- 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
- 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/
- folder
- Extract Descriptions
-
- Read front matter from local custom agent files to get descriptions
- 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/
- )
- 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- Agents that are outdated (content differs)
- Key differences in outdated agents (tools, description, content)
- Analyze Context
-
- Review chat history, repository files, and current project needs
- Match Relevance
-
- Compare available custom agents against identified patterns and requirements
- Present Options
-
- Display relevant custom agents with descriptions, rationale, and availability status including outdated agents
- Validate
-
- Ensure suggested agents would add value not already covered by existing agents
- 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.
- 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- For requested agents, automatically: Download new agents to .github/agents/ folder Update outdated agents by replacing with latest version from awesome-copilot Do NOT adjust content of the files Use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
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
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
List all
*.agent.md
files in
.github/agents/
directory
For each discovered file, read front matter to extract
description
Build comprehensive inventory of existing agents
Use this inventory to avoid suggesting duplicates
Version Comparison Process
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/