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General coding40k · #5384

suggest-awesome-github-copilot-agents

Suggests custom GitHub Copilot agents. Helps find and update useful agents based on your current project.

What it does

This tool suggests new "agents" (small programs that help the AI) for your project, based on what already exists in your code and your conversations with the AI. It checks if there are better or newer agents in the official GitHub Copilot repository.

When to use it

  • ✓When you want to add new functionalities to your AI.
  • ✓If you think an existing agent might be outdated.
  • ✓When starting a new project and wanting the best available AI tools.

Example of what to ask your AI

“Suggest GitHub Copilot agents that can help me improve my Python code, considering I already have a unit testing agent.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/github/awesome-copilot/blob/main/skills/suggest-awesome-github-copilot-agents/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/github/awesome-copilot/blob/main/skills/suggest-awesome-github-copilot-agents/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
View on GitHub ↗Raw file
How it works

The tool compares the agents you already have with an official list of agents. It checks which ones are new, which are outdated, and which would be useful for your project based on your code and conversations.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add github/awesome-copilot --skill suggest-awesome-github-copilot-agents

Or download just the file:

curl -L https://raw.githubusercontent.com/github/awesome-copilot/main/skills/suggest-awesome-github-copilot-agents/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

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 Agent Description Already Installed Similar Local Custom Agent Suggestion Rationale
amplitude-experiment-implementation.agent.md This custom agent uses Amplitude's MCP tools to deploy new experiments inside of Amplitude, enabling seamless variant testing capabilities and rollout of product features ❌ No None Would enhance experimentation capabilities within the product

…

FAQ

What are 'agents'?

Agents are like small assistants for the AI, each with a specific task, such as writing code, testing, or documenting.

What does 'outdated' mean?

It means there is a newer version of the agent in the official repository that may have improvements or fixes.

Does the tool install agents automatically?

No, it only suggests. You need to ask it to install or update a specific agent.

Details

Original description by 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.

repo: github/awesome-copilot

Popularity

GitHub stars
40k
Ranking position
#5384
License
MIT
Updated
10/15/2026

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