pr-comments

Export, preprocess, analyze, and fix GitHub PR review comments.

35|6|Updated Aug 1, 2025
One-click install
npx skills add https://github.com/donghaozhang/qcut --skill pr-comments-donghaozhang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pr-comments
Source: https://github.com/donghaozhang/qcut/tree/main/qcut/.claude/skills/pr-comments
Command: npx skills add https://github.com/donghaozhang/qcut --skill pr-comments-donghaozhang

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gh, jq, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the process of managing GitHub Pull Request review comments, from exporting them to analyzing, fixing, and resolving them, significantly reducing the manual effort involved in code review follow-ups.

Core Features & Use Cases

  • Export Comments: Automatically download all review comments from a specific PR.
  • Preprocess for AI: Clean and format comments to be easily understood and acted upon by AI agents.
  • Analyze & Group: Identify comments by file and suggest an optimal order for fixing (bottom-up).
  • Fix & Resolve: Evaluate individual comments, fix code issues, and resolve threads on GitHub.
  • Batch Processing: Handle multiple comments across multiple files efficiently.
  • Use Case: After a large PR is submitted, use this Skill to export all bot and human review comments, preprocess them for an AI to fix, and then batch-apply the fixes, ensuring code quality is maintained efficiently.

Quick Start

Use the pr-comments skill to export all review comments from the pull request with number 102 in the donghaozhang/qcut repository.

Frequently Asked Questions about pr-comments

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

FAQPage Schema
How do I automate fixing GitHub PR review comments?

To automate fixing GitHub PR review comments, you can export, preprocess, and analyze them for an AI agent to apply fixes. This skill batch processes comments, applying fixes bottom-up to avoid line number shifts, and resolves threads on GitHub.

What's the best way to manage a large volume of Pull Request review comments?

The best way to manage a large volume of Pull Request review comments is to group them by file and process fixes bottom-up. This approach prevents line number shifts during batch processing and efficiently handles comments across multiple files.

Do I need GitHub CLI and jq to process PR comments?

Yes, you need GitHub CLI and jq to process PR comments with this skill. These dependencies are required to export comments from GitHub repositories and parse the JSON data for preprocessing and analysis.

How does preprocessing GitHub PR comments work for AI agents?

Preprocessing GitHub PR comments for AI agents works by cleaning and formatting raw review feedback into a structured format. This ensures the AI can easily understand the context, evaluate individual comments, and apply code fixes automatically.

Why apply PR code fixes bottom-up?

Applying PR code fixes bottom-up is necessary to prevent line number shifts in the codebase. When multiple comments target the same file, fixing from the bottom ensures earlier line numbers remain accurate for subsequent automated fixes.

Can I batch resolve GitHub PR review threads automatically?

Yes, you can batch resolve GitHub PR review threads automatically. After evaluating individual comments and applying the necessary code fixes, the skill resolves the corresponding threads directly on GitHub.