GitHub Iteration Workflow for Openclaw

A complete end-to-end automation skill for managing GitHub Issues from initial fetching to final deployment.

gdyshi
v1.0.0
Apr 3, 2026
0
875
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install github-iteration-workflow

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is GitHub Iteration Workflow?

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.

GitHub Iteration Workflow Use Cases

  • Automating the resolution of multiple related bugs in a single iteration.
  • Synchronizing local code changes with GitHub Issue tracking numbers automatically.
  • Continuous monitoring of CI/CD pipelines with autonomous fix-and-push capabilities.
  • Batch processing of documentation updates or minor refactors across a repository.

How GitHub Iteration Workflow Works

  1. Retrieve all open issues using the GitHub CLI to assess the current project backlog.
  2. Perform a technical analysis to identify dependencies between issues and plan a unified fix strategy.
  3. Create a dedicated iteration branch and apply code changes for the selected issues.
  4. Commit the changes using standardized prefixes (fix, feat, refactor) to ensure a clean git history.
  5. Push the branch and create a Pull Request that uses keywords like Closes #ID to link issues automatically.
  6. Monitor CI/CD checks and automatically pull failure logs to apply corrective fixes if tests fail.
  7. Merge the Pull Request and verify the successful deployment environment via the GitHub API.

GitHub Iteration Workflow Setup

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>

GitHub Iteration Workflow Data Schema & Taxonomy

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: (#id) 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

GitHub Iteration Workflow Advanced Features

  • Multi-issue batching to resolve complex dependencies in a single Pull Request.
  • Automated CI/CD self-healing loops that read error logs and push recursive fixes.
  • Standardized commit linting support to maintain high-quality repository history.
  • Deployment verification hooks to confirm environment status post-merge.
  • Detailed reporting output including PR links and CI/CD summaries for human review.

SKILL.md


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