suggest-awesome-github-copilot-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.

github/awesome-copilot|Updated Apr 8, 2026

Works with

Claude CodeCursorClineWindsurfCodex

Installation Guide

Select your AI agent

How to use suggest-awesome-github-copilot-agents on Cursor

AI-first code editor with Composer

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

›Cursor installed and configured on your machine
›Node.js 16+ with npm — verify with node --version
›Active project directory where you want to add suggest-awesome-github-copilot-agents

Run the install command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/github/awesome-copilot --skill suggest-awesome-github-copilot-agents

Fetches suggest-awesome-github-copilot-agents from github/awesome-copilot and configures it for Cursor.

Select Cursor when prompted

The CLI shows a list of agents. Use arrow keys and space to select Cursor:

◆ Which agents do you want to install to?

│

│ ── Universal (.agents/skills) ────────────────

│ · Cline · Codex · Goose · Windsurf

│ ●Cursor(selected)

│ · Cursor · Aider · Continue

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/suggest-awesome-github-copilot-agents

Restart Cursor to activate suggest-awesome-github-copilot-agents. Access via /suggest-awesome-github-copilot-agents in your agent's command palette.

⚠

Security Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.

›View source on GitHub ›Skills CLI docs ›About Cursor ›What are agent skills?

Documentation

List & Monetize Your Skill

Submit your Claude Code skill and start earning

Get started →

Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

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/<filename>)

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

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/<filename>

Fetch the remote version using the fetch tool

Compare entire file content (including front matter, tools array, and body)

Identify specific differences:

Front matter changes (description, tools)
Tools array modifications (added, removed, or renamed tools)
Content updates (instructions, examples, guidelines)

Document key differences for outdated agents

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

Update Handling

When outdated agents are identified:

Include them in the output table with ⚠️ status

Document specific differences in the "Suggestion Rationale" column

Provide recommendation to update with key changes noted

When user requests update, replace entire local file with remote version

Preserve file location in .github/agents/ directory

suggest-awesome-github-copilot-agents

Installation Guide

How to use suggest-awesome-github-copilot-agents on Cursor

Prerequisites

Run the install command

Select Cursor when prompted

Verify installation

Security Notice

Documentation

List & Monetize Your Skill

Use Cases

User Story & Requirements Generation

Competitive Analysis

Roadmap Prioritization

Install Skill

Suggest Awesome GitHub Copilot Custom Agents

Process

Context Analysis Criteria

Output Format

Local Agent Discovery Process

Version Comparison Process

Requirements

Icons Reference

Update Handling

Stakeholder Communication

Implementation Guide

Best Practices

When to Use This

Learning Path

Related Skills

premium-frontend-ui

java-springboot

grill-me

premortem

deslop

framer-motion

Reviews

Discussion