gh-issues

Automate GitHub issue resolution with parallel sub-agents and pull requests.

67|24|Updated Jan 31, 2026
One-click install
npx skills add https://github.com/openxjarvis/openclaw-python --skill gh-issues-openxjarvis
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gh-issues
Source: https://github.com/openxjarvis/openclaw-python/tree/main/skills/gh-issues
Command: npx skills add https://github.com/openxjarvis/openclaw-python --skill gh-issues-openxjarvis

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of fixing GitHub issues by spawning sub-agents to implement fixes, open pull requests, and even handle review comments, significantly streamlining the development workflow.

Core Features & Use Cases

  • Automated Issue Resolution: Automatically fetches GitHub issues, creates branches, implements fixes, and opens pull requests.
  • Sub-agent Orchestration: Leverages parallel sub-agents for efficient issue processing.
  • PR Review Handling: Monitors open PRs for review comments and spawns agents to address them.
  • Use Case: A developer can use this skill to automatically tackle a list of 'bug' labeled issues in a repository, have them fixed by AI agents, and have the resulting PRs ready for review, freeing up developer time for more complex tasks.

Quick Start

Use the gh-issues skill to fetch and fix GitHub issues from the 'owner/repo' repository, filtering for 'bug' labels and processing up to 5 issues.

Frequently Asked Questions about gh-issues

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate fixing GitHub issues and creating pull requests?

Automating GitHub issue fixes involves spawning parallel sub-agents to implement code changes, create branches, and open pull requests automatically. This streamlines the development workflow by resolving issues and handling PR review comments without manual coding.

Can AI agents automatically address review comments on existing GitHub pull requests?

Yes, AI agents can monitor open GitHub pull requests for review comments and automatically spawn sub-agents to address and resolve the feedback. This ensures continuous PR review handling without requiring manual developer intervention.

What is the best way to process multiple GitHub issues in parallel?

The most effective approach for parallel GitHub issue processing is using sub-agent orchestration. This mechanism fetches issues, filters them by labels like 'bug', and spawns multiple agents concurrently to implement fixes and open pull requests.

Does automated issue resolution support fork mode and cron-safe execution?

Yes, automated issue resolution supports fork mode for repository contributions and cron-safe execution for scheduled tasks. It also allows customizable models for sub-agent tasks to optimize the automated pull request workflow.

How do I fetch and fix GitHub issues filtered by specific labels?

To fetch and fix labeled GitHub issues, specify the target 'owner/repo' repository and filter by labels such as 'bug'. The system processes up to a designated number of issues, implementing fixes and opening PRs automatically.