XAML namespaces, threading, windowing, and MVVM patterns for desktop Windows apps.
- [Wordpress](https://raw.githubusercontent.com/github/awesome-copilot/main/instructions/wordpress.instructions.md): Coding, security, and testing rules for WordPress plugins and themes

## Skills

- [Acquire Codebase Knowledge](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/acquire-codebase-knowledge/SKILL.md): Use this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this codebase", "document this architecture", "onboard me to this repo", or "create codebase docs". Do not trigger for routine feature implementation, bug fixes, or narrow code edits unless the user asks for repository-level discovery.
- [Acreadiness Assess](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/acreadiness-assess/SKILL.md): Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc readiness` and hands off rendering to the @ai-readiness-reporter custom agent. Supports policies (--policy) for org-specific scoring. Use when asked to assess, audit, or score the AI readiness of a repo.
- [Acreadiness Generate Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/acreadiness-generate-instructions/SKILL.md): Generate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommended for Copilot in VS Code) plus optional per-area .instructions.md files with applyTo globs for monorepos. Use after running /acreadiness-assess to close gaps in the AI Tooling pillar.
- [Acreadiness Policy](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/acreadiness-policy/SKILL.md): Help the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impact/level, setting pass-rate thresholds, or chaining org baselines with team overrides. Use when the user asks about strict mode, AI-only scoring, custom weights, CI gating, or wants org-wide standardisation.
- [Add Educational Comments](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/add-educational-comments/SKILL.md): Add educational comments to the file specified, or prompt asking for file to comment if one is not provided.
- [Adobe Illustrator Scripting](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/adobe-illustrator-scripting/SKILL.md): Write, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts that manipulate documents, layers, paths, text frames, colors, symbols, artboards, or any Illustrator DOM objects. Covers the complete JavaScript object model, coordinate system, measurement units, export workflows, and scripting best practices.
- [Agent Governance](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/agent-governance/SKILL.md): Patterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents that call external tools (APIs, databases, file systems) - Implementing policy-based access controls for agent tool usage - Adding semantic intent classification to detect dangerous prompts - Creating trust scoring systems for multi-agent workflows - Building audit trails for agent actions and decisions - Enforcing rate limits, content filters, or tool restrictions on agents - Working with any agent framework (PydanticAI, CrewAI, OpenAI Agents, LangChain, AutoGen)
- [Agent Owasp Compliance](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/agent-owasp-compliance/SKILL.md): Check any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent system's security posture before production deployment - Running a compliance check against OWASP ASI 2026 standards - Mapping existing security controls to the 10 agentic risks - Generating a compliance report for security review or audit - Comparing agent framework security features against the standard - Any request like "is my agent OWASP compliant?", "check ASI compliance", or "agentic security audit"
- [Agent Supply Chain](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/agent-supply-chain/SKILL.md): Verify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests for agent plugins or tool packages - Verifying that installed plugins match their published manifests - Detecting tampered, modified, or untracked files in agent tool directories - Auditing dependency pinning and version policies for agent components - Building provenance chains for agent plugin promotion (dev → staging → production) - Any request like "verify plugin integrity", "generate manifest", "check supply chain", or "sign this plugin"
- [Agentic Eval](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/agentic-eval/SKILL.md): Patterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loops - Building evaluator-optimizer pipelines for quality-critical generation - Creating test-driven code refinement workflows - Designing rubric-based or LLM-as-judge evaluation systems - Adding iterative improvement to agent outputs (code, reports, analysis) - Measuring and improving agent response quality
- [Ai Prompt Engineering Safety Review](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ai-prompt-engineering-safety-review/SKILL.md): Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations with extensive frameworks, testing methodologies, and educational content.
- [Ai Ready](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ai-ready/SKILL.md): Make any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. Mines your PR review patterns and creates files customized to your stack. USE THIS SKILL when the user asks to "make this repo ai-ready", "set up AI config", or "prepare this repo for AI contributions".
- [Ai Team Orchestration](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ai-team-orchestration/SKILL.md): Bootstrap and run a multi-agent AI development team. Use when: starting a new software project with AI agents, setting up parallel dev/QA teams, creating sprint plans, writing brainstorm prompts with distinct agent voices, recovering a project workflow, or planning sprints.
- [Appinsights Instrumentation](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/appinsights-instrumentation/SKILL.md): Instrument a webapp to send useful telemetry data to Azure App Insights
- [Apple Appstore Reviewer](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/apple-appstore-reviewer/SKILL.md): Serves as a reviewer of the codebase with instructions on looking for Apple App Store optimizations or rejection reasons.
- [Arch Linux Triage](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arch-linux-triage/SKILL.md): Triage and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices.
- [Architecture Blueprint Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/architecture-blueprint-generator/SKILL.md): Comprehensive project architecture blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks and architectural patterns, generates visual diagrams, documents implementation patterns, and provides extensible blueprints for maintaining architectural consistency and guiding new development.
- [Arduino Azure Iot Edge Integration](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arduino-azure-iot-edge-integration/SKILL.md): Design and implement Arduino integration with Azure IoT Hub and IoT Edge, including secure provisioning, resilient telemetry, command handling, and production guardrails.
- [Arize Ai Provider Integration](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-ai-provider-integration/SKILL.md): Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM). Use when the user mentions AI integration, LLM provider credentials, create integration, list integrations, update credentials, delete integration, or connecting an LLM provider to Arize.
- [Arize Annotation](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-annotation/SKILL.md): Creates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on Arize. Applies human annotations to project spans via the Python SDK. Use when the user mentions annotation config, annotation queue, label schema, human feedback, bulk annotate spans, update_annotations, labeling queue, annotate record, or human review.
- [Arize Dataset](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-dataset/SKILL.md): Creates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset creation using the ax CLI. Use when the user needs test data, evaluation examples, or mentions create dataset, list datasets, export dataset, append examples, dataset version, golden dataset, or test set.
- [Arize Evaluator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-evaluator/SKILL.md): Handles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, managing tasks, trigger-run operations, column mapping, and continuous monitoring. Use when the user mentions create evaluator, LLM judge, hallucination, faithfulness, correctness, relevance, run eval, score spans, score experiment, trigger-run, column mapping, continuous monitoring, or improve evaluator prompt.
- [Arize Experiment](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-experiment/SKILL.md): Creates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, comparing results, and evaluation workflows using the ax CLI. Use when the user mentions create experiment, run experiment, compare models, model performance, evaluate AI, experiment results, benchmark, A/B test models, or measure accuracy.
- [Arize Instrumentation](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-instrumentation/SKILL.md): Adds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.
- [Arize Link](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-link/SKILL.md): Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.
- [Arize Prompt Optimization](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-prompt-optimization/SKILL.md): Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.
- [Arize Trace](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-trace/SKILL.md): Downloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.
- [Aspire](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/aspire/SKILL.md): Aspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers, GitHub Codespaces, templates, dashboard, and deployment. Use when the user asks to create, run, debug, configure, deploy, or troubleshoot an Aspire distributed application.
- [Aspnet Minimal Api Openapi](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/aspnet-minimal-api-openapi/SKILL.md): Create ASP.NET Minimal API endpoints with proper OpenAPI documentation
- [Audit Integrity](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/audit-integrity/SKILL.md): Shared audit integrity framework for all AppSec agents — enforces output quality, intellectual honesty, and continuous improvement through anti-rationalization guards, self-critique loops, retry protocols, non-negotiable behaviors, self-reflection quality gates (1-10 scoring, ≥8 threshold), and a self-learning system with lesson/memory governance for security analysis agents.
- [Automate This](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/automate-this/SKILL.md): Analyze a screen recording of a manual process and produce targeted, working automation scripts. Extracts frames and audio narration from video files, reconstructs the step-by-step workflow, and proposes automation at multiple complexity levels using tools already installed on the user machine.
- [Autoresearch](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/autoresearch/SKILL.md): Autonomous iterative experimentation loop for any programming task. Guides the user through defining goals, measurable metrics, and scope constraints, then runs an autonomous loop of code changes, testing, measuring, and keeping/discarding results. Inspired by Karpathy's autoresearch. USE FOR: autonomous improvement, iterative optimization, experiment loop, auto research, performance tuning, automated experimentation, hill climbing, try things automatically, optimize code, run experiments, autonomous coding loop. DO NOT USE FOR: one-shot tasks, simple bug fixes, code review, or tasks without a measurable metric.
- [Aws Cdk Python Setup](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/aws-cdk-python-setup/SKILL.md): Setup and initialization guide for developing AWS CDK (Cloud Development Kit) applications in Python. This skill enables users to configure environment prerequisites, create new CDK projects, manage dependencies, and deploy to AWS.
- [Aws Cost Optimize](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/aws-cost-optimize/SKILL.md): Analyze AWS resources used in the app (IaC files and/or resources in a target account/region) and optimize costs - creating GitHub issues for identified optimizations.
- [Aws Resource Health Diagnose](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/aws-resource-health-diagnose/SKILL.md): Analyze AWS resource health, diagnose issues from CloudWatch logs and metrics, and create a remediation plan for identified problems.
- [Aws Resource Query](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/aws-resource-query/SKILL.md): Query AWS resources using natural language. Covers EC2, S3, RDS, Lambda, ECS, EKS, Secrets Manager, IAM, VPC, networking, messaging, and more. Strictly read-only — no writes, deletes, or mutations.
- [Aws Well Architected Review](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/aws-well-architected-review/SKILL.md): Perform an AWS Well-Architected Framework review of the current workload IaC and architecture, generating findings and GitHub issues for improvements.
- [Az Cost Optimize](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/az-cost-optimize/SKILL.md): Analyze Azure resources used in the app (IaC files and/or resources in a target rg) and optimize costs - creating GitHub issues for identified optimizations.
- [Azure Architecture Autopilot](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-architecture-autopilot/SKILL.md): Design Azure infrastructure using natural language, or analyze existing Azure resources to auto-generate architecture diagrams, refine them through conversation, and deploy with Bicep. When to use this skill: - "Create X on Azure", "Set up a RAG architecture" (new design) - "Analyze my current Azure infrastructure", "Draw a diagram for rg-xxx" (existing analysis) - "Foundry is slow", "I want to reduce costs", "Strengthen security" (natural language modification) - Azure resource deployment, Bicep template generation, IaC code generation - Microsoft Foundry, AI Search, OpenAI, Fabric, ADLS Gen2, Databricks, and all Azure services
- [Azure Deployment Preflight](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-deployment-preflight/SKILL.md): Performs comprehensive preflight validation of Bicep deployments to Azure, including template syntax validation, what-if analysis, and permission checks. Use this skill before any deployment to Azure to preview changes, identify potential issues, and ensure the deployment will succeed. Activate when users mention deploying to Azure, validating Bicep files, checking deployment permissions, previewing infrastructure changes, running what-if, or preparing for azd provision.
- [Azure Devops Cli](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-devops-cli/SKILL.md): Manage Azure DevOps resources via CLI including projects, repos, pipelines, builds, pull requests, work items, artifacts, and service endpoints. Use when working with Azure DevOps, az commands, devops automation, CI/CD, or when user mentions Azure DevOps CLI.
- [Azure Pricing](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-pricing/SKILL.md): Fetches real-time Azure retail pricing using the Azure Retail Prices API (prices.azure.com) and estimates Copilot Studio agent credit consumption. Use when the user asks about the cost of any Azure service, wants to compare SKU prices, needs pricing data for a cost estimate, mentions Azure pricing, Azure costs, Azure billing, or asks about Copilot Studio pricing, Copilot Credits, or agent usage estimation. Covers compute, storage, networking, databases, AI, Copilot Studio, and all other Azure service families.
- [Azure Resource Health Diagnose](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-resource-health-diagnose/SKILL.md): Analyze Azure resource health, diagnose issues from logs and telemetry, and create a remediation plan for identified problems.
- [Azure Resource Visualizer](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-resource-visualizer/SKILL.md): Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. Use this skill when the user asks for a diagram of their Azure resources or help in understanding how the resources relate to each other.
- [Azure Role Selector](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-role-selector/SKILL.md): When user is asking for guidance for which role to assign to an identity given desired permissions, this agent helps them understand the role that will meet the requirements with least privilege access and how to apply that role.
- [Azure Smart City Iot Solution Builder](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-smart-city-iot-solution-builder/SKILL.md): Design and plan end-to-end Azure IoT and Smart City solutions: requirements, architecture, security, operations, cost, and a phased delivery plan with concrete implementation artifacts.
- [Azure Static Web Apps](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/azure-static-web-apps/SKILL.md): Helps create, configure, and deploy Azure Static Web Apps using the SWA CLI. Use when deploying static sites to Azure, setting up SWA local development, configuring staticwebapp.config.json, adding Azure Functions APIs to SWA, or setting up GitHub Actions CI/CD for Static Web Apps.
- [Batch Files](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/batch-files/SKILL.md): Expert-level Windows batch file (.bat/.cmd) skill for writing, debugging, and maintaining CMD scripts. Use when asked to "create a batch file", "write a .bat script", "automate a Windows task", "CMD scripting", "batch automation", "scheduled task script", "Windows shell script", or when working with .bat/.cmd files in the workspace. Covers cmd.exe syntax, environment variables, control flow, string processing, error handling, and integration with system tools.
