A powerful integration for managing GitHub repositories, issues, and pull requests via the official GitHub CLI.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install gh
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install gh using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The GitHub CLI (gh) skill enables seamless interaction with GitHub directly from your AI coding environment. By leveraging the official toolset, this skill empowers developers and AI agents to perform authenticated operations like repository creation, cloning, and forking without leaving the terminal. It serves as a bridge between your local development workflow and GitHub's cloud infrastructure.
Integrating this tool as part of Openclaw Skills allows for automated repository management and streamlined contribution workflows. Whether you are automating release cycles or managing issue backlogs, this skill provides a stable and idempotent interface for all your GitHub-related tasks.
To get started with this skill within the Openclaw Skills framework, ensure you have the GitHub CLI installed and authenticated on your local machine.
# Install GitHub CLI (example for macOS)
brew install gh
# Authenticate with your GitHub account
gh auth login
# Verify the installation and authentication status
gh auth status
This skill operates primarily on repository metadata and interaction logs. It utilizes standard GitHub data structures for repository and issue details.
| Data Type | Description | Key Fields |
|---|---|---|
| Repository | Metadata about the target GitHub repo | nameWithOwner, url, defaultBranchRef |
| Issue/PR | Details regarding tickets or code reviews | title, body, state, number, html_url |
| Auth Status | Local authentication state and account info | logged_in, account, protocol |
The skill prefers machine-readable JSON output for internal logic while presenting human-readable URLs for user confirmation.
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