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published by github
50 tools
- GitHubConnect your AI agents to GitHub — manage repos, issues, PRs, workflows, and more
- githubGitHub's official MCP Server34,116 stars
- agentic-workflowsgithub/awesome-copilot · skills.sh40,621 stars
- code-reviewgithub/awesome-copilot · skills.sh40,621 stars
- create-github-pull-request-from-specificationCreate GitHub Pull Request for feature request from specification file using pull_request_template.md template.40,621 stars
- create-oo-component-documentationCreate comprehensive, standardized documentation for object-oriented components following industry best practices and architectural document40,621 stars
- create-web-formCreate robust, accessible web forms with best practices for HTML structure, CSS styling, JavaScript interactivity, form validation, and serv40,621 stars
- csharp-mcp-server-generatorGenerate a complete MCP server project in C# with tools, prompts, and proper configuration40,621 stars
- gh-cliGitHub CLI (gh) comprehensive reference for repositories, issues, pull requests, Actions, projects, releases, gists, codespaces, organizatio40,621 stars
- make-skill-templateCreate new Agent Skills for GitHub Copilot from prompts or by duplicating this template. Use when asked to "create a skill", "make a new ski40,621 stars
- mcp-configureConfigure an MCP server for GitHub Copilot with your Dataverse environment.40,621 stars
- model-recommendationAnalyze chatmode or prompt files and recommend optimal AI models based on task complexity, required capabilities, and cost-efficiency40,621 stars
- my-issuesList my issues in the current repository40,621 stars
- my-pull-requestsList my pull requests in the current repository40,621 stars
- polyglot-test-agentGenerates comprehensive, workable unit tests for any programming language using a multi-agent pipeline. Use when asked to generate tests, wr40,621 stars
- prompt-builderGuide users through creating high-quality GitHub Copilot prompts with proper structure, tools, and best practices.40,621 stars
- acquire-codebase-knowledgeUse this skill when the user explicitly asks to map, document, or onboard into an existing codebase. Trigger for prompts like "map this code40,621 stars
- acreadiness-assessRun the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:40,621 stars
- acreadiness-generate-instructionsGenerate tailored AI agent instruction files via AgentRC instructions command. Produces .github/copilot-instructions.md (default, recommende40,621 stars
- acreadiness-policyHelp the user pick, write, or apply an AgentRC policy. Policies customise readiness scoring by disabling irrelevant checks, overriding impac40,621 stars
- ad-campaign-analyzerUse this skill when the user shares ad campaign performance data and asks what to cut, scale, or test. Trigger for prompts like "analyze my 40,621 stars
- add-educational-commentsAdd educational comments to the file specified, or prompt asking for file to comment if one is not provided.40,621 stars
- adobe-illustrator-scriptingWrite, debug, and optimize Adobe Illustrator automation scripts using ExtendScript (JavaScript/JSX). Use when creating or modifying scripts 40,621 stars
- agent-architectureDesign AI agent architectures through requirements discovery, or audit and diagnose architectural flaws in existing agents. Architecture onl40,621 stars
- agent-governancePatterns and techniques for adding governance, safety, and trust controls to AI agent systems. Use this skill when: - Building AI agents tha40,621 stars
- agent-owasp-complianceCheck any AI agent codebase against the OWASP Agentic Security Initiative (ASI) Top 10 risks. Use this skill when: - Evaluating an agent sys40,621 stars
- agent-skill-stackFind, evaluate, and assemble the smallest compatible set of AI Agent Skills for an end-to-end natural-language goal. Use when a user wants S40,621 stars
- agent-supply-chainVerify supply chain integrity for AI agent plugins, tools, and dependencies. Use this skill when: - Generating SHA-256 integrity manifests f40,621 stars
- agentic-evalPatterns and techniques for evaluating and improving AI agent outputs. Use this skill when: - Implementing self-critique and reflection loop40,621 stars
- ai-prompt-engineering-safety-reviewComprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and e40,621 stars
- ai-readyMake any repo AI-ready — analyzes your codebase and generates AGENTS.md, copilot-instructions.md, CI workflows, issue templates, and more. M40,621 stars
- ai-team-orchestrationBootstrap and run a lightweight multi-agent development team. Use when starting or adopting a project, planning work, coordinating implement40,621 stars
- anti-ui-slopStop coding agents from shipping generic UI. Use UIZZE's 800,000+ real web and iOS screens to build product-specific interfaces, define a de40,621 stars
- api-breaking-change-detectorCross-references C# Web API controllers/DTOs against their TypeScript/JavaScript consumers (React, Angular, Vue, Svelte, Node.js, or hand-wr40,621 stars
- appinsights-instrumentationInstrument a webapp to send useful telemetry data to Azure App Insights40,621 stars
- apple-appstore-reviewerServes as a reviewer of the codebase with instructions on looking for Apple App Store optimizations or rejection reasons.40,621 stars
- arch-linux-triageTriage and resolve Arch Linux issues with pacman, systemd, and rolling-release best practices.40,621 stars
- architecture-blueprint-generatorComprehensive project architecture blueprint generator that analyzes codebases to create detailed architectural documentation. Automatically40,621 stars
- arduino-azure-iot-edge-integrationDesign and implement Arduino integration with Azure IoT Hub and IoT Edge, including secure provisioning, resilient telemetry, command handli40,621 stars
- arize-ai-provider-integrationCreates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. 40,621 stars
- arize-annotationCreates and manages annotation configs (categorical, continuous, freeform label schemas) and annotation queues (human review workflows) on A40,621 stars
- arize-datasetCreates, manages, and queries Arize datasets and examples. Covers dataset CRUD, appending examples, exporting data, and file-based dataset c40,621 stars
- arize-evaluatorHandles LLM-as-judge evaluation workflows on Arize including creating/updating evaluators, running evaluations on spans or experiments, mana40,621 stars
- arize-experimentCreates, runs, and analyzes Arize experiments for evaluating and comparing model performance. Covers experiment CRUD, exporting runs, compar40,621 stars
- arize-instrumentationAdds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then impleme40,621 stars
- arize-linkGenerates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces cl40,621 stars
- arize-prompt-optimizationOptimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers 40,621 stars
- arize-traceDownloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers expo40,621 stars
- aspireAspire skill covering the Aspire CLI, AppHost orchestration, service discovery, integrations, MCP server, VS Code extension, Dev Containers,40,621 stars
- aspnet-minimal-api-openapiCreate ASP.NET Minimal API endpoints with proper OpenAPI documentation40,621 stars
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