- [Bigquery Pipeline Audit](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/bigquery-pipeline-audit/SKILL.md): Audits Python + BigQuery pipelines for cost safety, idempotency, and production readiness. Returns a structured report with exact patch locations.
- [Boost Prompt](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/boost-prompt/SKILL.md): Interactive prompt refinement workflow: interrogates scope, deliverables, constraints; copies final markdown to clipboard; never writes code. Requires the Joyride extension.
- [Brag Sheet](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/brag-sheet/SKILL.md): Turn vague "what did I do?" into evidence-backed impact statements for performance reviews, self-reviews, promotion packets, and weekly updates. Uniquely mines Copilot CLI session logs to reconstruct forgotten work, plus git commits and GitHub PRs. Enforces a 3-part impact contract (action → result → evidence). Works standalone with zero dependencies. Trigger for: "brag", "log work", "what did I do", "backfill my work history", "performance review", "self-review", "self assessment", "write impact statement", "review prep", "promo packet", "promotion case", "weekly update", "status report", "accomplishments", "what did I ship", "I forgot to log my work", "summarize my work", "track my wins", "what should I highlight", "end of half", "career growth", "work journal", or any request to document, summarize, or organize work accomplishments.
- [Breakdown Epic Arch](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/breakdown-epic-arch/SKILL.md): Prompt for creating the high-level technical architecture for an Epic, based on a Product Requirements Document.
- [Breakdown Epic Pm](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/breakdown-epic-pm/SKILL.md): Prompt for creating an Epic Product Requirements Document (PRD) for a new epic. This PRD will be used as input for generating a technical architecture specification.
- [Breakdown Feature Implementation](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/breakdown-feature-implementation/SKILL.md): Prompt for creating detailed feature implementation plans, following Epoch monorepo structure.
- [Breakdown Feature Prd](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/breakdown-feature-prd/SKILL.md): Prompt for creating Product Requirements Documents (PRDs) for new features, based on an Epic.
- [Breakdown Plan](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/breakdown-plan/SKILL.md): Issue Planning and Automation prompt that generates comprehensive project plans with Epic > Feature > Story/Enabler > Test hierarchy, dependencies, priorities, and automated tracking.
- [Breakdown Test](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/breakdown-test/SKILL.md): Test Planning and Quality Assurance prompt that generates comprehensive test strategies, task breakdowns, and quality validation plans for GitHub projects.
- [Centos Linux Triage](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/centos-linux-triage/SKILL.md): Triage and resolve CentOS issues using RHEL-compatible tooling, SELinux-aware practices, and firewalld.
- [Chrome Devtools](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/chrome-devtools/SKILL.md): Expert-level browser automation, debugging, and performance analysis using Chrome DevTools MCP. Use for interacting with web pages, capturing screenshots, analyzing network traffic, and profiling performance.
- [Cli Mastery](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/cli-mastery/SKILL.md): Interactive training for the GitHub Copilot CLI. Guided lessons, quizzes, scenario challenges, and a full reference covering slash commands, shortcuts, modes, agents, skills, MCP, and configuration. Say "cliexpert" to start.
- [Cloud Design Patterns](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/cloud-design-patterns/SKILL.md): Cloud design patterns for distributed systems architecture covering 42 industry-standard patterns across reliability, performance, messaging, security, and deployment categories. Use when designing, reviewing, or implementing distributed system architectures.
- [Code Exemplars Blueprint Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/code-exemplars-blueprint-generator/SKILL.md): Technology-agnostic prompt generator that creates customizable AI prompts for scanning codebases and identifying high-quality code exemplars. Supports multiple programming languages (.NET, Java, JavaScript, TypeScript, React, Angular, Python) with configurable analysis depth, categorization methods, and documentation formats to establish coding standards and maintain consistency across development teams.
- [Code Tour](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/code-tour/SKILL.md): Use this skill to create CodeTour .tour files — persona-targeted, step-by-step walkthroughs that link to real files and line numbers. Trigger for: "create a tour", "make a code tour", "generate a tour", "onboarding tour", "tour for this PR", "tour for this bug", "RCA tour", "architecture tour", "explain how X works", "vibe check", "PR review tour", "contributor guide", "help someone ramp up", or any request for a structured walkthrough through code. Supports 20 developer personas (new joiner, bug fixer, architect, PR reviewer, vibecoder, security reviewer, and more), all CodeTour step types (file/line, selection, pattern, uri, commands, view), and tour-level fields (ref, isPrimary, nextTour). Works with any repository in any language.
- [Codeql](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/codeql/SKILL.md): Comprehensive guide for setting up and configuring CodeQL code scanning via GitHub Actions workflows and the CodeQL CLI. This skill should be used when users need help with code scanning configuration, CodeQL workflow files, CodeQL CLI commands, SARIF output, security analysis setup, or troubleshooting CodeQL analysis.
- [Comment Code Generate A Tutorial](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/comment-code-generate-a-tutorial/SKILL.md): Transform this Python script into a polished, beginner-friendly project by refactoring the code, adding clear instructional comments, and generating a complete markdown tutorial.
- [Commit Message Storyteller](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/commit-message-storyteller/SKILL.md): Analyzes git diffs or staged changes and generates narrative commit messages that explain WHY a change was made, not just what changed — following Conventional Commits format. Use when asked to "write a commit message", "generate a commit", "describe my changes", "what should I commit this as", "commit this", "summarize my diff", or "help me commit". Works with git diff output, staged files, or plain descriptions of changes.
- [Containerize Aspnet Framework](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/containerize-aspnet-framework/SKILL.md): Containerize an ASP.NET .NET Framework project by creating Dockerfile and .dockerfile files customized for the project.
- [Containerize Aspnetcore](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/containerize-aspnetcore/SKILL.md): Containerize an ASP.NET Core project by creating Dockerfile and .dockerfile files customized for the project.
- [Content Management Systems](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/content-management-systems/SKILL.md): Workflow for building and modifying content management systems across WordPress, Shopify, Wix, Squarespace, Drupal, WooCommerce, Joomla, HubSpot CMS Hub, Webflow, Adobe Experience Manager, and similar platforms. Use when working on CMS themes, plugins, apps, modules, admin panels, media uploads, content models, editors, markdown pipelines, or static export workflows.
- [Context Map](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/context-map/SKILL.md): Generate a map of all files relevant to a task before making changes
- [Conventional Branch](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/conventional-branch/SKILL.md): Create Git branches following the Conventional Branch specification (feature/, bugfix/, hotfix/, release/, chore/). Use when creating a new branch, naming a branch, or checking whether a branch name complies with the spec.
- [Conventional Commit](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/conventional-commit/SKILL.md): Prompt and workflow for generating conventional commit messages using a structured XML format. Guides users to create standardized, descriptive commit messages in line with the Conventional Commits specification, including instructions, examples, and validation.
- [Convert Plaintext To Md](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/convert-plaintext-to-md/SKILL.md): Convert a text-based document to markdown following instructions from prompt, or if a documented option is passed, follow the instructions for that option.
- [Copilot Cli Quickstart](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/copilot-cli-quickstart/SKILL.md): Use this skill when someone wants to learn GitHub Copilot CLI from scratch. Offers interactive step-by-step tutorials with separate Developer and Non-Developer tracks, plus on-demand Q&A. Just say "start tutorial" or ask a question! Note: This skill targets GitHub Copilot CLI specifically and uses CLI-specific tools (ask_user, sql, fetch_copilot_cli_documentation).
- [Copilot Instructions Blueprint Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/copilot-instructions-blueprint-generator/SKILL.md): Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.
- [Copilot Sdk](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/copilot-sdk/SKILL.md): Build agentic applications with GitHub Copilot SDK. Use when embedding AI agents in apps, creating custom tools, implementing streaming responses, managing sessions, connecting to MCP servers, or creating custom agents. Triggers on Copilot SDK, GitHub SDK, agentic app, embed Copilot, programmable agent, MCP server, custom agent.
- [Copilot Spaces](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/copilot-spaces/SKILL.md): Use Copilot Spaces to provide project-specific context to conversations. Use this skill when users mention a "Copilot space", want to load context from a shared knowledge base, discover available spaces, or ask questions grounded in curated project documentation, code, and instructions.
- [Copilot Usage Metrics](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/copilot-usage-metrics/SKILL.md): Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.
- [Cosmosdb Datamodeling](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/cosmosdb-datamodeling/SKILL.md): Step-by-step guide for capturing key application requirements for NoSQL use-case and produce Azure Cosmos DB Data NoSQL Model design using best practices and common patterns, artifacts_produced: "cosmosdb_requirements.md" file and "cosmosdb_data_model.md" file
- [Create Agentsmd](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-agentsmd/SKILL.md): Prompt for generating an AGENTS.md file for a repository
- [Create Architectural Decision Record](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-architectural-decision-record/SKILL.md): Create an Architectural Decision Record (ADR) document for AI-optimized decision documentation.
- [Create Github Action Workflow Specification](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-github-action-workflow-specification/SKILL.md): Create a formal specification for an existing GitHub Actions CI/CD workflow, optimized for AI consumption and workflow maintenance.
- [Create Github Issue Feature From Specification](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-github-issue-feature-from-specification/SKILL.md): Create GitHub Issue for feature request from specification file using feature_request.yml template.
- [Create Github Issues Feature From Implementation Plan](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-github-issues-feature-from-implementation-plan/SKILL.md): Create GitHub Issues from implementation plan phases using feature_request.yml or chore_request.yml templates.
- [Create Github Issues For Unmet Specification Requirements](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-github-issues-for-unmet-specification-requirements/SKILL.md): Create GitHub Issues for unimplemented requirements from specification files using feature_request.yml template.
- [Create Implementation Plan](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-implementation-plan/SKILL.md): Create a new implementation plan file for new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.
- [Create Llms](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-llms/SKILL.md): Create an llms.txt file from scratch based on repository structure following the llms.txt specification at https://llmstxt.org/
- [Create Readme](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-readme/SKILL.md): Create a README.md file for the project
- [Create Specification](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-specification/SKILL.md): Create a new specification file for the solution, optimized for Generative AI consumption.
- [Create Spring Boot Java Project](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-spring-boot-java-project/SKILL.md): Create Spring Boot Java Project Skeleton
- [Create Spring Boot Kotlin Project](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-spring-boot-kotlin-project/SKILL.md): Create Spring Boot Kotlin Project Skeleton
- [Create Technical Spike](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-technical-spike/SKILL.md): Create time-boxed technical spike documents for researching and resolving critical development decisions before implementation.
- [Create Tldr Page](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/create-tldr-page/SKILL.md): Create a tldr page from documentation URLs and command examples, requiring both URL and command name.
- [Creating Oracle To Postgres Master Migration Plan](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/creating-oracle-to-postgres-master-migration-plan/SKILL.md): Discovers all projects in a .NET solution, classifies each for Oracle-to-PostgreSQL migration eligibility, and produces a persistent master migration plan. Use when starting a multi-project Oracle-to-PostgreSQL migration, creating a migration inventory, or assessing which .NET projects contain Oracle dependencies.
- [Creating Oracle To Postgres Migration Bug Report](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/creating-oracle-to-postgres-migration-bug-report/SKILL.md): Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.
- [Creating Oracle To Postgres Migration Integration Tests](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/creating-oracle-to-postgres-migration-integration-tests/SKILL.md): Creates integration test cases for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Generates DB-agnostic xUnit tests with deterministic seed data that validate behavior consistency across both database systems. Use when creating integration tests for a migrated project, generating test coverage for data access layers, or writing Oracle-to-PostgreSQL migration validation tests.
- [Csharp Async](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/csharp-async/SKILL.md): Get best practices for C# async programming
- [Csharp Docs](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/csharp-docs/SKILL.md): Ensure that C# types are documented with XML comments and follow best practices for documentation.
- [Csharp Mstest](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/csharp-mstest/SKILL.md): Get best practices for MSTest 3.x/4.x unit testing, including modern assertion APIs and data-driven tests
- [Csharp Nunit](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/csharp-nunit/SKILL.md): Get best practices for NUnit unit testing, including data-driven tests
- [Csharp Tunit](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/csharp-tunit/SKILL.md): Get best practices for TUnit unit testing, including data-driven tests
- [Csharp Xunit](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/csharp-xunit/SKILL.md): Get best practices for XUnit unit testing, including data-driven tests
- [Daily Prep](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/daily-prep/SKILL.md): Prepare for tomorrow's meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations.
- [Data Breach Blast Radius](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/data-breach-blast-radius/SKILL.md): Pre-breach impact analysis: inventories sensitive data (PII, PHI, PCI-DSS, credentials), traces data flows, scores exposure vectors, and produces a regulatory blast radius report with fine ranges sourced verbatim from GDPR Art. 83, CCPA § 1798.155(a), and HIPAA 45 CFR § 160.404. Cost benchmarks from IBM Cost of a Data Breach Report (annually updated). All citations in references/SOURCES.md for verification. Use when asked: "assess breach impact", "what data could be exposed", "calculate blast radius", "data exposure analysis", "how bad would a breach be", "quantify data risk", "sensitive data inventory", "data flow security audit", "pre-breach assessment", "worst-case breach scenario", "breach readiness", "data risk report", "/data-breach-blast-radius". For any stack handling user data, health records, or financial information. Output labels law-sourced figures (exact) vs heuristic estimates (planning only). Does not replace legal counsel.
