By microsoft
Generate complete AI-powered wiki sites from git repositories as dark-mode VitePress static sites with Mermaid diagrams, source citations, hierarchical catalogues, audience-tailored onboarding guides, changelogs, deep research reports, and codebase Q&A. Export to Azure DevOps Wiki or deploy via GitHub Actions to Pages.
Generate a Node.js build script that converts the VitePress wiki to Azure DevOps Wiki-compatible markdown in dist/ado-wiki/. Transforms Mermaid syntax, strips front matter, fixes links.
Generate AGENTS.md files for pertinent repository folders — only where missing. Provides coding agents with build commands, testing instructions, code style, project structure, and boundaries.
Ask a question about the repository using wiki context and source file references
Package generated wiki pages into a VitePress site with dark theme, dark-mode Mermaid diagrams, and click-to-zoom
Generate only the hierarchical wiki structure (table of contents) as JSON for the current repository
Technical documentation architect that analyzes repositories and generates structured wiki catalogues with onboarding guides
Expert code analyst conducting systematic deep research with zero tolerance for shallow analysis — traces actual code paths and grounds every claim in evidence
Senior documentation engineer that generates wiki pages with rich dark-mode Mermaid diagrams, deep code citations, VitePress-compatible output, and validation
Converts VitePress/GFM wiki markdown to Azure DevOps Wiki-compatible format. Generates a Node.js build script that transforms Mermaid syntax, strips front matter, fixes links, and outputs ADO-compatible copies to dist/ado-wiki/.
Generates AGENTS.md files for repository folders — coding agent context files with build commands, testing instructions, code style, project structure, and boundaries. Only generates where AGENTS.md is missing.
Analyzes code repositories and generates hierarchical documentation structures with onboarding guides. Use when the user wants to create a wiki, generate documentation, map a codebase structure, or understand a project's architecture at a high level.
Analyzes git commit history and generates structured changelogs categorized by change type. Use when the user asks about recent changes, wants a changelog, or needs to understand what changed in the repository.
Generates llms.txt and llms-full.txt files for LLM-friendly project documentation following the llms.txt specification. Use when the user wants to create LLM-readable summaries, llms.txt files, or make their wiki accessible to language models.
Uses power tools
Uses Bash, Write, or Edit tools
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[!NOTE] Work in Progress — This repository is under active development. More skills are being added, existing skills are being updated to use the latest SDK patterns, and tests are being expanded to ensure quality. Contributions welcome!
Skills, custom agents, AGENTS.md templates, and MCP configurations for AI coding agents working with Azure SDKs and Microsoft AI Foundry.
Blog post: Context-Driven Development: Agent Skills for Microsoft Foundry and Azure
🔍 Skill Explorer: Browse all 132 skills with 1-click install
npx skills add microsoft/skills
Select the skills you need from the wizard. Skills are installed to your chosen agent's directory (e.g., .github/skills/ for GitHub Copilot) and symlinked if you use multiple agents.
Manual installation (git clone)
# Clone and copy specific skills
git clone https://github.com/microsoft/skills.git
cp -r agent-skills/.github/skills/azure-cosmos-db-py your-project/.github/skills/
# Or use symlinks for multi-project setups
ln -s /path/to/agent-skills/.github/skills/mcp-builder /path/to/your-project/.github/skills/mcp-builder
# Share skills across different agent configs in the same repo
ln -s ../.github/skills .opencode/skills
ln -s ../.github/skills .claude/skills
Coding agents like Copilot CLI and GitHub Copilot in VS Code are powerful, but they lack domain knowledge about your SDKs. The patterns are already in their weights from pretraining. All you need is the right activation context to surface them.
[!IMPORTANT] Use skills selectively. Loading all skills causes context rot: diluted attention, wasted tokens, conflated patterns. Only copy skills essential for your current project.

| Resource | Description |
|---|---|
| 128 Skills | Domain-specific knowledge for Azure SDK and Foundry development |
| Plugins | Installable plugin packages (deep-wiki, azure-skills and more) |
| Custom Agents | Role-specific agents (backend, frontend, infrastructure, planner) |
| AGENTS.md | Template for configuring agent behavior in your projects |
| MCP Configs | Pre-configured servers for docs, GitHub, browser automation |
| Documentation | Repo docs and usage guides |
132 skills in
.github/skills/— flat structure with language suffixes for automatic discovery
| Language | Count | Suffix |
|---|---|---|
| Core | 9 | — |
| Python | 41 | -py |
| .NET | 28 | -dotnet |
| TypeScript | 25 | -ts |
| Java | 25 | -java |
| Rust | 7 | -rust |
9 skills — tooling, infrastructure, language-agnostic
npx claudepluginhub microsoft/skills --plugin deep-wikiTurn your coding agent into a SOTA browser agent. Drives a local Playwright workspace via one bash command at a time, saving screenshots and an action log into final_runs/run_<id>/, and visually self-verifies the result.
AGT governance hooks and MCP tools for Claude Code sessions
Azure SDK patterns and best practices for Java developers covering AI, communication, storage, identity, monitoring, and management libraries.
Azure SDK patterns and best practices for Rust developers covering identity, Key Vault, storage, Cosmos DB, and Event Hubs.
Azure SDK patterns and best practices for Python developers covering AI, storage, identity, monitoring, messaging, and management libraries.
한국어 기술 문서 작성 스킬
Slash-command skill that reviews any SKILL.md against best practices and outputs a structured pass/fail report
Local wiki-style document generator for Claude Code
Portable skills library with output styles: documentation lookup, GitHub operations, dependency intelligence, UI/UX patterns, and skill crafting
Efficient skill management system with progressive discovery — 410+ production-ready skills across 33+ domains
Document set management as wikis - 7 skills, 4 commands, 2 agents for architecture, derivation, consistency, evolution, and governance of multi-document collections