Suggest Awesome GitHub Copilot Skills

Analyze current repository context and suggest relevant Agent Skills from the GitHub awesome-copilot repository that are not already available in this repository. Agent Skills are self-contained folders located in the skills folder of the awesome-copilot repository, each containing a SKILL.md file with instructions and optional bundled assets.

Process

1. Fetch Available Skills: Extract skills list and descriptions from awesome-copilot README.skills.md. Must use #fetch tool.
2. Scan Local Skills: Discover existing skill folders in .github/skills/ folder
3. Extract Descriptions: Read front matter from local SKILL.md files to get name and description
4. Fetch Remote Versions: For each local skill, fetch the corresponding SKILL.md from awesome-copilot repository using raw GitHub URLs (e.g., https://raw.githubusercontent.com/github/awesome-copilot/main/skills/<skill-name>/SKILL.md)
5. Compare Versions: Compare local skill content with remote versions to identify:
   • Skills that are up-to-date (exact match)
   • Skills that are outdated (content differs)
   • Key differences in outdated skills (description, instructions, bundled assets)
6. Analyze Context: Review chat history, repository files, and current project needs
7. Compare Existing: Check against skills already available in this repository
8. Match Relevance: Compare available skills against identified patterns and requirements
9. Present Options: Display relevant skills with descriptions, rationale, and availability status including outdated skills
10. Validate: Ensure suggested skills would add value not already covered by existing skills
11. Output: Provide structured table with suggestions, descriptions, and links to both awesome-copilot skills and similar local skills AWAIT user request to proceed with installation or updates of specific skills. DO NOT INSTALL OR UPDATE UNLESS DIRECTED TO DO SO.
12. Download/Update Assets: For requested skills, automatically:
    • Download new skills to .github/skills/ folder, preserving the folder structure
    • Update outdated skills by replacing with latest version from awesome-copilot
    • Download both SKILL.md and any bundled assets (scripts, templates, data files)
    • Do NOT adjust content of the files
    • Use #fetch tool to download assets, but may use curl using #runInTerminal tool to ensure all content is retrieved
    • Use #todos tool to track progress

Context Analysis Criteria

🔍 Repository Patterns:

• Programming languages used (.cs, .js, .py, .ts, etc.)
• Framework indicators (ASP.NET, React, Azure, Next.js, etc.)
• Project types (web apps, APIs, libraries, tools, infrastructure)
• Development workflow requirements (testing, CI/CD, deployment)
• Infrastructure and cloud providers (Azure, AWS, GCP)

🗨️ Chat History Context:

• Recent discussions and pain points
• Feature requests or implementation needs
• Code review patterns
• Development workflow requirements
• Specialized task needs (diagramming, evaluation, deployment)

Output Format

Display analysis results in structured table comparing awesome-copilot skills with existing repository skills:

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