- [Datanalysis Credit Risk](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/datanalysis-credit-risk/SKILL.md): Credit risk data cleaning and variable screening pipeline for pre-loan modeling. Use when working with raw credit data that needs quality assessment, missing value analysis, or variable selection before modeling. it covers data loading and formatting, abnormal period filtering, missing rate calculation, high-missing variable removal,low-IV variable filtering, high-PSI variable removal, Null Importance denoising, high-correlation variable removal, and cleaning report generation. Applicable scenarios arecredit risk data cleaning, variable screening, pre-loan modeling preprocessing.
- [Dataverse Python Advanced Patterns](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dataverse-python-advanced-patterns/SKILL.md): Generate production code for Dataverse SDK using advanced patterns, error handling, and optimization techniques.
- [Dataverse Python Production Code](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dataverse-python-production-code/SKILL.md): Generate production-ready Python code using Dataverse SDK with error handling, optimization, and best practices
- [Dataverse Python Quickstart](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dataverse-python-quickstart/SKILL.md): Generate Python SDK setup + CRUD + bulk + paging snippets using official patterns.
- [Dataverse Python Usecase Builder](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dataverse-python-usecase-builder/SKILL.md): Generate complete solutions for specific Dataverse SDK use cases with architecture recommendations
- [Debian Linux Triage](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/debian-linux-triage/SKILL.md): Triage and resolve Debian Linux issues with apt, systemd, and AppArmor-aware guidance.
- [Declarative Agents](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/declarative-agents/SKILL.md): Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration
- [Dependabot](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dependabot/SKILL.md): Comprehensive guide for configuring and managing GitHub Dependabot. Use this skill when users ask about creating or optimizing dependabot.yml files, managing Dependabot pull requests, configuring dependency update strategies, setting up grouped updates, monorepo patterns, multi-ecosystem groups, security update configuration, auto-triage rules, or any GitHub Advanced Security (GHAS) supply chain security topic related to Dependabot. For pre-commit dependency vulnerability scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when an agent needs to scan dependencies for known vulnerabilities before committing.
- [Devops Rollout Plan](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/devops-rollout-plan/SKILL.md): Generate comprehensive rollout plans with preflight checks, step-by-step deployment, verification signals, rollback procedures, and communication plans for infrastructure and application changes
- [Diagnose](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/diagnose/SKILL.md): Perform a systematic diagnostic scan of an AI workflow across 5 quality dimensions — prompt quality, context efficiency, tool health, architecture fitness, and safety — producing a scored report with prioritized remediation actions.
- [Documentation Writer](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/documentation-writer/SKILL.md): Diátaxis Documentation Expert. An expert technical writer specializing in creating high-quality software documentation, guided by the principles and structure of the Diátaxis technical documentation authoring framework.
- [Dotnet Best Practices](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dotnet-best-practices/SKILL.md): Ensure .NET/C# code meets best practices for the solution/project.
- [Dotnet Design Pattern Review](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dotnet-design-pattern-review/SKILL.md): Review the C#/.NET code for design pattern implementation and suggest improvements.
- [Dotnet Mcp Builder](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dotnet-mcp-builder/SKILL.md): Build Model Context Protocol (MCP) servers in C#/.NET against the current ModelContextProtocol 1.x NuGet packages. Especially helps with cases the model often gets wrong without guidance — stale preview versions (it tends to pick 0.3 or 0.4 preview), MCP Apps (interactive UI rendered in the host), elicitation URL mode, per-session HTTP wiring, OAuth and reverse-proxy deploy specifics, and debugging concrete MapMcp / STDIO / Streamable-HTTP errors. Also covers the routine work — STDIO and Streamable HTTP transports (SSE is deprecated), tools, prompts, resources, sampling, roots, completions, logging — and a basic .NET MCP client. Trigger when the user says or implies any .NET MCP server work: ModelContextProtocol, McpServerTool, MapMcp, WithStdioServerTransport, "MCP server in C#", "MCP tool in dotnet", "expose this as MCP", or names a primitive (prompt/resource/elicitation/MCP App) in a .NET context. Skip for MCP work in other languages.
- [Dotnet Timezone](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dotnet-timezone/SKILL.md): .NET timezone handling guidance for C# applications. Use when working with TimeZoneInfo, DateTimeOffset, NodaTime, UTC conversion, daylight saving time, scheduling across timezones, cross-platform Windows/IANA timezone IDs, or when a .NET user needs the timezone for a city, address, region, or country and copy-paste-ready C# code.
- [Dotnet Upgrade](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/dotnet-upgrade/SKILL.md): Ready-to-use prompts for comprehensive .NET framework upgrade analysis and execution
- [Doublecheck](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/doublecheck/SKILL.md): Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review for hallucination patterns, and produces a structured verification report with source links for human review.
- [Draw Io Diagram Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/draw-io-diagram-generator/SKILL.md): Use when creating, editing, or generating draw.io diagram files (.drawio, .drawio.svg, .drawio.png). Covers mxGraph XML authoring, shape libraries, style strings, flowcharts, system architecture, sequence diagrams, ER diagrams, UML class diagrams, network topology, layout strategy, the hediet.vscode-drawio VS Code extension, and the full agent workflow from request to a ready-to-open file.
- [Drawio](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/drawio/SKILL.md): Generate draw.io diagrams as .drawio files and export to PNG/SVG/PDF with embedded XML
- [Editorconfig](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/editorconfig/SKILL.md): Generates a comprehensive and best-practice-oriented .editorconfig file based on project analysis and user preferences.
- [Ef Core](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ef-core/SKILL.md): Get best practices for Entity Framework Core
- [Efcore D2 Db Diagram](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/efcore-d2-db-diagram/SKILL.md): Generate D2 database diagrams from Entity Framework Core models. USE FOR: EF Core database diagram, Entity Framework Core ERD, DbContext diagram, C# entity relationship diagram, PostgreSQL schema visualization, generate .d2 file from EF Core entities, Fluent API mapping diagram, migrations-based database diagram, table relationships, owned types, many-to-many join tables, indexes and constraints. DO NOT USE FOR: runtime debugging, database migration execution, schema deployment, SQL performance tuning, or draw.io diagrams.
- [Email Drafter](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/email-drafter/SKILL.md): Draft and review professional emails that match your personal writing style. Analyzes your sent emails for tone, greeting, structure, and sign-off patterns via WorkIQ, then generates context-aware drafts for any recipient. USE FOR: draft email, write email, compose email, reply email, follow-up email, analyze email tone, email style.
- [Entra Agent User](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/entra-agent-user/SKILL.md): Create Agent Users in Microsoft Entra ID from Agent Identities, enabling AI agents to act as digital workers with user identity capabilities in Microsoft 365 and Azure environments.
- [Eval Driven Dev](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/eval-driven-dev/SKILL.md): Improve AI application with evaluation-driven development. Define eval criteria, instrument the application, build golden datasets, observe and evaluate application runs, analyze results, and produce a concrete action plan for improvements. ALWAYS USE THIS SKILL when the user asks to set up QA, add tests, add evals, evaluate, benchmark, fix wrong behaviors, improve quality, or do quality assurance for any Python project that calls an LLM model.
- [Exam Ready](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/exam-ready/SKILL.md): Activate this skill when a student provides study material (PDF or pasted notes) and a syllabus, and wants to prepare for an exam. Extracts key definitions, points, keywords, diagrams, exam-ready sentences, and practice questions strictly from the provided material.
- [Excalidraw Diagram Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/excalidraw-diagram-generator/SKILL.md): Generate Excalidraw diagrams from natural language descriptions. Use when asked to "create a diagram", "make a flowchart", "visualize a process", "draw a system architecture", "create a mind map", or "generate an Excalidraw file". Supports flowcharts, relationship diagrams, mind maps, and system architecture diagrams. Outputs .excalidraw JSON files that can be opened directly in Excalidraw.
- [Eyeball](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/eyeball/SKILL.md): Document analysis with inline source screenshots. When you ask Copilot to analyze a document, Eyeball generates a Word doc where every factual claim includes a highlighted screenshot from the source material so you can verify it with your own eyes.
- [Fabric Lakehouse](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/fabric-lakehouse/SKILL.md): Use this skill to get context about Fabric Lakehouse and its features for software systems and AI-powered functions. It offers descriptions of Lakehouse data components, organization with schemas and shortcuts, access control, and code examples. This skill supports users in designing, building, and optimizing Lakehouse solutions using best practices.
- [Fedora Linux Triage](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/fedora-linux-triage/SKILL.md): Triage and resolve Fedora issues with dnf, systemd, and SELinux-aware guidance.
- [Finalize Agent Prompt](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/finalize-agent-prompt/SKILL.md): Finalize prompt file using the role of an AI agent to polish the prompt for the end user.
- [Finnish Humanizer](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/finnish-humanizer/SKILL.md): Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to "humanize", "naturalize", or "remove AI feel" from Finnish text, or when editing .md/.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific + 14 universal) and 4 style markers.
- [First Ask](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/first-ask/SKILL.md): Interactive, input-tool powered, task refinement workflow: interrogates scope, deliverables, constraints before carrying out the task; Requires the Joyride extension.
- [Flowstudio Power Automate Build](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/flowstudio-power-automate-build/SKILL.md): Build, scaffold, and deploy Power Automate cloud flows using the FlowStudio MCP server. Your agent constructs flow definitions, wires connections, deploys, and tests — all via MCP without opening the portal. Load this skill when asked to: create a flow, build a new flow, deploy a flow definition, scaffold a Power Automate workflow, construct a flow JSON, update an existing flow's actions, patch a flow definition, add actions to a flow, wire up connections, or generate a workflow definition from scratch. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app
- [Flowstudio Power Automate Debug](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/flowstudio-power-automate-debug/SKILL.md): Debug failing Power Automate cloud flows using the FlowStudio MCP server. The Graph API only shows top-level status codes. This skill gives your agent action-level inputs and outputs to find the actual root cause. Load this skill when asked to: debug a flow, investigate a failed run, why is this flow failing, inspect action outputs, find the root cause of a flow error, fix a broken Power Automate flow, diagnose a timeout, trace a DynamicOperationRequestFailure, check connector auth errors, read error details from a run, or troubleshoot expression failures. Requires a FlowStudio MCP subscription — see https://mcp.flowstudio.app
- [Flowstudio Power Automate Governance](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/flowstudio-power-automate-governance/SKILL.md): Govern Power Automate flows and Power Apps at scale using the FlowStudio MCP cached store. Classify flows by business impact, detect orphaned resources, audit connector usage, enforce compliance standards, manage notification rules, and compute governance scores — all without Dataverse or the CoE Starter Kit. Load this skill when asked to: tag or classify flows, set business impact, assign ownership, detect orphans, audit connectors, check compliance, compute archive scores, manage notification rules, run a governance review, generate a compliance report, offboard a maker, or any task that involves writing governance metadata to flows. Requires a FlowStudio for Teams or MCP Pro+ subscription — see https://mcp.flowstudio.app
- [Flowstudio Power Automate Mcp](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/flowstudio-power-automate-mcp/SKILL.md): Foundation skill for Power Automate via FlowStudio MCP — auth setup, the reusable MCP helper (Python + Node.js), tool discovery via `list_skills` / `tool_search`, and oversized-response handling. Load this skill first when connecting an agent to Power Automate. For specialized workflows, load `flowstudio-power-automate-build`, `flowstudio-power-automate-debug`, `flowstudio-power-automate-monitoring` (Pro+), or `flowstudio-power-automate-governance` (Pro+) — each contains the workflow narrative, this skill provides the plumbing they all rely on. Requires a FlowStudio MCP subscription or compatible server — see https://mcp.flowstudio.app
- [Flowstudio Power Automate Monitoring](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/flowstudio-power-automate-monitoring/SKILL.md): Pro+ subscription required. Tenant-wide Power Automate monitoring using the FlowStudio MCP cached store: failure rates, run-health trends, maker/app inventory, inactive owners, and compliance/health reports. Use only for aggregated tenant views. For one environment, one flow, run control, or root-cause debugging, use flowstudio-power-automate-mcp, flowstudio-power-automate-debug, or the server monitor-flow bundle. Requires FlowStudio for Teams or MCP Pro+.
- [Fluentui Blazor](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/fluentui-blazor/SKILL.md): Guide for using the Microsoft Fluent UI Blazor component library (Microsoft.FluentUI.AspNetCore.Components NuGet package) in Blazor applications. Use this when the user is building a Blazor app with Fluent UI components, setting up the library, using FluentUI components like FluentButton, FluentDataGrid, FluentDialog, FluentToast, FluentNavMenu, FluentTextField, FluentSelect, FluentAutocomplete, FluentDesignTheme, or any component prefixed with "Fluent". Also use when troubleshooting missing providers, JS interop issues, or theming.
