A complete end-to-end automation skill for managing GitHub Issues from initial fetching to final deployment.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install github-iteration-workflow
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 github-iteration-workflow 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 Iteration Workflow is a powerful technical framework designed for AI agents to handle the entire lifecycle of repository maintenance. By leveraging this Openclaw Skills contribution, developers can automate the transition from an open issue to a merged pull request. It focuses on batch processing, ensuring that related issues are analyzed together to reduce technical debt and prevent regressions.
This skill provides a structured methodology for code fixes, standardized commit messaging, and automated CI/CD feedback loops. It is particularly valuable for teams looking to accelerate their development velocity by allowing an AI agent to handle the repetitive aspects of issue tracking, branch management, and deployment verification.
To use this skill within the Openclaw Skills ecosystem, ensure you have the GitHub CLI installed and authenticated.
# Verify authentication status
gh auth status
# Ensure the target repository is cloned locally
cd <your-repo-path>
The workflow manages data through GitHub's standard metadata structures to ensure compatibility across tools.
| Object | Metadata Fields | Purpose |
|---|---|---|
| Issue | number, title, body, labels | Provides context for the AI agent to generate fixes |
| Branch | fix/batch- |
Organizes multiple fixes into a single logical unit |
| Commit | prefix: |
Ensures traceability between code and issues |
| PR | body (Closes #A, #B) | Triggers automatic issue closing upon merge |
| Deployment | environment, sha, created_at | Confirms the code has reached the target environment |
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