Source profileQuality 77/100

github/awesome-copilot/skills/suggest-awesome-github-copilot-agents/SKILL.md

suggest-awesome-github-copilot-agents

Suggest relevant GitHub Copilot Custom Agents files from the awesome-copilot repository based on current repository context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

Source repository stars
37,126
Declared platforms
0
Static risk flags
3
Last source update
2026-07-28
Source checked
2026-07-28

Decision brief

What it does—and where it fits

Analyze current repository context and suggest relevant Custom Agents files from the GitHub awesome-copilot repository that are not already available in this repository. Custom Agent files are located in the agents folder of the awesome-copilot repository.

Best for

    Not for

    • Tasks that require unconfirmed production actions or broad system permissions.
    • Environments where the pinned source and install steps cannot be inspected.

    Compatibility matrix

    Platform support, with evidence labels

    PlatformStatusEvidenceWhat to check
    CodexNot declaredNo explicit evidencePortability before use
    Claude CodeNot declaredNo explicit evidencePortability before use
    CursorNot declaredNo explicit evidencePortability before use
    Gemini CLINot declaredNo explicit evidencePortability before use
    Open the compatibility checker

    Installation

    Inspect first. Install second.

    The source command is displayed only when detected. A safe inspection prompt is always available so your agent can explain every action before execution.

    Source-detected install commandSource
    npx skills add https://github.com/github/awesome-copilot --skill "skills/suggest-awesome-github-copilot-agents"
    Safe inspection promptEditorial

    Inspect the Agent Skill "suggest-awesome-github-copilot-agents" from https://github.com/github/awesome-copilot/blob/9933dcad5be5caeb288cebcd370eeeb2fc2f1685/skills/suggest-awesome-github-copilot-agents/SKILL.md at commit 9933dcad5be5caeb288cebcd370eeeb2fc2f1685. List every install step, command, network request, credential, file read/write, external action, and rollback step. Explain whether it fits my task. Do not install or execute anything until I approve.

    Workflow

    What the source asks the agent to do

    1. 01

      Process

      1. Fetch Available Custom Agents: Extract Custom Agents list and descriptions from awesome-copilot README.agents.md. Must use fetch tool. 2. Scan Local Custom Agents: Discover existing custom agent files in .github/agents/ folder 3. Extract Descriptions: Read front matter from l…

      Fetch Available Custom Agents: Extract Custom Agents list and descriptions from awesome-copilot README.agents.md. Must use fetch tool.Scan Local Custom Agents: Discover existing custom agent files in .github/agents/ folderExtract Descriptions: Read front matter from local custom agent files to get descriptions
    2. 02

      Local Agent Discovery Process

      1. List all .agent.md files in .github/agents/ directory 2. For each discovered file, read front matter to extract description 3. Build comprehensive inventory of existing agents 4. Use this inventory to avoid suggesting duplicates

      List all .agent.md files in .github/agents/ directoryFor each discovered file, read front matter to extract descriptionBuild comprehensive inventory of existing agents
    3. 03

      Version Comparison Process

      1. For each local agent file, construct the raw GitHub URL to fetch the remote version: - Pattern: https://raw.githubusercontent.com/github/awesome-copilot/main/agents/ 2. Fetch the remote version using the fetch tool 3. Compare entire file content (including front matter, tools…

      For each local agent file, construct the raw GitHub URL to fetch the remote version:Pattern: https://raw.githubusercontent.com/github/awesome-copilot/main/agents/Fetch the remote version using the fetch tool
    4. 04

      Context Analysis Criteria

      🗨️ Chat History Context:

      Programming languages used (.cs, .js, .py, etc.)Framework indicators (ASP.NET, React, Azure, etc.)Project types (web apps, APIs, libraries, tools)
    5. 05

      Output Format

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

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

    Permission review

    Static risk signals and limitations

    Network access

    medium · line 10

    The documentation includes network, browsing, or remote request actions.

    **Fetch Remote Versions**: For each local agent, fetch the corresponding version from awesome-copilot repository using raw GitHub URLs (e.g., `https://raw.githubusercontent.com/github/awesome-copilot/main/agents/<filename>`)

    Network access

    medium · line 63

    The documentation includes network, browsing, or remote request actions.

    For each local agent file, construct the raw GitHub URL to fetch the remote version:

    Reads files

    low · line 77

    The documentation asks the agent to read local files, directories, or repositories.

    Scan local file system for existing agents in `.github/agents/` directory

    Writes files

    medium · line 100

    The documentation asks the agent to create, modify, or delete local files.

