A powerful CLI utility that leverages GitHub Copilot to analyze codebases, generate documentation, and automate development workflows directly from your terminal.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install copilot-cli
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install copilot-cli using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Copilot CLI AI Code Analysis Assistant?
The Copilot CLI assistant is designed to bridge the gap between AI-driven insights and local terminal environments. By integrating this tool into your Openclaw Skills library, developers can perform deep architectural analysis, identify technology stacks, and conduct thorough code reviews without leaving the command line. It streamlines the process of understanding complex projects and speeds up routine coding tasks through intelligent automation.
This skill provides a seamless interface to the GitHub Copilot API, allowing for one-off queries or deep-dive interactive sessions. It is particularly effective for navigating unfamiliar repositories, generating unit tests, or refactoring code according to best practices, making it an essential addition to any Openclaw Skills toolkit.
Copilot CLI AI Code Analysis Assistant Use Cases
- Rapid project onboarding by asking the AI for high-level summaries and architecture overviews.
- Identifying specific code modules for authentication, database handling, or API routing.
- Generating comprehensive documentation and unit tests for existing functions.
- Conducting automated code reviews to find potential bugs or security vulnerabilities.
- Performing interactive debugging sessions through a conversational CLI interface.
How Copilot CLI AI Code Analysis Assistant Works
- The user provides a natural language prompt or specific command to the Copilot CLI via the terminal.
- The tool retrieves the necessary context from the local project files based on the current directory or specified file paths.
- Authentication is handled via a GitHub Personal Access Token stored in the local configuration directory.
- The request and local context are processed by the GitHub Copilot API to generate technical insights, explanations, or code snippets.
- Results are returned to the terminal for review, or executed directly when using the automated execution mode.
Copilot CLI AI Code Analysis Assistant Setup
Install the CLI using Homebrew:
brew install copilot-cli
Generate a GitHub Personal Access Token (fine-grained) with 'Copilot Requests' permissions and save it to the configuration directory:
mkdir -p ~/.copilot/
echo "your_github_token" > ~/.copilot/github_token.txt
Verify the setup by running a test query within any project directory:
COPILOT_GITHUB_TOKEN=$(cat ~/.copilot/github_token.txt) copilot -p "Explain the main entry point of this project"
Copilot CLI AI Code Analysis Assistant Data Schema & Taxonomy
The skill manages its state and configuration through the following file structure:
| Path | Description |
|---|---|
~/.copilot/github_token.txt |
Securely stores the GitHub Personal Access Token for API authentication. |
~/.copilot/ |
The primary configuration directory for local tool settings. |
~/.copilot/logs/ |
Contains execution logs for troubleshooting and auditing AI interactions. |
Copilot CLI AI Code Analysis Assistant Advanced Features
- Targeted Analysis: Use @filename tags to focus the AI's attention on specific files for deeper explanation.
- Interactive Sessions: Launch a full conversational mode for complex, multi-step code exploration and debugging.
- YOLO Mode: Use the --yolo flag to allow the AI to automatically execute commands, such as running generated tests or scripts.
- Cross-Platform Analysis: Analyze codebases hosted on any platform (GitHub, GitLab, Bitbucket) as long as they are available locally.
- Openclaw Skills Workflow Integration: Combine this skill with other Openclaw Skills to automate repository audits and documentation updates across enterprise-scale environments.
SKILL.md
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