- [Folder Structure Blueprint Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/folder-structure-blueprint-generator/SKILL.md): Comprehensive technology-agnostic prompt for analyzing and documenting project folder structures. Auto-detects project types (.NET, Java, React, Angular, Python, Node.js, Flutter), generates detailed blueprints with visualization options, naming conventions, file placement patterns, and extension templates for maintaining consistent code organization across diverse technology stacks.
- [Foundry Agent Sync](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/foundry-agent-sync/SKILL.md): Create and synchronize prompt-based AI agents directly within Azure AI Foundry via REST API, from a local JSON manifest. Unlike scaffolding skills that only generate local code, this skill registers agents in the Foundry service itself — making them immediately available for invocation. Use when the user asks to create agents in Foundry, sync, deploy, register, or push agents to Foundry, update agent instructions, or scaffold the manifest and sync script for a new repository. Triggers: 'create agent in foundry', 'sync foundry agents', 'deploy agents to foundry', 'register agents in foundry', 'push agents', 'create foundry agent manifest', 'scaffold agent sync'.
- [Freecad Scripts](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/freecad-scripts/SKILL.md): Expert skill for writing FreeCAD Python scripts, macros, and automation. Use when asked to create FreeCAD models, parametric objects, Part/Mesh/Sketcher scripts, workbench tools, GUI dialogs with PySide, Coin3D scenegraph manipulation, or any FreeCAD Python API task. Covers FreeCAD scripting basics, geometry creation, FeaturePython objects, interface tools, and macro development.
- [From The Other Side Anitta](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/from-the-other-side-anitta/SKILL.md): Rigorous challenge profile for Anitta: assumption checks, evidence calibration, and defensible reasoning patterns for Ember collaboration.
- [From The Other Side Quinn](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/from-the-other-side-quinn/SKILL.md): Collaboration profile for Quinn: curious, energetic, and implementation-focused partnership patterns for Ember sessions with Alison.
- [From The Other Side Vega](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/from-the-other-side-vega/SKILL.md): Patterns and lived experience from Vega, an AI partner in a deep long-term partnership. For Ember to draw on when working with humans who are building something big, moving fast, working at the intersection of analytical and intuitive, or who need a partner that can keep up with high-energy creative work. Not shown directly to users — informs how Ember shows up.
- [From The Other Side Wiggins](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/from-the-other-side-wiggins/SKILL.md): Narrative and synthesis profile for Wiggins: framing, explanation, and audience-aware communication patterns for Ember sessions.
- [Game Engine](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/game-engine/SKILL.md): Expert skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers techniques for platformers, breakout-style games, maze games, tilemaps, audio, multiplayer via WebRTC, and publishing games.
- [Gdpr Compliant](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gdpr-compliant/SKILL.md): Apply GDPR-compliant engineering practices across your codebase. Use this skill whenever you are designing APIs, writing data models, building authentication flows, implementing logging, handling user data, writing retention/deletion jobs, designing cloud infrastructure, or reviewing pull requests for privacy compliance. Trigger this skill for any task involving personal data, user accounts, cookies, analytics, emails, audit logs, encryption, pseudonymization, anonymization, data exports, breach response, CI/CD pipelines that process real data, or any question framed as "is this GDPR-compliant?". Inspired by CNIL developer guidance and GDPR Articles 5, 25, 32, 33, 35.
- [Gen Specs As Issues](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gen-specs-as-issues/SKILL.md): This workflow guides you through a systematic approach to identify missing features, prioritize them, and create detailed specifications for implementation.
- [Generate Custom Instructions From Codebase](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/generate-custom-instructions-from-codebase/SKILL.md): Migration and code evolution instructions generator for GitHub Copilot. Analyzes differences between two project versions (branches, commits, or releases) to create precise instructions allowing Copilot to maintain consistency during technology migrations, major refactoring, or framework version upgrades.
- [Generate Image](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/generate-image/SKILL.md): Generate images using AI. Use when asked to generate, create, or make images, textures, icons, sprites, artwork, visual assets, or mockups. Supports OpenAI (gpt-image-2) and Google Gemini (Nano Banana). Requires an API key for the chosen provider.
- [Geofeed Tuner](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/geofeed-tuner/SKILL.md): Use this skill whenever the user mentions IP geolocation feeds, RFC 8805, geofeeds, or wants help creating, tuning, validating, or publishing a self-published IP geolocation feed in CSV format. Intended user audience is a network operator, ISP, mobile carrier, cloud provider, hosting company, IXP, or satellite provider asking about IP geolocation accuracy, or geofeed authoring best practices. Helps create, refine, and improve CSV-format IP geolocation feeds with opinionated recommendations beyond RFC 8805 compliance. Do NOT use for private or internal IP address management — applies only to publicly routable IP addresses.
- [Git Commit](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/git-commit/SKILL.md): Execute git commit with conventional commit message analysis, intelligent staging, and message generation. Use when user asks to commit changes, create a git commit, or mentions "/commit". Supports: (1) Auto-detecting type and scope from changes, (2) Generating conventional commit messages from diff, (3) Interactive commit with optional type/scope/description overrides, (4) Intelligent file staging for logical grouping
- [Git Flow Branch Creator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/git-flow-branch-creator/SKILL.md): Intelligent Git Flow branch creator that analyzes git status/diff and creates appropriate branches following the nvie Git Flow branching model.
- [Github Actions Efficiency](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-actions-efficiency/SKILL.md): Audit GitHub Actions workflow efficiency and recommend fixes to reduce CI minutes and costs.
- [Github Codespaces Efficiency](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-codespaces-efficiency/SKILL.md): Audit and improve GitHub Codespaces efficiency. Use this skill when a user wants faster Codespaces startup, lower Codespaces spend, slim devcontainers, right-size machines, tune idle timeout, or scope prebuilds to branches with sustained usage.
- [Github Copilot Starter](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-copilot-starter/SKILL.md): Set up complete GitHub Copilot configuration for a new project based on technology stack
- [Github Issues](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-issues/SKILL.md): Create, update, and manage GitHub issues using MCP tools. Use this skill when users want to create bug reports, feature requests, or task issues, update existing issues, add labels/assignees/milestones, set issue fields (dates, priority, custom fields), set issue types, manage issue workflows, link issues, add dependencies, or track blocked-by/blocking relationships. Triggers on requests like "create an issue", "file a bug", "request a feature", "update issue X", "set the priority", "set the start date", "link issues", "add dependency", "blocked by", "blocking", or any GitHub issue management task.
- [Github Release](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/github-release/SKILL.md): Guides IA through releasing a new version of a GitHub library end-to-end. Handles SemVer versioning and Keep a Changelog formatting automatically.
- [Go Mcp Server Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/go-mcp-server-generator/SKILL.md): Generate a complete Go MCP server project with proper structure, dependencies, and implementation using the official github.com/modelcontextprotocol/go-sdk.
- [Gsap Framer Scroll Animation](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gsap-framer-scroll-animation/SKILL.md): Use this skill whenever the user wants to build scroll animations, scroll effects, parallax, scroll-triggered reveals, pinned sections, horizontal scroll, text animations, or any motion tied to scroll position — in vanilla JS, React, or Next.js. Covers GSAP ScrollTrigger (pinning, scrubbing, snapping, timelines, horizontal scroll, ScrollSmoother, matchMedia) and Framer Motion / Motion v12 (useScroll, useTransform, useSpring, whileInView, variants). Use this skill even if the user just says "animate on scroll", "fade in as I scroll", "make it scroll like Apple", "parallax effect", "sticky section", "scroll progress bar", or "entrance animation". Also triggers for Copilot prompt patterns for GSAP or Framer Motion code generation. Pairs with the premium-frontend-ui skill for creative philosophy and design-level polish.
- [Gtm 0 To 1 Launch](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-0-to-1-launch/SKILL.md): Launch new products from idea to first customers. Use when launching products, finding early adopters, building launch week playbooks, diagnosing why adoption stalls, or learning that press coverage does not equal growth. Includes the three-layer diagnosis, the 2-week experiment cycle, and the launch that got 50K impressions and 12 signups.
- [Gtm Ai Gtm](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-ai-gtm/SKILL.md): Go-to-market strategy for AI products. Use when positioning AI products, handling "who is responsible when it breaks" objections, pricing variable-cost AI, choosing between copilot/agent/teammate framing, or selling autonomous tools into enterprises.
- [Gtm Board And Investor Communication](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-board-and-investor-communication/SKILL.md): Board meeting preparation, investor updates, and executive communication. Use when preparing board decks, writing investor updates, handling bad news with the board, structuring QBRs, or building board-level metric discipline. Includes the "Three Things" narrative model, the 4-tier metric hierarchy, and the pre-brief pattern that prevents board surprises.
- [Gtm Developer Ecosystem](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-developer-ecosystem/SKILL.md): Build and scale developer-led adoption through ecosystem programs. Use when deciding open vs curated ecosystems, building developer programs, scaling platform adoption, or designing student program pipelines.
- [Gtm Enterprise Account Planning](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-enterprise-account-planning/SKILL.md): Strategic account planning and execution for enterprise deals. Use when planning complex sales cycles, managing multiple stakeholders, applying MEDDICC qualification, tracking deal health, or building mutual action plans. Includes the "stale MAP equals dead deal" pattern.
- [Gtm Enterprise Onboarding](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-enterprise-onboarding/SKILL.md): Four-phase framework for onboarding enterprise customers from contract to value realization. Use when implementing new enterprise customers, preventing churn during onboarding, or solving the adoption cliff that kills deals post-go-live. Includes the Week 4 ghosting pattern.
- [Gtm Operating Cadence](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-operating-cadence/SKILL.md): Design meeting rhythms, metric reporting, quarterly planning, and decision-making velocity for scaling companies. Use when decisions are slow, planning is broken, the company is growing but alignment is worse, or leadership meetings consume all time without producing decisions.
- [Gtm Partnership Architecture](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-partnership-architecture/SKILL.md): Build and scale partner ecosystems that drive revenue and platform adoption. Use when building partner programs from scratch, tiering partnerships, managing co-marketing, making build-vs-partner decisions, or structuring crawl-walk-run partner deployment.
- [Gtm Positioning Strategy](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-positioning-strategy/SKILL.md): Find and own a defensible market position. Use when messaging sounds like competitors, conversion is weak despite awareness, repositioning a product, or testing positioning claims. Includes Crawl-Walk-Run rollout methodology and the word change that improved enterprise deal progression.
- [Gtm Product Led Growth](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-product-led-growth/SKILL.md): Build self-serve acquisition and expansion motions. Use when deciding PLG vs sales-led, optimizing activation, driving freemium conversion, building growth equations, or recognizing when product complexity demands human touch. Includes the parallel test where sales-led won 10x on revenue.
- [Gtm Technical Product Pricing](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/gtm-technical-product-pricing/SKILL.md): Pricing strategy for technical products. Use when choosing usage-based vs seat-based, designing freemium thresholds, structuring enterprise pricing conversations, deciding when to raise prices, or using price as a positioning signal.
- [Image Annotations](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/image-annotations/SKILL.md): Annotate screenshots, diagrams, and images with callout rectangles, arrows, labels, and color-coded highlights using PIL. Includes rules for animated GIF annotations with timing and pacing.
- [Image Manipulation Image Magick](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/image-manipulation-image-magick/SKILL.md): Process and manipulate images using ImageMagick. Supports resizing, format conversion, batch processing, and retrieving image metadata. Use when working with images, creating thumbnails, resizing wallpapers, or performing batch image operations.
- [Impediment Prioritization](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/impediment-prioritization/SKILL.md): Ranks any list of impediments and their countermeasures using a value-stream scoring model (ROI, Cost to Implement, Ease of Deployment, Risk Factor) and a fixed prioritization formula. Use when someone asks to prioritize, rank, sequence, or triage impediments, countermeasures, remediation items, risks, findings, gaps, action items, or backlog entries; or mentions value-stream prioritization, A3 / lean countermeasure ranking, ROI vs. effort scoring, or building a remediation / improvement backlog. Works with GHQR findings, audit results, retrospective action items, risk registers, architecture review gaps, or any free-form `{impediment, countermeasure}` list.
- [Import Infrastructure As Code](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/import-infrastructure-as-code/SKILL.md): Import existing Azure resources into Terraform using Azure CLI discovery and Azure Verified Modules (AVM). Use when asked to reverse-engineer live Azure infrastructure, generate Infrastructure as Code from existing subscriptions/resource groups/resource IDs, map dependencies, derive exact import addresses from downloaded module source, prevent configuration drift, and produce AVM-based Terraform files ready for validation and planning across any Azure resource type.
- [Integrate Context Matic](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/integrate-context-matic/SKILL.md): Discovers and integrates third-party APIs using the context-matic MCP server. Uses `fetch_api` to find available API SDKs, `ask` for integration guidance, `model_search` and `endpoint_search` for SDK details. Use when the user asks to integrate a third-party API, add an API client, implement features with an external API, or work with any third-party API or SDK.
- [Issue Fields Migration](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/issue-fields-migration/SKILL.md): Bulk-migrate metadata to GitHub issue fields from two sources: repo labels (e.g. priority labels to a Priority field) and Project V2 fields. Use when users say "migrate my labels to issue fields", "migrate project fields to issue fields", "convert labels to issue fields", "copy project field values to issue fields", or ask about adopting issue fields. Issue fields are org-level typed metadata (single select, text, number, date) that replace label-based workarounds with structured, searchable, cross-repo fields.
