suggest-awesome-github-copilot-skills

作成者: github

現在のリポジトリコンテキストとチャット履歴に基づいて、awesome-copilotリポジトリから関連するGitHub Copilotスキルを提案し、重複を避けます…

npx skills add https://github.com/github/awesome-copilot --skill suggest-awesome-github-copilot-skills

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    • Skills that are outdated (content differs)
    • Key differences in outdated skills (description, instructions, bundled assets)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 Present Options: Display relevant skills with descriptions, rationale, and availability status including outdated skills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    • Update outdated skills by replacing with latest version from awesome-copilot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

githubのその他のスキル

console-rendering
github
Goにおける構造体タグベースのコンソールレンダリングシステムの使用手順
official
acquire-codebase-knowledge
github
ユーザーが既存のコードベースのマッピング、ドキュメント化、またはオンボーディングを明示的に依頼した場合にこのスキルを使用します。「このコードベースをマッピングして」「ドキュメント化して…」といったプロンプトで起動します。
official
acreadiness-assess
github
Run the AgentRC readiness assessment on the current repository and produce a static HTML dashboard at reports/index.html. Wraps `npx github:microsoft/agentrc…
official
acreadiness-generate-instructions
github
AgentRCのinstructionsコマンドを使用して、カスタマイズされたAIエージェント指示ファイルを生成します。.github/copilot-instructions.md(デフォルト、VS CodeのCopilotに推奨)を出力します…
official
acreadiness-policy
github
ユーザーがAgentRCポリシーを選択、作成、または適用するのを支援します。ポリシーは、関連性のないチェックを無効にしたり、影響度/レベルを上書きしたり、設定することで、レディネススコアリングをカスタマイズします。
official
add-educational-comments
github
コードファイルに教育的なコメントを追加し、効果的な学習リソースに変換します。説明の深さとトーンを、設定可能な3つの知識レベル(初心者、中級、上級)に適応させます。ファイルが提供されない場合は自動的にリクエストし、番号付きリストで素早く選択できます。教育的なコメントのみを使用してファイルを最大125%拡張します(ハードリミット:新しい行400行、1,000行を超えるファイルは300行)。ファイルのエンコーディング、インデントスタイル、構文の正確性を保持し、...
official
adobe-illustrator-scripting
github
ExtendScript(JavaScript/JSX)を使用して、Adobe Illustratorの自動化スクリプトの作成、デバッグ、最適化を行います。スクリプトを作成または修正して操作する際に使用します…
official
agent-governance
github
宣言的なポリシー、意図分類、および監査証跡により、AIエージェントのツールアクセスと動作を制御します。構成可能なガバナンスポリシーは、許可/ブロックされたツール、コンテンツフィルター、レート制限、承認要件を定義し、コードではなく設定として保存されます。セマンティック意図分類は、パターンベースのシグナルを使用して、ツール実行前に危険なプロンプト(データ流出、権限昇格、プロンプトインジェクション)を検出します。ツールレベルのガバナンスデコレーターは、関数にポリシーを適用します...
official