/suggest-awesome-github-copilot-agents

name: suggest-awesome-github-copilot-agents
description: '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context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.'

Suggest Awesome GitHub Copilot Custom Agents

Analyze current repository context and suggest relevant Custom Agents files from the [GitHub awesome-copilot repository](https://github.com/github/awesome-copilot/blob/main/docs/README.agents.md) that are not already available in this repository. Custom Agent files are located in the [agents](https://github.com/github/awesome-copilot/tree/main/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](https://github.com/github/awesome-copilot/blob/main/docs/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• Agents that are outdated (content differs)
• Key differences in outdated agents (tools, description, content)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 **Present Options**: Display relevant custom agents with descriptions, rationale, and availability status including outdated agents 9.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](https://github.com/github/awesome-copilot/blob/main/agents/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 | | [launchdarkly-flag-cleanup.agent.md](https://github.com/github/awesome-copilot/blob/main/agents/launchdarkly-flag-cleanup.agent.md) | Feature flag cleanup agent for LaunchDarkly | ✅ Yes | launchdarkly-flag-cleanup.agent.md | Already covered by existing LaunchDarkly custom agents | | [principal-software-engineer.agent.md](https://github.com/github/awesome-copilot/blob/main/agents/principal-software-engineer.agent.md) | Provide principal-level software engineering guidance with focus on engineering excellence, technical leadership, and pragmatic implementation. | ⚠️ Outdated | principal-software-engineer.agent.md | Tools 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 age