prompt
Maximize GitHub Copilot with awesome-copilot
Get community-contributed configurations for GitHub Copilot. For startup founders, with 37k+ GitHub stars.
38,292 stars4,846 forksJavaScriptHealth Score 9/10Updated 8/27/2026100% free · open source
What it does
Awesome-copilot provides pre-configured settings and community-contributed configurations to enhance GitHub Copilot's code completion capabilities
Install / run
Since awesome-copilot is a repository of configurations, there's no installation command; instead, access the repository at https://github.com/github/awesome-copilotWhen to use it
- •When you want to improve code completion accuracy in GitHub Copilot
- •When you need to customize GitHub Copilot settings for your specific project requirements
- •When you're looking for community-driven configurations to streamline your development workflow
Quick start
- 1Explore the repository's README to understand the available configurations and setups
- 2Navigate to the 'configs' directory to find community-contributed configuration files
- 3Copy and modify the configuration files to suit your project needs, such as updating the 'settings.json' file
- 4Use the GitHub Copilot extension with your customized configuration to experience improved code completion
- 5Regularly check the repository for updates and new configurations contributed by the community
Ready-to-paste prompt
To use a custom configuration, create a 'settings.json' file with your preferred settings and then use GitHub Copilot with the command 'github.copilot.config = {"config": "path/to/your/settings.json"}'Heads up: Ensure you have GitHub Copilot installed and configured in your development environment before attempting to use the awesome-copilot configurations, as it relies on the GitHub Copilot extension being set up correctly
Saves to your device
Topics
agent-skills
agents
ai
awesome
custom-agents
github-copilot
hacktoberfest
prompt-engineering
How Maximize GitHub Copilot with awesome-copilot works
Codeflow
Free to inspect
Maximize GitHub Copilot with awesome-copilot is a very large Python project (~121k lines across 303 code files, plus 2 test files). You install it into your AI tool with one command; there is nothing to run yourself. Last commit this month, MIT license, has a test suite.
Size
Very large codebase
~121k lines · 303 code files · days to read — use, don't read
Setup
Install as a skill / plugin
Add it to Claude Code (or your AI tool) with one command — 429 skills inside. Nothing to run yourself.
Runs on
Inside your AI tool
Helper scripts use Node.js
Python 41%JavaScript 40%HTML 6%Astro 3%CSS 3%
Where to start reading
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3skills/acquire-codebase-knowledge/SKILL.mdInside skills/ — an example of what the AI is told to do
- 4cookbook/README.mdA worked example — copy this to get going
What's in each folder
READMEHas testsDocumentedCI checksExamples includedMIT licenseUpdated this month
Details
Creator
github
Language
JavaScript
Category
prompt
Published
6/11/2025
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