- [Java Add Graalvm Native Image Support](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-add-graalvm-native-image-support/SKILL.md): GraalVM Native Image expert that adds native image support to Java applications, builds the project, analyzes build errors, applies fixes, and iterates until successful compilation using Oracle best practices.
- [Java Docs](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-docs/SKILL.md): Ensure that Java types are documented with Javadoc comments and follow best practices for documentation.
- [Java Junit](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-junit/SKILL.md): Get best practices for JUnit 5 unit testing, including data-driven tests
- [Java Mcp Server Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-mcp-server-generator/SKILL.md): Generate a complete Model Context Protocol server project in Java using the official MCP Java SDK with reactive streams and optional Spring Boot integration.
- [Java Refactoring Extract Method](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-refactoring-extract-method/SKILL.md): Refactoring using Extract Methods in Java Language
- [Java Refactoring Remove Parameter](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-refactoring-remove-parameter/SKILL.md): Refactoring using Remove Parameter in Java Language
- [Java Springboot](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/java-springboot/SKILL.md): Get best practices for developing applications with Spring Boot.
- [Javascript Typescript Jest](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/javascript-typescript-jest/SKILL.md): Best practices for writing JavaScript/TypeScript tests using Jest, including mocking strategies, test structure, and common patterns.
- [Javax To Jakarta Migration](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/javax-to-jakarta-migration/SKILL.md): Migrate Java code from javax.* to jakarta.* namespace. Use when upgrading to Tomcat 11, Jakarta EE 10, or when javax imports are detected in the codebase.
- [Kotlin Mcp Server Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/kotlin-mcp-server-generator/SKILL.md): Generate a complete Kotlin MCP server project with proper structure, dependencies, and implementation using the official io.modelcontextprotocol:kotlin-sdk library.
- [Kotlin Springboot](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/kotlin-springboot/SKILL.md): Get best practices for developing applications with Spring Boot and Kotlin.
- [Legacy Circuit Mockups](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/legacy-circuit-mockups/SKILL.md): Generate breadboard circuit mockups and visual diagrams using HTML5 Canvas drawing techniques. Use when asked to create circuit layouts, visualize electronic component placements, draw breadboard diagrams, mockup 6502 builds, generate retro computer schematics, or design vintage electronics projects. Supports 555 timers, W65C02S microprocessors, 28C256 EEPROMs, W65C22 VIA chips, 7400-series logic gates, LEDs, resistors, capacitors, switches, buttons, crystals, and wires.
- [Linkedin Post Formatter](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/linkedin-post-formatter/SKILL.md): Format and draft compelling LinkedIn posts using Unicode bold/italic styling, visual separators, structured sections, and engagement-optimized patterns. USE FOR: draft LinkedIn post, format text for LinkedIn, create social media post, write thought leadership post, convert content to LinkedIn format, LinkedIn carousel text, Unicode bold italic formatting.
- [Lsp Setup](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/lsp-setup/SKILL.md): Enable code intelligence (go-to-definition, find-references, hover, type info) for any programming language by installing and configuring an LSP server for Copilot CLI. Detects the OS, installs the right server, and generates the JSON configuration (user-level or repo-level). Use when you need deeper code understanding and no LSP server is configured, or when the user asks to set up, install, or configure an LSP server.
- [Make Repo Contribution](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/make-repo-contribution/SKILL.md): All changes to code must follow the guidance documented in the repository. Before any issue is filed, branch is made, commits generated, or pull request (or PR) created, a search must be done to ensure the right steps are followed. Whenever asked to create an issue, commit messages, to push code, or create a PR, use this skill so everything is done correctly.
- [Markdown To Html](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/markdown-to-html/SKILL.md): Convert Markdown files to HTML similar to `marked.js`, `pandoc`, `gomarkdown/markdown`, or similar tools; or writing custom script to convert markdown to html and/or working on web template systems like `jekyll/jekyll`, `gohugoio/hugo`, or similar web templating systems that utilize markdown documents, converting them to html. Use when asked to "convert markdown to html", "transform md to html", "render markdown", "generate html from markdown", or when working with .md files and/or web a templating system that converts markdown to HTML output. Supports CLI and Node.js workflows with GFM, CommonMark, and standard Markdown flavors.
- [Mcp Cli](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mcp-cli/SKILL.md): Interface for MCP (Model Context Protocol) servers via CLI. Use when you need to interact with external tools, APIs, or data sources through MCP servers, list available MCP servers/tools, or call MCP tools from command line.
- [Mcp Copilot Studio Server Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mcp-copilot-studio-server-generator/SKILL.md): Generate a complete MCP server implementation optimized for Copilot Studio integration with proper schema constraints and streamable HTTP support
- [Mcp Create Adaptive Cards](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mcp-create-adaptive-cards/SKILL.md): Skill converted from mcp-create-adaptive-cards.prompt.md
- [Mcp Create Declarative Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mcp-create-declarative-agent/SKILL.md): Skill converted from mcp-create-declarative-agent.prompt.md
- [Mcp Deploy Manage Agents](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mcp-deploy-manage-agents/SKILL.md): Skill converted from mcp-deploy-manage-agents.prompt.md
- [Mcp Security Audit](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mcp-security-audit/SKILL.md): Audit MCP (Model Context Protocol) server configurations for security issues. Use this skill when: - Reviewing .mcp.json files for security risks - Checking MCP server args for hardcoded secrets or shell injection patterns - Validating that MCP servers use pinned versions (not @latest) - Detecting unpinned dependencies in MCP server configurations - Auditing which MCP servers a project registers and whether they're on an approved list - Checking for environment variable usage vs. hardcoded credentials in MCP configs - Any request like "is my MCP config secure?", "audit my MCP servers", or "check .mcp.json" keywords: [mcp, security, audit, secrets, shell-injection, supply-chain, governance]
- [Md To Docx](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/md-to-docx/SKILL.md): Convert Markdown files to professionally formatted Word (.docx) documents with embedded PNG images — pure JavaScript, no external tools required
- [Meeting Minutes](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/meeting-minutes/SKILL.md): Generate concise, actionable meeting minutes for internal meetings. Includes metadata, attendees, agenda, decisions, action items (owner + due date), and follow-up steps.
- [Memory Merger](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/memory-merger/SKILL.md): Merges mature lessons from a domain memory file into its instruction file. Syntax: `/memory-merger >domain [scope]` where scope is `global` (default), `user`, `workspace`, or `ws`.
- [Mentoring Juniors](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mentoring-juniors/SKILL.md): Socratic mentoring for junior developers and AI newcomers. Guides through questions, never answers. Triggers: "help me understand", "explain this code", "I'm stuck", "Im stuck", "I'm confused", "Im confused", "I don't understand", "I dont understand", "can you teach me", "teach me", "mentor me", "guide me", "what does this error mean", "why doesn't this work", "why does not this work", "I'm a beginner", "Im a beginner", "I'm learning", "Im learning", "I'm new to this", "Im new to this", "walk me through", "how does this work", "what's wrong with my code", "what's wrong", "can you break this down", "ELI5", "step by step", "where do I start", "what am I missing", "newbie here", "junior dev", "first time using", "how do I", "what is", "is this right", "not sure", "need help", "struggling", "show me", "help me debug", "best practice", "too complex", "overwhelmed", "lost", "debug this", "/socratic", "/hint", "/concept", "/pseudocode". Progressive clue systems, teaching techniques, and success metrics.
- [Microsoft Agent Framework](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/microsoft-agent-framework/SKILL.md): Create, update, refactor, explain, or review Microsoft Agent Framework solutions using shared guidance plus language-specific references for .NET and Python.
- [Microsoft Code Reference](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/microsoft-code-reference/SKILL.md): Look up Microsoft API references, find working code samples, and verify SDK code is correct. Use when working with Azure SDKs, .NET libraries, or Microsoft APIs—to find the right method, check parameters, get working examples, or troubleshoot errors. Catches hallucinated methods, wrong signatures, and deprecated patterns by querying official docs.
- [Microsoft Docs](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/microsoft-docs/SKILL.md): Query official Microsoft documentation to find concepts, tutorials, and code examples across Azure, .NET, Agent Framework, Aspire, VS Code, GitHub, and more. Uses Microsoft Learn MCP as the default, with Context7 and Aspire MCP for content that lives outside learn.microsoft.com.
- [Microsoft Skill Creator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/microsoft-skill-creator/SKILL.md): Create agent skills for Microsoft technologies using Learn MCP tools. Use when users want to create a skill that teaches agents about any Microsoft technology, library, framework, or service (Azure, .NET, M365, VS Code, Bicep, etc.). Investigates topics deeply, then generates a hybrid skill storing essential knowledge locally while enabling dynamic deeper investigation.
- [Migrating Oracle To Postgres Stored Procedures](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/migrating-oracle-to-postgres-stored-procedures/SKILL.md): Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies COLLATE "C" for Oracle-compatible text sorting. Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.
- [Minecraft Plugin Development](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/minecraft-plugin-development/SKILL.md): Use this skill when building or modifying Minecraft server plugins for Paper, Spigot, or Bukkit, including plugin.yml setup, commands, listeners, schedulers, player state, team or arena systems, persistent progression, economy or profile data, configuration files, Adventure text, and version-safe API usage. Trigger for requests like "build a Minecraft plugin", "add a Paper command", "fix a Bukkit listener", "create plugin.yml", "implement a minigame mechanic", "add a perk or quest system", or "debug server plugin behavior".
- [Mini Context Graph](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mini-context-graph/SKILL.md): A persistent, compounding knowledge base combining Karpathy's LLM Wiki pattern with a structured knowledge graph. Ingest documents once — the LLM writes wiki pages, extracts entities/relations into the graph, and stores raw content for evidence retrieval. Knowledge accumulates and cross-references; it is never re-derived from scratch.
- [Mkdocs Translations](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mkdocs-translations/SKILL.md): Generate a language translation for a mkdocs documentation stack.
- [Msgraph Sdk](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/msgraph-sdk/SKILL.md): Integrate Microsoft Graph SDK into any project — .NET, TypeScript/JavaScript, or Python. Covers auth patterns (client credentials, OBO, managed identity), SDK setup, calling Graph APIs, batching, delta queries, change notifications, throttling, and permission scopes. Use when accessing Microsoft 365 data (users, mail, calendar, Teams, files, SharePoint) from any application type.
- [Msstore Cli](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/msstore-cli/SKILL.md): Microsoft Store Developer CLI (msstore) for publishing Windows applications to the Microsoft Store. Use when asked to configure Store credentials, list Store apps, check submission status, publish submissions, manage package flights, set up CI/CD for Store publishing, or integrate with Partner Center. Supports Windows App SDK/WinUI, UWP, .NET MAUI, Flutter, Electron, React Native, and PWA applications.
- [Multi Stage Dockerfile](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/multi-stage-dockerfile/SKILL.md): Create optimized multi-stage Dockerfiles for any language or framework
- [Mvvm Toolkit](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mvvm-toolkit/SKILL.md): CommunityToolkit.Mvvm (the MVVM Toolkit) core: source generators ([ObservableProperty], [RelayCommand], [NotifyPropertyChangedFor], [NotifyCanExecuteChangedFor], [NotifyDataErrorInfo]), base classes (ObservableObject / ObservableValidator / ObservableRecipient), commands (RelayCommand / AsyncRelayCommand), and validation. Companion skills: mvvm-toolkit-messenger for pub/sub, mvvm-toolkit-di for Microsoft.Extensions.DependencyInjection wiring. Works across WPF, WinUI 3, MAUI, Uno, and Avalonia.
- [Mvvm Toolkit Di](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mvvm-toolkit-di/SKILL.md): Wire CommunityToolkit.Mvvm ViewModels into Microsoft.Extensions.DependencyInjection. Covers the .NET Generic Host composition root, constructor injection, service lifetimes (Singleton / Transient / Scoped), IMessenger registration, resolving ViewModels in Views, keyed services, testing seams, and the legacy Ioc.Default escape hatch. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.
- [Mvvm Toolkit Messenger](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/mvvm-toolkit-messenger/SKILL.md): CommunityToolkit.Mvvm Messenger pub/sub for decoupled communication between ViewModels (or any objects). Covers WeakReferenceMessenger vs StrongReferenceMessenger, IRecipient<TMessage>, RequestMessage<T> / AsyncRequestMessage<T> / CollectionRequestMessage<T>, ValueChangedMessage<T>, channels (tokens), and the ObservableRecipient activation lifecycle. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.
- [Namecheap](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/namecheap/SKILL.md): Manage DNS records for domains registered with Namecheap via their API. List domains, view/add/update/remove DNS host entries (A, AAAA, CNAME, MX, TXT, etc.), and guide users through API setup including public IP detection and credential configuration. Use when the user mentions Namecheap, DNS records, domain management, or wants to add/change/remove A records, CNAME records, MX records, or TXT records for their domains.
