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review-comments

Categorize GitHub pull request review comments by reviewer, status, and type.

6|Updated Jan 22, 2026
Search Tags:#automation#feedback#github#review#categorization#code-review#pull-request
One-click install
npx skills add https://github.com/flurdy/agent-skills --skill review-comments
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: review-comments
Source: https://github.com/flurdy/agent-skills/tree/main/skills/review-comments
Command: npx skills add https://github.com/flurdy/agent-skills --skill review-comments

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Helps you surface, categorize, and respond to PR feedback from reviewers (amazon-q-developer, copilot, humans) to streamline PR closures.

Core Features & Use Cases

  • Categorizes comments by reviewer, status, and type for quick triage.
  • Generates concise, actionable response drafts and follow-up items.
  • Provides a summary you can share with teammates during PR discussions.

Quick Start

Review and address PR feedback by listing pending comments to resolve.

Frequently Asked Questions about review-comments

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

FAQPage Schema
How do I categorize pull request review comments by reviewer and status?▼

You can categorize pull request review comments by reviewer, status, and type automatically. The skill fetches reviews and comments from GitHub, groups them accordingly, and presents a summary to streamline triage during active PR discussions.

What's the best way to draft responses to GitHub PR feedback from multiple reviewers?▼

Drafting responses to GitHub PR feedback is handled by generating concise, actionable response drafts for multiple reviewers. It locates the PR, gathers comments from both bot and human contributors, and prepares follow-up items to resolve feedback faster.

Can I automate gathering code review comments from both bots and humans on GitHub?▼

Yes, you can automate gathering code review comments from bot and human contributors on GitHub. The process locates the pull request, fetches all reviews and associated comments, and categorizes them for quick triage and response drafting.

How does PR comment categorization work for mixed bot and human reviewers?▼

PR comment categorization works by fetching all reviews and comments from a GitHub pull request, then grouping them by reviewer, status, and type. It identifies whether the contributor is a bot or human to help you triage and resolve feedback with clarity.

Does this work with automation tools like amazon-q-developer and copilot for code reviews?▼

Yes, it works with automation tools like amazon-q-developer and copilot. The skill identifies and categorizes pull request review comments from reviewers across bot and human contributors to help you surface and respond to PR feedback efficiently.

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