Does this skill require a GitHub Copilot subscription?

Yes, an active GitHub Copilot subscription and a correctly authenticated Copilot CLI are required to use these tools.

Which AI models can I use with this skill?

You can choose from several models based on task complexity, including Claude 3.5 Sonnet/Opus, various GPT-5 variants, and Gemini Pro for Google ecosystem tasks.

How does this improve large file analysis?

This skill leverages the massive token window available via GitHub Copilot, allowing for more comprehensive analysis of large files and entire codebases that might exceed standard AI limits.

Can it generate unit tests for specific frameworks?

Yes, the copilot-test-generate tool supports various frameworks such as Jest, Pytest, and Mocha to create tailored unit tests for your existing code.

What areas can the code review tool focus on?

The review tool allows you to target specific areas including security, performance, maintainability, and general best practices.

GitHub Copilot MCP Integration

Name: GitHub Copilot MCP Integration
Author: Aykahshi

byAykahshi

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Security & Testing

Enables advanced codebase analysis and specialized AI development tools by bridging Claude with the GitHub Copilot CLI.

About

The copilot-mcp-server skill seamlessly integrates GitHub Copilot's robust code intelligence into the Claude environment, allowing developers to leverage Copilot’s massive token window for deep codebase understanding. This skill provides a comprehensive suite of tools for automated code reviews, context-aware debugging, refactoring, and unit test generation across various high-performance models including Claude, GPT, and Gemini. By maintaining session history and offering specialized commands for explaining complex logic or suggesting CLI operations, it empowers developers to handle large-scale architectural tasks and detailed code optimization with significantly higher accuracy and efficiency.

Key Features

Multi-model support including specialized versions of Claude, GPT, and Gemini
Session management for maintaining continuity across complex, multi-step coding tasks
2 GitHub stars
Context-aware debugging and automated unit test generation for multiple frameworks
Large-scale codebase analysis utilizing GitHub Copilot's massive token window
Automated code review focusing on security, performance, and maintainability

Use Cases

Generating comprehensive test suites for undocumented functions to ensure code reliability
Performing deep security and performance audits on legacy or large-scale repositories
Refactoring complex logic into cleaner, more maintainable code using targeted architectural goals

About

Key Features

Multi-model support including specialized versions of Claude, GPT, and Gemini
Session management for maintaining continuity across complex, multi-step coding tasks
2 GitHub stars
Context-aware debugging and automated unit test generation for multiple frameworks
Large-scale codebase analysis utilizing GitHub Copilot's massive token window
Automated code review focusing on security, performance, and maintainability

Use Cases

Generating comprehensive test suites for undocumented functions to ensure code reliability
Performing deep security and performance audits on legacy or large-scale repositories
Refactoring complex logic into cleaner, more maintainable code using targeted architectural goals