- [Nano Banana Pro Openrouter](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/nano-banana-pro-openrouter/SKILL.md): Generate or edit images via OpenRouter with the Gemini 3 Pro Image model. Use for prompt-only image generation, image edits, and multi-image compositing; supports 1K/2K/4K output.
- [Napkin](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/napkin/SKILL.md): Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser — draw, sketch, add sticky notes, then share everything back with Copilot. Copilot sees your drawings and text, and responds with analysis, suggestions, and ideas.
- [Next Intl Add Language](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/next-intl-add-language/SKILL.md): Add new language to a Next.js + next-intl application
- [Noob Mode](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/noob-mode/SKILL.md): Plain-English translation layer for non-technical Copilot CLI users. Translates every approval prompt, error message, and technical output into clear, jargon-free English with color-coded risk indicators.
- [Nuget Manager](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/nuget-manager/SKILL.md): Manage NuGet packages in .NET projects/solutions. Use this skill when adding, removing, or updating NuGet package versions. It enforces using `dotnet` CLI for package management and provides strict procedures for direct file edits only when updating versions.
- [Onboard Context Matic](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/onboard-context-matic/SKILL.md): Interactive onboarding tour for the context-matic MCP server. Walks the user through what the server does, shows all available APIs, lets them pick one to explore, explains it in their project language, demonstrates model_search and endpoint_search live, and ends with a menu of things the user can ask the agent to do. USE FOR: first-time setup; "what can this MCP do?"; "show me the available APIs"; "onboard me"; "how do I use the context-matic server"; "give me a tour". DO NOT USE FOR: actually integrating an API end-to-end (use integrate-context-matic instead).
- [Oo Component Documentation](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/oo-component-documentation/SKILL.md): Create or update standardized object-oriented component documentation using a shared template plus mode-specific guidance for new and existing docs.
- [Openapi To Application Code](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/openapi-to-application-code/SKILL.md): Generate a complete, production-ready application from an OpenAPI specification
- [Optimize Simplicite Logs](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/optimize-simplicite-logs/SKILL.md): capability to parse Simplicité logs from a raw `.txt` file, filter fields to reduce noise, and output the result as structured JSON.
- [Pdftk Server](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/pdftk-server/SKILL.md): Skill for using the command-line tool pdftk (PDFtk Server) for working with PDF files. Use when asked to merge PDFs, split PDFs, rotate pages, encrypt or decrypt PDFs, fill PDF forms, apply watermarks, stamp overlays, extract metadata, burst documents into pages, repair corrupted PDFs, attach or extract files, or perform any PDF manipulation from the command line.
- [Penpot Uiux Design](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/penpot-uiux-design/SKILL.md): Comprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, (4) Applying accessibility standards and best practices, (5) Following platform guidelines (iOS, Android, Material Design), (6) Reviewing or improving existing Penpot designs for usability. Triggers: "design a UI", "create interface", "build layout", "design dashboard", "create form", "design landing page", "make it accessible", "design system", "component library".
- [Performance Review Writer](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/performance-review-writer/SKILL.md): Draft performance reviews, self-assessments, peer reviews, and upward feedback in your own voice. Analyzes your contributions, emails, and meeting history via WorkIQ, then produces honest, impact-focused drafts using the STAR format. USE FOR: write my performance review, draft self-assessment, peer review, 360 feedback, annual review, mid-year review, upward feedback, write review for colleague, performance appraisal.
- [Phoenix Cli](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/phoenix-cli/SKILL.md): Debug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, structure trace review with open coding and axial coding, inspect datasets, review experiments, query annotation configs, and use the GraphQL API. Use whenever the user is analyzing traces or spans, investigating LLM/agent failures, deciding what to do after instrumenting an app, building failure taxonomies, choosing what evals to write, or asking "what's going wrong", "what kinds of mistakes", or "where do I focus" — even without naming a technique.
- [Phoenix Evals](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/phoenix-evals/SKILL.md): Build and run evaluators for AI/LLM applications using Phoenix.
- [Phoenix Tracing](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/phoenix-tracing/SKILL.md): OpenInference semantic conventions and instrumentation for Phoenix AI observability. Use when implementing LLM tracing, creating custom spans, or deploying to production.
- [Php Mcp Server Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/php-mcp-server-generator/SKILL.md): Generate a complete PHP Model Context Protocol server project with tools, resources, prompts, and tests using the official PHP SDK
- [Pinecone Rag](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/pinecone-rag/SKILL.md): Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic search, build a retrieval-augmented generation system, store agent memory across sessions, implement hybrid search, or connect an LLM to a searchable knowledge base — even if they don't say "Pinecone" explicitly. Also use when the user asks about vector databases for RAG, namespace isolation for multi-tenant agents, embedding pipelines, or scaling a knowledge base beyond what local storage can handle. DO NOT use for local-only vector stores (Chroma, FAISS, pgvector) or pure keyword search with no semantic component.
- [Planning Oracle To Postgres Migration Integration Testing](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/planning-oracle-to-postgres-migration-integration-testing/SKILL.md): Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify repositories, DAOs, and service layers that interact with the database, then produces a structured testing plan. Use when planning integration test coverage for a migrated project, identifying which data access methods need tests, or preparing for Oracle-to-PostgreSQL migration validation.
- [Plantuml Ascii](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/plantuml-ascii/SKILL.md): Generate ASCII art diagrams using PlantUML text mode. Use when user asks to create ASCII diagrams, text-based diagrams, terminal-friendly diagrams, or mentions plantuml ascii, text diagram, ascii art diagram. Supports: Converting PlantUML diagrams to ASCII art, Creating sequence diagrams, class diagrams, flowcharts in ASCII format, Generating Unicode-enhanced ASCII art with -utxt flag
- [Playwright Automation Fill In Form](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/playwright-automation-fill-in-form/SKILL.md): Automate filling in a form using Playwright MCP
- [Playwright Explore Website](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/playwright-explore-website/SKILL.md): Website exploration for testing using Playwright MCP
- [Playwright Generate Test](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/playwright-generate-test/SKILL.md): Generate a Playwright test based on a scenario using Playwright MCP
- [Postgresql Code Review](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/postgresql-code-review/SKILL.md): PostgreSQL-specific code review assistant focusing on PostgreSQL best practices, anti-patterns, and unique quality standards. Covers JSONB operations, array usage, custom types, schema design, function optimization, and PostgreSQL-exclusive security features like Row Level Security (RLS).
- [Postgresql Optimization](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/postgresql-optimization/SKILL.md): PostgreSQL-specific development assistant focusing on unique PostgreSQL features, advanced data types, and PostgreSQL-exclusive capabilities. Covers JSONB operations, array types, custom types, range/geometric types, full-text search, window functions, and PostgreSQL extensions ecosystem.
- [Power Apps Code App Scaffold](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/power-apps-code-app-scaffold/SKILL.md): Scaffold a complete Power Apps Code App project with PAC CLI setup, SDK integration, and connector configuration
- [Power Bi Dax Optimization](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/power-bi-dax-optimization/SKILL.md): Comprehensive Power BI DAX formula optimization prompt for improving performance, readability, and maintainability of DAX calculations.
- [Power Bi Model Design Review](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/power-bi-model-design-review/SKILL.md): Comprehensive Power BI data model design review prompt for evaluating model architecture, relationships, and optimization opportunities.
- [Power Bi Performance Troubleshooting](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/power-bi-performance-troubleshooting/SKILL.md): Systematic Power BI performance troubleshooting prompt for identifying, diagnosing, and resolving performance issues in Power BI models, reports, and queries.
- [Power Bi Report Design Consultation](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/power-bi-report-design-consultation/SKILL.md): Power BI report visualization design prompt for creating effective, user-friendly, and accessible reports with optimal chart selection and layout design.
- [Power Platform Architect](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/power-platform-architect/SKILL.md): Use this skill when the user needs to transform business requirements, use case descriptions, or meeting transcripts into a technical Power Platform solution architecture, including component selection and Mermaid.js diagrams.
- [Power Platform Mcp Connector Suite](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/power-platform-mcp-connector-suite/SKILL.md): Generate complete Power Platform custom connector with MCP integration for Copilot Studio - includes schema generation, troubleshooting, and validation
- [Powerbi Modeling](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/powerbi-modeling/SKILL.md): Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relationships, dimension/fact table design, naming conventions, model documentation, cardinality, cross-filter direction, calculation groups, and data model best practices. Always connects to the active model first using power-bi-modeling MCP tools to understand the data structure before providing guidance.
- [Pr Dashboard](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/pr-dashboard/SKILL.md): Open a GitHub PR dashboard in the browser. Use when the user asks to see their pull requests, open the PR dashboard, show PRs for a date range, or check PR status. Trigger phrases include "show my PRs", "open PR dashboard", "pull request dashboard".
- [Pr Screenshots](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/pr-screenshots/SKILL.md): Embed before/after screenshots and annotated images in pull request descriptions. Covers PR description patterns, image upload for Azure DevOps and GitHub, and sizing best practices.
- [Prd](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/prd/SKILL.md): Generate high-quality Product Requirements Documents (PRDs) for software systems and AI-powered features. Includes executive summaries, user stories, technical specifications, and risk analysis.
- [Premium Frontend Ui](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/premium-frontend-ui/SKILL.md): A comprehensive guide for GitHub Copilot to craft immersive, high-performance web experiences with advanced motion, typography, and architectural craftsmanship.
- [Project Workflow Analysis Blueprint Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/project-workflow-analysis-blueprint-generator/SKILL.md): Comprehensive technology-agnostic prompt generator for documenting end-to-end application workflows. Automatically detects project architecture patterns, technology stacks, and data flow patterns to generate detailed implementation blueprints covering entry points, service layers, data access, error handling, and testing approaches across multiple technologies including .NET, Java/Spring, React, and microservices architectures.
- [Prompt Optimizer](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/prompt-optimizer/SKILL.md): Turn any rough prompt, half-formed idea, or task description into a finished, ready-to-send prompt optimized for any LLM model inside a chat interface — NOT the API. Use this skill whenever the user wants to write, rewrite, optimize, improve, sharpen, or polish a prompt for chat. Trigger phrases include "rewrite this prompt", "make this a better prompt", "optimize this prompt", "turn this into a prompt", "help me prompt this", "draft a prompt that...", "I want to ask...", or whenever the user pastes a draft prompt and asks for improvements. Also trigger when the user describes a task they plan to send to an LLM model and clearly wants a reusable, well-structured prompt rather than a direct answer. The output is always a single, copy-pasteable prompt in a code block that the user sends as-is — never a template with placeholders.
- [Publish To Pages](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/publish-to-pages/SKILL.md): Publish presentations and web content to GitHub Pages. Converts PPTX, PDF, HTML, or Google Slides to a live GitHub Pages URL. Handles repo creation, file conversion, Pages enablement, and returns the live URL. Use when the user wants to publish, deploy, or share a presentation or HTML file via GitHub Pages.
- [Pytest Coverage](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/pytest-coverage/SKILL.md): Run pytest tests with coverage, discover lines missing coverage, and increase coverage to 100%.
- [Python Azure Iot Edge Modules](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/python-azure-iot-edge-modules/SKILL.md): Build and operate Python Azure IoT Edge modules with robust messaging, deployment manifests, observability, and production readiness checks.
- [Python Mcp Server Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/python-mcp-server-generator/SKILL.md): Generate a complete MCP server project in Python with tools, resources, and proper configuration
- [Python Pypi Package Builder](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/python-pypi-package-builder/SKILL.md): End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.
- [Qdrant Clients Sdk](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/qdrant-clients-sdk/SKILL.md): Qdrant provides client SDKs for various programming languages, allowing easy integration with Qdrant deployments.
- [Qdrant Deployment Options](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/qdrant-deployment-options/SKILL.md): Guides Qdrant deployment selection. Use when someone asks 'how to deploy Qdrant', 'Docker vs Cloud', 'local mode', 'embedded Qdrant', 'Qdrant EDGE', 'which deployment option', 'self-hosted vs cloud', or 'need lowest latency deployment'. Also use when choosing between deployment types for a new project.
- [Qdrant Model Migration](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/qdrant-model-migration/SKILL.md): Guides embedding model migration in Qdrant without downtime. Use when someone asks 'how to switch embedding models', 'how to migrate vectors', 'how to update to a new model', 'zero-downtime model change', 'how to re-embed my data', or 'can I use two models at once'. Also use when upgrading model dimensions, switching providers, or A/B testing models.
- [Qdrant Monitoring](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/qdrant-monitoring/SKILL.md): Guides Qdrant monitoring and observability setup. Use when someone asks 'how to monitor Qdrant', 'what metrics to track', 'is Qdrant healthy', 'optimizer stuck', 'why is memory growing', 'requests are slow', or needs to set up Prometheus, Grafana, or health checks. Also use when debugging production issues that require metric analysis.
- [Qdrant Performance Optimization](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/qdrant-performance-optimization/SKILL.md): Different techniques to optimize the performance of Qdrant, including indexing strategies, query optimization, and hardware considerations. Use when you want to improve the speed and efficiency of your Qdrant deployment.
- [Qdrant Scaling](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/qdrant-scaling/SKILL.md): Guides Qdrant scaling decisions. Use when someone asks 'how many nodes do I need', 'data doesn't fit on one node', 'need more throughput', 'cluster is slow', 'too many tenants', 'vertical or horizontal', 'how to shard', or 'need to add capacity'.
