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context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

28,865 stars

Best use case

suggest-awesome-github-copilot-agents is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

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context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

Teams using suggest-awesome-github-copilot-agents should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/suggest-awesome-github-copilot-agents/SKILL.md --create-dirs "https://raw.githubusercontent.com/github/awesome-copilot/main/plugins/awesome-copilot/skills/suggest-awesome-github-copilot-agents/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/suggest-awesome-github-copilot-agents/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How suggest-awesome-github-copilot-agents Compares

Feature / Agentsuggest-awesome-github-copilot-agentsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

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context and chat history, avoiding duplicates with existing custom agents in this repository, and identifying outdated agents that need updates.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# 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 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

Related Skills

workiq-copilot

28865
from github/awesome-copilot

Guides the Copilot CLI on how to use the WorkIQ CLI/MCP server to query Microsoft 365 Copilot data (emails, meetings, docs, Teams, people) for live context, summaries, and recommendations.

github-issues

28865
from github/awesome-copilot

Create, update, and manage GitHub issues using MCP tools. Use this skill when users want to create bug reports, feature requests, or task issues, update existing issues, add labels/assignees/milestones, set issue fields (dates, priority, custom fields), set issue types, manage issue workflows, link issues, add dependencies, or track blocked-by/blocking relationships. Triggers on requests like "create an issue", "file a bug", "request a feature", "update issue X", "set the priority", "set the start date", "link issues", "add dependency", "blocked by", "blocking", or any GitHub issue management task.

github-copilot-starter

28865
from github/awesome-copilot

Set up complete GitHub Copilot configuration for a new project based on technology stack

declarative-agents

28865
from github/awesome-copilot

Complete development kit for Microsoft 365 Copilot declarative agents with three comprehensive workflows (basic, advanced, validation), TypeSpec support, and Microsoft 365 Agents Toolkit integration

create-github-pull-request-from-specification

28865
from github/awesome-copilot

Create GitHub Pull Request for feature request from specification file using pull_request_template.md template.

create-github-issues-for-unmet-specification-requirements

28865
from github/awesome-copilot

Create GitHub Issues for unimplemented requirements from specification files using feature_request.yml template.

create-github-issue-feature-from-specification

28865
from github/awesome-copilot

Create GitHub Issue for feature request from specification file using feature_request.yml template.

create-github-action-workflow-specification

28865
from github/awesome-copilot

Create a formal specification for an existing GitHub Actions CI/CD workflow, optimized for AI consumption and workflow maintenance.

create-agentsmd

28865
from github/awesome-copilot

Prompt for generating an AGENTS.md file for a repository

copilot-usage-metrics

28865
from github/awesome-copilot

Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.

copilot-spaces

28865
from github/awesome-copilot

Use Copilot Spaces to provide project-specific context to conversations. Use this skill when users mention a "Copilot space", want to load context from a shared knowledge base, discover available spaces, or ask questions grounded in curated project documentation, code, and instructions.

copilot-instructions-blueprint-generator

28865
from github/awesome-copilot

Technology-agnostic blueprint generator for creating comprehensive copilot-instructions.md files that guide GitHub Copilot to produce code consistent with project standards, architecture patterns, and exact technology versions by analyzing existing codebase patterns and avoiding assumptions.