agentleFS
arcobaleno64arcobaleno64/council-forge/.github/skills/suggest-awesome-github-copilot-skills/SKILL.md

suggest-awesome-github-copilot-skills

Skill0 starsChanged 6 months agoMITView on GitHub

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repository context and chat history, avoiding duplicates with existing skills in this repository, and identifying outdated skills that need updates.

2 other projects use a version of this.

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The file

Show its rules and text

We split this skill into the rules it gives an agent

18 rules. About 0 are common, 11 are distinctive, and 7 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈11

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 7

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Extract Descriptions: Read front matter from local SKILL.md files to get name and description

    line 14
  2. Distinctive:

    Compare Existing: Check against skills already available in this repository

    line 21
  3. Distinctive:

    Validate: Ensure suggested skills would add value not already covered by existing skills

    line 24
  4. Distinctive:

    Update outdated skills by replacing with latest version from awesome-copilot

    line 29
  5. Distinctive:

    Do NOT adjust content of the files

    line 31
  6. Very specific:

    Use #fetch tool to download assets, but may use curl using #runInTerminal tool to ensure all content is retrieved

    line 32
  7. Very specific:

    Use #todos tool to track progress

    line 33
  8. Distinctive:

    Use this inventory to avoid suggesting duplicates

    line 67
  9. Distinctive:

    Document key differences for outdated skills

    line 79
  10. Very specific:

    Use fetch tool to get content from awesome-copilot repository skills documentation

    line 102
  11. Very specific:

    Use githubRepo tool to get individual skill content for download

    line 103
  12. Very specific:

    Read YAML front matter from local SKILL.md files to extract names and descriptions

    line 105
  13. Distinctive:

    Consider bundled asset requirements and compatibility

    line 113
  14. Distinctive:

    Don't provide any additional information or context beyond the table and the analysis

    line 114
  15. Distinctive:

    When outdated skills are identified:

    line 124
  16. Distinctive:

    Document specific differences in the "Suggestion Rationale" column

    line 126
  17. Distinctive:

    When user requests update, replace entire local skill folder with remote version

    line 128
  18. Very specific:

    Ensure all bundled assets are downloaded alongside the updated SKILL.md

    line 130

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

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:

Awesome-Copilot SkillDescriptionBundled AssetsAlready InstalledSimilar Local SkillSuggestion Rationale
gh-cliGitHub CLI skill for managing repositories and workflowsNone❌ NoNoneWould enhance GitHub workflow automation capabilities
aspireAspire skill for distributed application development9 reference files✅ YesaspireAlready covered by existing Aspire skill
terraform-azurerm-set-diff-analyzerAnalyze Terraform AzureRM provider changesReference files⚠️ Outdatedterraform-azurerm-set-diff-analyzerInstructions updated with new validation patterns - Update recommended

Local Skills Discovery Process

  1. List all folders in .github/skills/ directory
  2. For each folder, read SKILL.md front matter to extract name and description
  3. List any bundled assets within each skill folder
  4. Build comprehensive inventory of existing skills with their capabilities
  5. Use this inventory to avoid suggesting duplicates

Version Comparison Process

  1. For each local skill folder, construct the raw GitHub URL to fetch the remote SKILL.md:
    • Pattern: https://raw.githubusercontent.com/github/awesome-copilot/main/skills/<skill-name>/SKILL.md
  2. Fetch the remote version using the #fetch tool
  3. Compare entire file content (including front matter and body)
  4. Identify specific differences:
    • Front matter changes (name, description)
    • Instruction updates (guidelines, examples, best practices)
    • Bundled asset changes (new, removed, or modified assets)
  5. Document key differences for outdated skills
  6. Calculate similarity to determine if update is needed

Skill Structure Requirements

Based on the Agent Skills specification, each skill is a folder containing:

  • SKILL.md: Main instruction file with front matter (name, description) and detailed instructions
  • Optional bundled assets: Scripts, templates, reference data, and other files referenced from SKILL.md
  • Folder naming: Lowercase with hyphens (e.g., azure-deployment-preflight)
  • Name matching: The name field in SKILL.md front matter must match the folder name

Front Matter Structure

Skills in awesome-copilot use this front matter format in SKILL.md:

---
name: 'skill-name'
description: 'Brief description of what this skill provides and when to use it'
---

Requirements

  • Use fetch tool to get content from awesome-copilot repository skills documentation
  • Use githubRepo tool to get individual skill content for download
  • Scan local file system for existing skills in .github/skills/ directory
  • Read YAML front matter from local SKILL.md files to extract names and descriptions
  • Compare local skills with remote versions to detect outdated skills
  • Compare against existing skills in this repository to avoid duplicates
  • Focus on gaps in current skill library coverage
  • Validate that suggested skills align with repository's purpose and technology stack
  • Provide clear rationale for each suggestion
  • Include links to both awesome-copilot skills and similar local skills
  • Clearly identify outdated skills with specific differences noted
  • Consider bundled asset requirements and compatibility
  • Don't provide any additional information or context beyond the table and the analysis

Icons Reference

  • ✅ Already installed and up-to-date
  • ⚠️ Installed but outdated (update available)
  • ❌ Not installed in repo

Update Handling

When outdated skills are identified:

  1. Include them in the output table with ⚠️ status
  2. Document specific differences in the "Suggestion Rationale" column
  3. Provide recommendation to update with key changes noted
  4. When user requests update, replace entire local skill folder with remote version
  5. Preserve folder location in .github/skills/ directory
  6. Ensure all bundled assets are downloaded alongside the updated SKILL.md

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