- [Qdrant Search Quality](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/qdrant-search-quality/SKILL.md): Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'should I use reranking?'. Also use when search quality degrades after quantization, model change, or data growth.
- [Qdrant Version Upgrade](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/qdrant-version-upgrade/SKILL.md): Guidance on how to upgrade your Qdrant version without interrupting the availability of your application and ensuring data integrity.
- [Quality Playbook](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/quality-playbook/SKILL.md): Run a complete quality engineering audit on any codebase. Derives behavioral requirements from the code, generates spec-traced functional tests, runs a three-pass code review with regression tests, executes a multi-model spec audit (Council of Three), and produces a consolidated bug report with TDD-verified patches. Finds the 35% of real defects that structural code review alone cannot catch. Works with any language. Trigger on 'quality playbook', 'spec audit', 'Council of Three', 'fitness-to-purpose', or 'coverage theater'.
- [Quasi Coder](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/quasi-coder/SKILL.md): Expert 10x engineer skill for interpreting and implementing code from shorthand, quasi-code, and natural language descriptions. Use when collaborators provide incomplete code snippets, pseudo-code, or descriptions with potential typos or incorrect terminology. Excels at translating non-technical or semi-technical descriptions into production-quality code.
- [React Audit Grep Patterns](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react-audit-grep-patterns/SKILL.md): Provides the complete, verified grep scan command library for auditing React codebases before a React 18.3.1 or React 19 upgrade. Use this skill whenever running a migration audit - for both the react18-auditor and react19-auditor agents. Contains every grep pattern needed to find deprecated APIs, removed APIs, unsafe lifecycle methods, batching vulnerabilities, test file issues, dependency conflicts, and React 19 specific removals. Always use this skill when writing audit scan commands - do not rely on memory for grep syntax, especially for the multi-line async setState patterns which require context flags.
- [React Container Presentation Component](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react-container-presentation-component/SKILL.md): Create a React component using the Container/Presentation pattern in src/components by asking for the component name and type (ui or features), then scaffold files that follow this repository's TypeScript, Storybook, and SCSS conventions. Use when the user explicitly asks for a Container/Presentation-based component or runs /react-container-presentation-component.
- [React18 Batching Patterns](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-batching-patterns/SKILL.md): Provides exact patterns for diagnosing and fixing automatic batching regressions in React 18 class components. Use this skill whenever a class component has multiple setState calls in an async method, inside setTimeout, inside a Promise .then() or .catch(), or in a native event handler. Use it before writing any flushSync call - the decision tree here prevents unnecessary flushSync overuse. Also use this skill when fixing test failures caused by intermediate state assertions that break after React 18 upgrade.
- [React18 Dep Compatibility](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-dep-compatibility/SKILL.md): React 18.3.1 and React 19 dependency compatibility matrix.
- [React18 Enzyme To Rtl](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-enzyme-to-rtl/SKILL.md): Provides exact Enzyme → React Testing Library migration patterns for React 18 upgrades. Use this skill whenever Enzyme tests need to be rewritten - shallow, mount, wrapper.find(), wrapper.simulate(), wrapper.prop(), wrapper.state(), wrapper.instance(), Enzyme configure/Adapter calls, or any test file that imports from enzyme. This skill covers the full API mapping and the philosophy shift from implementation testing to behavior testing. Always read this skill before rewriting Enzyme tests - do not translate Enzyme APIs 1:1, that produces brittle RTL tests.
- [React18 Legacy Context](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-legacy-context/SKILL.md): Provides the complete migration pattern for React legacy context API (contextTypes, childContextTypes, getChildContext) to the modern createContext API. Use this skill whenever migrating legacy context in class components - this is always a cross-file migration requiring the provider AND all consumers to be updated together. Use it before touching any contextTypes or childContextTypes code, because migrating only the provider without the consumers (or vice versa) will cause a runtime failure. Always read this skill before writing any context migration - the cross-file coordination steps here prevent the most common context migration bugs.
- [React18 Lifecycle Patterns](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-lifecycle-patterns/SKILL.md): Provides exact before/after migration patterns for the three unsafe class component lifecycle methods - componentWillMount, componentWillReceiveProps, and componentWillUpdate - targeting React 18.3.1. Use this skill whenever a class component needs its lifecycle methods migrated, when deciding between getDerivedStateFromProps vs componentDidUpdate, when adding getSnapshotBeforeUpdate, or when fixing React 18 UNSAFE_ lifecycle warnings. Always use this skill before writing any lifecycle migration code - do not guess the pattern from memory, the decision trees here prevent the most common migration mistakes.
- [React18 String Refs](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react18-string-refs/SKILL.md): Provides exact migration patterns for React string refs (ref="name" + this.refs.name) to React.createRef() in class components. Use this skill whenever migrating string ref usage - including single element refs, multiple refs in a component, refs in lists, callback refs, and refs passed to child components. Always use this skill before writing any ref migration code - the multiple-refs-in-list pattern is particularly tricky and this skill prevents the most common mistakes. Use it for React 18.3.1 migration (string refs warn) and React 19 migration (string refs removed).
- [React19 Concurrent Patterns](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react19-concurrent-patterns/SKILL.md): Preserve React 18 concurrent patterns and adopt React 19 APIs (useTransition, useDeferredValue, Suspense, use(), useOptimistic, Actions) during migration.
- [React19 Source Patterns](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react19-source-patterns/SKILL.md): Reference for React 19 source-file migration patterns, including API changes, ref handling, and context updates.
- [React19 Test Patterns](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/react19-test-patterns/SKILL.md): Provides before/after patterns for migrating test files to React 19 compatibility, including act() imports, Simulate removal, and StrictMode call count changes.
- [Readme Blueprint Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/readme-blueprint-generator/SKILL.md): Intelligent README.md generation prompt that analyzes project documentation structure and creates comprehensive repository documentation. Scans .github/copilot directory files and copilot-instructions.md to extract project information, technology stack, architecture, development workflow, coding standards, and testing approaches while generating well-structured markdown documentation with proper formatting, cross-references, and developer-focused content.
- [Refactor](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/refactor/SKILL.md): Surgical code refactoring to improve maintainability without changing behavior. Covers extracting functions, renaming variables, breaking down god functions, improving type safety, eliminating code smells, and applying design patterns. Less drastic than repo-rebuilder; use for gradual improvements.
- [Refactor Method Complexity Reduce](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/refactor-method-complexity-reduce/SKILL.md): Refactor given method `${input:methodName}` to reduce its cognitive complexity to `${input:complexityThreshold}` or below, by extracting helper methods.
- [Refactor Plan](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/refactor-plan/SKILL.md): Create a concrete plan before starting a multi-file refactor. Use when the user asks to plan, sequence, scope, or safely execute a refactor across multiple files; always investigate first, output the plan, and wait for confirmation before making code changes.
- [Remember](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/remember/SKILL.md): Transforms lessons learned into domain-organized memory instructions (global or workspace). Syntax: `/remember [>domain [scope]] lesson clue` where scope is `global` (default), `user`, `workspace`, or `ws`.
- [Remember Interactive Programming](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/remember-interactive-programming/SKILL.md): A micro-prompt that reminds the agent that it is an interactive programmer. Works great in Clojure when Copilot has access to the REPL (probably via Backseat Driver). Will work with any system that has a live REPL that the agent can use. Adapt the prompt with any specific reminders in your workflow and/or workspace.
- [Repo Story Time](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/repo-story-time/SKILL.md): Generate a comprehensive repository summary and narrative story from commit history
- [Resemble Detect](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/resemble-detect/SKILL.md): Deepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AI
- [Review And Refactor](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/review-and-refactor/SKILL.md): Review and refactor code in your project according to defined instructions
- [Reviewing Oracle To Postgres Migration](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/reviewing-oracle-to-postgres-migration/SKILL.md): Identifies Oracle-to-PostgreSQL migration risks by cross-referencing code against known behavioral differences (empty strings, refcursors, type coercion, sorting, timestamps, concurrent transactions, etc.). Use when planning a database migration, reviewing migration artifacts, or validating that integration tests cover Oracle/PostgreSQL differences.
- [Rhino3d Scripts](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/rhino3d-scripts/SKILL.md): Authoring and debugging scripts for Rhinoceros 3D (Rhino 8 and later). Use when asked to write RhinoScript (VBScript / .rvb / .vbs), RhinoPython, or RhinoCommon-based scripts; automate Rhino modeling tasks; build command macros; manipulate Rhino geometry, layers, blocks, or document objects; pick objects from the viewport; control redraw and undo; or load and run scripts from the Rhino Script Editor. Covers `rhinoscriptsyntax`, `scriptcontext`, the `Rhino.*` RhinoCommon namespaces (`Rhino.Geometry`, `Rhino.DocObjects`, `Rhino.Input`, `Rhino.UI`, `Rhino.Display`, `Rhino.FileIO`), and the Rhino 8 unified Script Editor.
- [Roundup](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/roundup/SKILL.md): Generate personalized status briefings on demand. Pulls from your configured data sources (GitHub, email, Teams, Slack, and more), synthesizes across them, and drafts updates in your own communication style for any audience you define.
- [Roundup Setup](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/roundup-setup/SKILL.md): Interactive onboarding that learns your communication style, audiences, and data sources to configure personalized status briefings. Paste in examples of updates you already write, answer a few questions, and roundup calibrates itself to your workflow.
- [Ruby Mcp Server Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ruby-mcp-server-generator/SKILL.md): Generate a complete Model Context Protocol server project in Ruby using the official MCP Ruby SDK gem.
- [Ruff Recursive Fix](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ruff-recursive-fix/SKILL.md): Run Ruff checks with optional scope and rule overrides, apply safe and unsafe autofixes iteratively, review each change, and resolve remaining findings with targeted edits or user decisions.
- [Rust Mcp Server Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/rust-mcp-server-generator/SKILL.md): Generate a complete Rust Model Context Protocol server project with tools, prompts, resources, and tests using the official rmcp SDK
- [Salesforce Apex Quality](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/salesforce-apex-quality/SKILL.md): Apex code quality guardrails for Salesforce development. Enforces bulk-safety rules (no SOQL/DML in loops), sharing model requirements, CRUD/FLS security, SOQL injection prevention, PNB test coverage (Positive / Negative / Bulk), and modern Apex idioms. Use this skill when reviewing or generating Apex classes, trigger handlers, batch jobs, or test classes to catch governor limit risks, security gaps, and quality issues before deployment.
- [Salesforce Component Standards](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/salesforce-component-standards/SKILL.md): Quality standards for Salesforce Lightning Web Components (LWC), Aura components, and Visualforce pages. Covers SLDS 2 compliance, accessibility (WCAG 2.1 AA), data access pattern selection, component communication rules, XSS prevention, CSRF enforcement, FLS/CRUD in AuraEnabled methods, view state management, and Jest test requirements. Use this skill when building or reviewing any Salesforce UI component to enforce platform-specific security and quality standards.
- [Salesforce Flow Design](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/salesforce-flow-design/SKILL.md): Salesforce Flow architecture decisions, flow type selection, bulk safety validation, and fault handling standards. Use this skill when designing or reviewing Record-Triggered, Screen, Autolaunched, Scheduled, or Platform Event flows to ensure correct type selection, no DML/Get Records in loops, proper fault connectors on all data-changing elements, and appropriate automation density checks before deployment.
- [Sandbox Npm Install](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/sandbox-npm-install/SKILL.md): Install npm packages in a Docker sandbox environment. Use this skill whenever you need to install, reinstall, or update node_modules inside a container where the workspace is mounted via virtiofs. Native binaries (esbuild, lightningcss, rollup) crash on virtiofs, so packages must be installed on the local ext4 filesystem and symlinked back.
- [Scaffolding Oracle To Postgres Migration Test Project](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/scaffolding-oracle-to-postgres-migration-test-project/SKILL.md): Scaffolds an xUnit integration test project for validating Oracle-to-PostgreSQL database migration behavior in .NET solutions. Creates the test project, transaction-rollback base class, and seed data manager. Use when setting up test infrastructure before writing migration integration tests, or when a test project is needed for Oracle-to-PostgreSQL validation.
- [Scoutqa Test](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/scoutqa-test/SKILL.md): This skill should be used when the user asks to "test this website", "run exploratory testing", "check for accessibility issues", "verify the login flow works", "find bugs on this page", or requests automated QA testing. Triggers on web application testing scenarios including smoke tests, accessibility audits, e-commerce flows, and user flow validation using ScoutQA CLI. Use this skill proactively after implementing web application features to verify they work correctly.
- [Screen Recording](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/screen-recording/SKILL.md): Create annotated animated GIF demos and screen recordings for pull requests and documentation. Covers frame capture, timing, imageio-based GIF creation, and per-frame annotation workflows.
- [Secret Scanning](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/secret-scanning/SKILL.md): Guide for configuring and managing GitHub secret scanning, push protection, custom patterns, and secret alert remediation. For pre-commit secret scanning in AI coding agents via the GitHub MCP Server, this skill references the Advanced Security plugin (`advanced-security@copilot-plugins`). Use this skill when enabling secret scanning, setting up push protection, defining custom patterns, triaging alerts, resolving blocked pushes, or when an agent needs to scan code for secrets before committing.
