Do I need the GitHub Copilot CLI installed?

Yes, this skill utilizes an MCP server to interact with the GitHub Copilot CLI, which provides the codebase understanding and analysis used in the workflow.

How does it handle interrupted sessions?

The skill maintains progress in a workflow-state.json file, allowing you to resume from the last completed stage or restart specific phases if the process is interrupted.

What is the primary benefit of Copilot Flow?

It creates a structured bridge between Claude and GitHub Copilot, ensuring that code is planned, implemented, and reviewed systematically rather than in isolation.

Can I run individual stages instead of the whole workflow?

Absolutely. You can use specific slash commands like /copilot-flow:analyze or /copilot-flow:review for targeted tasks without running the full sequence.

Copilot Flow Integration

Name: Copilot Flow Integration
Author: Aykahshi

byAykahshi

•

生産性とワークフロー

Orchestrates a structured five-stage collaborative development workflow between Claude and GitHub Copilot to streamline the software lifecycle.

概要

Copilot Flow Integration implements a rigorous AI collaboration framework—Analyze, Design, Implement, Review, and Deliver—designed to maximize the complementary strengths of Claude and GitHub Copilot. By leveraging Copilot’s massive context window via the MCP server and Claude’s sophisticated reasoning capabilities, this skill manages complex tasks from initial requirement structuring through to final documentation. It is an essential tool for developers requiring a systematic, end-to-end approach to building features that demand high-quality architecture and thorough code reviews.

主な機能

State persistence for workflow tracking and error recovery
2 GitHub stars
Automated 5-stage development workflow management
Strategic delegation of tasks between Claude and Copilot models
Deep integration with GitHub Copilot CLI via MCP
Standardized outputs for architecture design and code reviews

ユースケース

Analyzing large existing codebases by leveraging Copilot's massive token window
Building complex software features that require formal architectural planning and security audits
Establishing a consistent and repeatable development process for AI-assisted coding

概要

主な機能

State persistence for workflow tracking and error recovery
2 GitHub stars
Automated 5-stage development workflow management
Strategic delegation of tasks between Claude and Copilot models
Deep integration with GitHub Copilot CLI via MCP
Standardized outputs for architecture design and code reviews

ユースケース

Analyzing large existing codebases by leveraging Copilot's massive token window
Building complex software features that require formal architectural planning and security audits
Establishing a consistent and repeatable development process for AI-assisted coding