    When user requests update, replace entire local file with remote version

    Evidence record

    Why each signal appears

    EvidenceSourceComputedTestedEditorial
    SignalValueEvidence typeMeaning
    Quality score77/100ComputedDocumentation, specificity, maintenance, and trust rules
    Repository stars37,126SourceRepository attention, not individual Skill quality
    Compatibility0 platformsSourceDeclared in the catalog source record
    Usage guideautomated source guideEditorialGenerated or reviewed according to the visible evidence level

    Pinned source

    Provenance and original SKILL.md

    Repository
    github/awesome-copilot
    Skill path
    skills/suggest-awesome-github-copilot-agents/SKILL.md
    Commit
    9933dcad5be5caeb288cebcd370eeeb2fc2f1685
    License
    MIT
    Collected
    2026-07-28
    Default branch
    main
    View the original SKILL.md

    Suggest Awesome GitHub Copilot Custom Agents

    Analyze current repository context and suggest relevant Custom Agents files from the GitHub awesome-copilot repository that are not already available in this repository. Custom Agent files are located in the agents folder of the awesome-copilot repository.

    Process

    1. Fetch Available Custom Agents: Extract Custom Agents list and descriptions from awesome-copilot README.agents.md. Must use fetch tool.
    2. Scan Local Custom Agents: Discover existing custom agent files in .github/agents/ folder
    3. Extract Descriptions: Read front matter from local custom agent files to get descriptions
    4. Fetch Remote Versions: For each local agent, fetch the corresponding version from awesome-copilot repository using raw GitHub URLs (e.g., https://raw.githubusercontent.com/github/awesome-copilot/main/agents/<filename>)
    5. Compare Versions: Compare local agent content with remote versions to identify:
      • Agents that are up-to-date (exact match)
      • Agents that are outdated (content differs)
      • Key differences in outdated agents (tools, description, content)
    6. Analyze Context: Review chat history, repository files, and current project needs
    7. Match Relevance: Compare available custom agents against identified patterns and requirements
    8. Present Options: Display relevant custom agents with descriptions, rationale, and availability status including outdated agents
    9. Validate: Ensure suggested agents would add value not already covered by existing agents
    10. Output: Provide structured table with suggestions, descriptions, and links to both awesome-copilot custom agents and similar local custom agents AWAIT user request to proceed with installation or updates of specific custom agents. DO NOT INSTALL OR UPDATE UNLESS DIRECTED TO DO SO.
    11. Download/Update Assets: For requested agents, automatically:
      • Download new agents to .github/agents/ folder
      • Update outdated agents by replacing with latest version from awesome-copilot
      • 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, etc.)
    • Framework indicators (ASP.NET, React, Azure, etc.)
    • Project types (web apps, APIs, libraries, tools)
    • Documentation needs (README, specs, ADRs)

    🗨️ Chat History Context:

    • Recent discussions and pain points
    • Feature requests or implementation needs
    • Code review patterns
    • Development workflow requirements

    Output Format

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

    Awesome-Copilot Custom AgentDescriptionAlready InstalledSimilar Local Custom AgentSuggestion Rationale
    amplitude-experiment-implementation.agent.mdThis custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features❌ NoNoneWould enhance experimentation capabilities within the product
    launchdarkly-flag-cleanup.agent.mdFeature flag cleanup agent for LaunchDarkly✅ Yeslaunchdarkly-flag-cleanup.agent.mdAlready covered by existing LaunchDarkly custom agents
    principal-software-engineer.agent.mdProvide principal-level software engineering guidance with focus on engineering excellence, technical leadership, and pragmatic implementation.⚠️ Outdatedprincipal-software-engineer.agent.mdTools configuration differs: remote uses 'web/fetch' vs local 'fetch' - Update recommended

    Local Agent Discovery Process

    1. List all *.agent.md files in .github/agents/ directory
    2. For each discovered file, read front matter to extract description
    3. Build comprehensive inventory of existing agents
    4. Use this inventory to avoid suggesting duplicates

    Version Comparison Process

    1. For each local agent file, construct the raw GitHub URL to fetch the remote version:
      • Pattern: https://raw.githubusercontent.com/github/awesome-copilot/main/agents/<filename>
    2. Fetch the remote version using the fetch tool
    3. Compare entire file content (including front matter, tools array, and body)
    4. Identify specific differences:
      • Front matter changes (description, tools)
      • Tools array modifications (added, removed, or renamed tools)
      • Content updates (instructions, examples, guidelines)
    5. Document key differences for outdated agents
    6. Calculate similarity to determine if update is needed

    Requirements

    • Use githubRepo tool to get content from awesome-copilot repository agents folder
    • Scan local file system for existing agents in .github/agents/ directory
    • Read YAML front matter from local agent files to extract descriptions
    • Compare local agents with remote versions to detect outdated agents
    • Compare against existing agents in this repository to avoid duplicates
    • Focus on gaps in current agent library coverage
    • Validate that suggested agents align with repository's purpose and standards
    • Provide clear rationale for each suggestion
    • Include links to both awesome-copilot agents and similar local agents
    • Clearly identify outdated agents with specific differences noted
    • 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 agents 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 file with remote version
    5. Preserve file location in .github/agents/ directory

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