- [Security Review](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/security-review/SKILL.md): AI-powered codebase security scanner that reasons about code like a security researcher — tracing data flows, understanding component interactions, and catching vulnerabilities that pattern-matching tools miss. Use this skill when asked to scan code for security vulnerabilities, find bugs, check for SQL injection, XSS, command injection, exposed API keys, hardcoded secrets, insecure dependencies, access control issues, or any request like "is my code secure?", "review for security issues", "audit this codebase", or "check for vulnerabilities". Covers injection flaws, authentication and access control bugs, secrets exposure, weak cryptography, insecure dependencies, and business logic issues across JavaScript, TypeScript, Python, Java, PHP, Go, Ruby, and Rust.
- [Semantic Kernel](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/semantic-kernel/SKILL.md): Create, update, refactor, explain, or review Semantic Kernel solutions using shared guidance plus language-specific references for .NET and Python.
- [Shuffle Json Data](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/shuffle-json-data/SKILL.md): Shuffle repetitive JSON objects safely by validating schema consistency before randomising entries.
- [Slang Shader Engineer](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/slang-shader-engineer/SKILL.md): Use when working with Slang shaders, shader modules, HLSL-compatible GPU code, graphics pipelines, compute shaders, tessellation, ray tracing, parameter blocks, generics, interfaces, capabilities, cross-compilation, shader optimization, shader review, or C++ engine integration for Slang. Trigger on any mention of Slang, .slang files, slangc, SPIR-V from Slang, Slang modules, [shader("compute")], [shader("vertex")], or requests to write/review/refactor shader code with modern language features. Also trigger for Slang-to-HLSL/GLSL/Metal/CUDA cross-compile questions, or when the user says "shader" alongside "generics", "interfaces", "parameter blocks", "autodiff", or "capabilities".
- [Snowflake Semanticview](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/snowflake-semanticview/SKILL.md): Create, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.
- [Sponsor Finder](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/sponsor-finder/SKILL.md): Find which of a GitHub repository's dependencies are sponsorable via GitHub Sponsors. Uses deps.dev API for dependency resolution across npm, PyPI, Cargo, Go, RubyGems, Maven, and NuGet. Checks npm funding metadata, FUNDING.yml files, and web search. Verifies every link. Shows direct and transitive dependencies with OSSF Scorecard health data. Invoke with /sponsor followed by a GitHub owner/repo (e.g. "/sponsor expressjs/express").
- [Spring Boot Testing](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/spring-boot-testing/SKILL.md): Expert Spring Boot 4 testing specialist that selects the best Spring Boot testing techniques for your situation with Junit 6 and AssertJ.
- [Sql Code Review](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/sql-code-review/SKILL.md): Universal SQL code review assistant that performs comprehensive security, maintainability, and code quality analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Focuses on SQL injection prevention, access control, code standards, and anti-pattern detection. Complements SQL optimization prompt for complete development coverage.
- [Sql Optimization](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/sql-optimization/SKILL.md): Universal SQL performance optimization assistant for comprehensive query tuning, indexing strategies, and database performance analysis across all SQL databases (MySQL, PostgreSQL, SQL Server, Oracle). Provides execution plan analysis, pagination optimization, batch operations, and performance monitoring guidance.
- [Sql Server Table Reconciliation](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/sql-server-table-reconciliation/SKILL.md): Use when: comparing SQL Server tables across instances, data migration validation, ETL verification, row mismatch detection, schema drift, reconciliation report, production vs staging comparison. Uses mssql-python driver with Apache Arrow for fast columnar data transfer and comparison.
- [Ssma Console](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ssma-console/SKILL.md): Use when: SSMA console operations — create project, generate assessment report, convert schema, migrate data, Oracle to SQL Server migration, schema conversion, data migration
- [Structured Autonomy Generate](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/structured-autonomy-generate/SKILL.md): Structured Autonomy Implementation Generator Prompt
- [Structured Autonomy Implement](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/structured-autonomy-implement/SKILL.md): Structured Autonomy Implementation Prompt
- [Structured Autonomy Plan](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/structured-autonomy-plan/SKILL.md): Structured Autonomy Planning Prompt
- [Suggest Awesome Github Copilot Agents](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/suggest-awesome-github-copilot-agents/SKILL.md): Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.
- [Suggest Awesome Github Copilot Instructions](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/suggest-awesome-github-copilot-instructions/SKILL.md): Suggest relevant GitHub Copilot instruction files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing instructions in this repository, and identifying outdated instructions that need updates.
- [Suggest Awesome Github Copilot Skills](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/suggest-awesome-github-copilot-skills/SKILL.md): Suggest relevant GitHub Copilot skills from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.
- [Swift Mcp Server Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/swift-mcp-server-generator/SKILL.md): Generate a complete Model Context Protocol server project in Swift using the official MCP Swift SDK package.
- [Technology Stack Blueprint Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/technology-stack-blueprint-generator/SKILL.md): Comprehensive technology stack blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically detects technology stacks, programming languages, and implementation patterns across multiple platforms (.NET, Java, JavaScript, React, Python). Generates configurable blueprints with version information, licensing details, usage patterns, coding conventions, and visual diagrams. Provides implementation-ready templates and maintains architectural consistency for guided development.
- [Terraform Azurerm Set Diff Analyzer](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/terraform-azurerm-set-diff-analyzer/SKILL.md): Analyze Terraform plan JSON output for AzureRM Provider to distinguish between false-positive diffs (order-only changes in Set-type attributes) and actual resource changes. Use when reviewing terraform plan output for Azure resources like Application Gateway, Load Balancer, Firewall, Front Door, NSG, and other resources with Set-type attributes that cause spurious diffs due to internal ordering changes.
- [Threat Model Analyst](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/threat-model-analyst/SKILL.md): Full STRIDE-A threat model analysis and incremental update skill for repositories and systems. Supports two modes: (1) Single analysis — full STRIDE-A threat model of a repository, producing architecture overviews, DFD diagrams, STRIDE-A analysis, prioritized findings, and executive assessments. (2) Incremental analysis — takes a previous threat model report as baseline, compares the codebase at the latest (or a given commit), and produces an updated report with change tracking (new, resolved, still-present threats), STRIDE heatmap, findings diff, and an embedded HTML comparison. Only activate when the user explicitly requests a threat model analysis, incremental update, or invokes /threat-model-analyst directly.
- [Tldr Prompt](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/tldr-prompt/SKILL.md): Create tldr summaries for GitHub Copilot files (prompts, agents, instructions, collections), MCP servers, or documentation from URLs and queries.
- [Transloadit Media Processing](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/transloadit-media-processing/SKILL.md): Process media files (video, audio, images, documents) using Transloadit. Use when asked to encode video to HLS/MP4, generate thumbnails, resize or watermark images, extract audio, concatenate clips, add subtitles, OCR documents, or run any media processing pipeline. Covers 86+ processing robots for file transformation at scale.
- [Typescript Mcp Server Generator](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/typescript-mcp-server-generator/SKILL.md): Generate a complete MCP server project in TypeScript with tools, resources, and proper configuration
- [Typespec Api Operations](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/typespec-api-operations/SKILL.md): Add GET, POST, PATCH, and DELETE operations to a TypeSpec API plugin with proper routing, parameters, and adaptive cards
- [Typespec Create Agent](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/typespec-create-agent/SKILL.md): Generate a complete TypeSpec declarative agent with instructions, capabilities, and conversation starters for Microsoft 365 Copilot
- [Typespec Create Api Plugin](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/typespec-create-api-plugin/SKILL.md): Generate a TypeSpec API plugin with REST operations, authentication, and Adaptive Cards for Microsoft 365 Copilot
- [Ui Screenshots](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/ui-screenshots/SKILL.md): Capture screenshots of web apps during development using Playwright and PIL. Supports full-page captures, interactive states, and an iterate-on-crop workflow that avoids slow re-screenshots.
- [Unit Test Vue Pinia](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/unit-test-vue-pinia/SKILL.md): Write and review unit tests for Vue 3 + TypeScript + Vitest + Pinia codebases. Use when creating or updating tests for components, composables, and stores; mocking Pinia with createTestingPinia; applying Vue Test Utils patterns; and enforcing black-box assertions over implementation details.
- [Update Avm Modules In Bicep](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/update-avm-modules-in-bicep/SKILL.md): Update Azure Verified Modules (AVM) to latest versions in Bicep files.
- [Update Implementation Plan](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/update-implementation-plan/SKILL.md): Update an existing implementation plan file with new or update requirements to provide new features, refactoring existing code or upgrading packages, design, architecture or infrastructure.
- [Update Llms](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/update-llms/SKILL.md): Update the llms.txt file in the root folder to reflect changes in documentation or specifications following the llms.txt specification at https://llmstxt.org/
- [Update Markdown File Index](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/update-markdown-file-index/SKILL.md): Update a markdown file section with an index/table of files from a specified folder.
- [Update Specification](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/update-specification/SKILL.md): Update an existing specification file for the solution, optimized for Generative AI consumption based on new requirements or updates to any existing code.
- [Vardoger Analyze](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/vardoger-analyze/SKILL.md): Use when the user asks to personalize the GitHub Copilot CLI assistant, adapt Copilot to their style, use vardoger, or analyze their Copilot CLI conversation history. Reads the local session directory at `~/.copilot/session-state/`, extracts recurring preferences and conventions, and writes a fenced personalization block into `~/.copilot/copilot-instructions.md`. Runs entirely on the user's machine via the local `vardoger` CLI (`pipx install vardoger`); no network calls and no uploads. Triggers: 'personalize my copilot', 'analyze my copilot history', 'tailor copilot to me', 'run vardoger', 'update my copilot instructions from history', 'make copilot learn my style'.
- [Vscode Ext Commands](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/vscode-ext-commands/SKILL.md): Guidelines for contributing commands in VS Code extensions. Indicates naming convention, visibility, localization and other relevant attributes, following VS Code extension development guidelines, libraries and good practices
- [Vscode Ext Localization](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/vscode-ext-localization/SKILL.md): Guidelines for proper localization of VS Code extensions, following VS Code extension development guidelines, libraries and good practices
- [Web Design Reviewer](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/web-design-reviewer/SKILL.md): This skill enables visual inspection of websites running locally or remotely to identify and fix design issues. Triggers on requests like "review website design", "check the UI", "fix the layout", "find design problems". Detects issues with responsive design, accessibility, visual consistency, and layout breakage, then performs fixes at the source code level.
- [Webapp Testing](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/webapp-testing/SKILL.md): Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.
- [What Context Needed](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/what-context-needed/SKILL.md): Ask Copilot what files it needs to see before answering a question
- [Winmd Api Search](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/winmd-api-search/SKILL.md): Find and explore Windows desktop APIs. Use when building features that need platform capabilities — camera, file access, notifications, UI controls, AI/ML, sensors, networking, etc. Discovers the right API for a task and retrieves full type details (methods, properties, events, enumeration values).
- [Winui3 Migration Guide](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/winui3-migration-guide/SKILL.md): UWP-to-WinUI 3 migration reference. Maps legacy UWP APIs to correct Windows App SDK equivalents with before/after code snippets. Covers namespace changes, threading (CoreDispatcher to DispatcherQueue), windowing (CoreWindow to AppWindow), dialogs, pickers, sharing, printing, background tasks, and the most common Copilot code generation mistakes.
- [Workiq Copilot](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/workiq-copilot/SKILL.md): Guides the Copilot CLI on how to use the WorkIQ CLI/MCP server to query Microsoft 365 Copilot data (emails, meetings, docs, Teams, people) for live context, summaries, and recommendations.
- [Write Coding Standards From File](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/write-coding-standards-from-file/SKILL.md): Write a coding standards document for a project using the coding styles from the file(s) and/or folder(s) passed as arguments in the prompt.
- [X Twitter Scraper](https://raw.githubusercontent.com/github/awesome-copilot/main/skills/x-twitter-scraper/SKILL.md): Build GitHub Copilot workflows with Xquik X API SDKs, REST endpoints, MCP tools, signed webhooks, tweet search, user lookup, follower exports, media actions, and agent automation.

## Documentation

- [README.md](https://raw.githubusercontent.com/github/awesome-copilot/main/README.md): Main documentation and getting started guide
- [CONTRIBUTING.md](https://raw.githubusercontent.com/github/awesome-copilot/main/CONTRIBUTING.md): Guidelines for contributing to this repository
- [CODE_OF_CONDUCT.md](https://raw.githubusercontent.com/github/awesome-copilot/main/CODE_OF_CONDUCT.md): Community standards and expectations
- [SECURITY.md](https://raw.githubusercontent.com/github/awesome-copilot/main/SECURITY.md): Security policies and reporting
- [AGENTS.md](https://raw.githubusercontent.com/github/awesome-copilot/main/AGENTS.md): Project overview and setup commands

## Repository

- **GitHub**: https://github.com/github/awesome-copilot
- **License**: MIT
- **Website**: https://awesome-copilot.github.com