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Awesome GitHub Copilot

A community collection of custom agents, instructions, skills, and plugins for GitHub Copilot.github/awesome-copilot

Stars
40.7k
Forks
5.3k
Licence
MIT
Language
JavaScript
Last update
4 days ago
Type
Curated list

What it is

Awesome GitHub Copilot is a community-made collection of ready-to-use customizations for GitHub Copilot, including custom agents, instructions, skills, hooks, workflows, and plugins. You browse it on the project website or in the repo's docs, then add pieces that fit your workflow. The README notes that the content comes from third-party developers, so each item should be reviewed before use.

  • Install a plugin bundle of agents and skills for a specific workflow with the Copilot CLI
  • Add file-pattern coding instructions so Copilot follows a team's standards
  • Browse and search agents and skills on the project website
  • Follow the Learning Hub guides on agents, skills, hooks, and MCP servers

Great for

  • Developers who already use GitHub Copilot and want ready-made agents or coding instructions
  • Teams looking for shared coding standards that apply automatically by file pattern
  • People who want to learn how Copilot customization works through the Learning Hub
  • Users of the Copilot CLI or VS Code who want to install curated plugin bundles

Not ideal for

  • People who do not use GitHub Copilot, since the resources are built for it
  • Anyone who needs vetted, audited code, because the README says entries come from third-party developers and should be inspected before installing
Step-by-step guide: how to use Awesome GitHub CopilotInstall, first run, examples, tips and FAQs

How to get it

  1. 1

    Install with a package manager

    You'll need: GitHub Copilot CLI or VS Code with Copilot

    Install a plugin from the Awesome Copilot marketplace

    copilot plugin install <plugin-name>@awesome-copilot

    Register the marketplace (older CLI or custom setup only)

    copilot plugin marketplace add github/awesome-copilot
  2. 2

    Run it

    • Open the Awesome Copilot website and search for a plugin, agent, or instruction
    • Review the agent's documentation and source before installing
    • Run the install command with the plugin name you chose
    • Use the installed customization in Copilot and check that it behaves as described
  3. 3

    Get the most out of it

    • Use the website's search and filters to find resources across hundreds of entries
    • Read the Learning Hub guides on agents, skills, and instructions to understand how they work
    • Use the llms.txt listing if you are building an AI agent that needs structured data about the collection
    • Check CONTRIBUTING.md if you want to add your own resource

Downloads

Strengths

  • Large, community-contributed catalog organized by resource type
  • Website offers full-text search and filtering, plus a Learning Hub with guides
  • Machine-readable llms.txt listing is provided for AI agents

Trade-offs

  • Entries come from many third-party authors, so quality and safety vary and need manual review
  • The README does not describe a formal review or verification process for listed items

How it compares

ProjectStarsTypeLevelUpdatedBest for
awesome-copilot (this)40.7kCurated listbeginner4 days agoDevelopers who already use GitHub Copilot and want ready-made agents or coding instructions
ponytail182kAI model / agentbeginner8 days agoDevelopers who use Claude Code or similar AI agents and find the generated code too long
humanizer63.8kAI model / agentbeginner9 days agoWriters who draft with an AI and want the final text to sound more natural
Prompt-Engineering-Guide79.8kLearning resourcebeginner8 months agoPeople who are new to prompting and want structured lessons with examples
awesome-gpt-image-235.4kLearning resourcebeginner23 days agoPeople who want working GPT Image 2 prompts to copy and adapt
claude-skills29.1kCurated listintermediate6 days agoDevelopers who already use Claude Code or a similar agent and want ready-made workflows

Stats synced from GitHub. The assessment above was drafted with AI from the project's README on 2026-10-29 and may miss recent changes — check the README before relying on a command. MIT licence: free to use, modify and distribute, including commercially, as long as you keep the copyright notice.