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Suggest Awesome Github Copilot Agents

GitHubOfficialOriginally contributed by @aaronpowell as prompts/suggest-awesome-github-copilot-agents.prompt.md; moved into a skill by pull request #761Distributed by GitHub

  • Skill
  • Workflow
  • Agent tooling
  • MIT
  • No issues found

From the author

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context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.
— the description by aaronpowell

AutoGineer summary

Written by AutoGineer from the skill’s own files, not by the author

This skill automates the discovery, comparison, and management of GitHub Copilot Custom Agents. It scans the local .github/agents/ directory and compares existing files against the official awesome-copilot repository. The skill identifies missing agents that could benefit the current project, detects outdated local versions, and provides a structured report to help developers maintain an up-to-date and relevant agent library.

What it does

  • Scans local repository for existing GitHub Copilot Custom Agents.
  • Fetches the latest agent definitions from the awesome-copilot repository.
  • Compares local and remote agent versions to detect discrepancies.
  • Analyzes project context and chat history to recommend relevant new agents.
  • Generates a comparison table detailing installation status and update needs.
  • Facilitates the safe download or update of agent files upon user request.

When to use it

  • When you want to expand your project's AI capabilities with new custom agents.
  • To ensure your existing custom agents are synchronized with the latest upstream versions.
  • When you need to identify gaps in your current agent library based on project requirements.
  • To audit your local agent configuration for outdated tools or instructions.

Advantages

  • Prevents duplication of agent functionality within the repository.
  • Ensures agents remain compatible with the latest upstream definitions.
  • Provides data-driven recommendations based on project context.
  • Simplifies the maintenance of custom agent files through automated version checking.

Usage examples

“Check if there are any new GitHub Copilot agents that could help with my current React project.”
The agent will scan your project files, identify relevant agents from the awesome-copilot repository, and present a table of suggestions tailored to your React development needs.
“Are any of my local custom agents outdated?”
The agent will compare your local .github/agents/ files against the remote versions and list any that require updates, noting specific differences in tools or instructions.

Install

  1. Download the skill as a ZIP:

    https://mp-staging.autogineer.com/agent-skills/github/suggest-awesome-github-copilot-agents/download
  2. Unzip it into the cross-client skills folder of your project:

    mkdir -p .agents/skills && unzip suggest-awesome-github-copilot-agents.zip -d .agents/skills

Documentation by aaronpowell

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

Files

Requirements and compatibility

Written for: GitHub Copilot

Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta

“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.

Needs: Names Copilot tools

Security

No issues found by our static scan· No issues found

A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.

Attribution and licence

Originally contributed by
GitHub avatar of aaronpowell@aaronpowellas prompts/suggest-awesome-github-copilot-agents.prompt.mdmoved into a skill by pull request #761
Publisher
GitHub (Official)
Distributed by
GitHub
Source
github/awesome-copilot · skills/suggest-awesome-github-copilot-agents · commit 797337f
Licence
MIT License (redistribution allowed)
  • LICENSE (added by AutoGineer from LICENSE)
  • ATTRIBUTION.md (written by AutoGineer)
Synced
Contributors
aaronpowell, yaooqinn

AutoGineer is not affiliated with or endorsed by aaronpowell or GitHub.

Download ZIP

The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download suggest-awesome-github-copilot-agents.zip