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prulloac
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github-pr-comments

Categorize GitHub pull request comments by type and severity.

Updated Feb 17, 2026
Search Tags:#automation#github#categorization#analyze#responses#pr-comments
One-click install
npx skills add https://github.com/prulloac/git-blame-vsc --skill github-pr-comments-prulloac
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: github-pr-comments
Source: https://github.com/prulloac/git-blame-vsc/tree/main/.agents/skills/github-pr-comments
Command: npx skills add https://github.com/prulloac/git-blame-vsc --skill github-pr-comments-prulloac

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Analyze and categorize GitHub pull request comments, then automate responses and guidance to reviewers, reducing manual triage time.

Core Features & Use Cases

  • Categorization: classify each comment by type (Security, Code Changes, Documentation, Clarifications, Bugs & Code Smells, Other) and assign a severity (Critical, High, Medium, Info).
  • Automation & templates: generate suggested replies, prioritize issues, and guide automated actions based on user preferences.
  • Flexible workflow: supports GitHub MCP Server, GitHub CLI (gh), and GitHub REST API in order of precedence; provides summaries and recommended next steps.
  • Use Case: accelerate PR reviews by turning discussions into actionable items and maintainer-ready responses.

Quick Start

Provide the PR URL or number to begin fetching and analyzing comments.

Frequently Asked Questions about github-pr-comments

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

FAQPage Schema
How do I automatically categorize GitHub pull request comments?▼

You can automate GitHub PR comment categorization by fetching review feedback via GitHub MCP Server, CLI, or REST API, then classifying each comment by type like Security, Documentation, or Bugs, and assigning severity levels from Critical to Info.

How do I generate automated responses for PR review feedback?▼

Generating automated responses for PR review feedback involves analyzing categorized comments and producing suggested replies based on severity and type, turning discussions into actionable items and maintainer-ready response templates.

Can I use GitHub CLI to analyze pull request comments?▼

Yes, you can use GitHub CLI to analyze pull request comments. The workflow supports GitHub CLI (gh) for retrieving PR feedback, operating alongside or as an alternative to GitHub MCP Server and REST API based on availability precedence.

What is the best way to triage pull request review comments by severity?▼

The best way to triage pull request review comments by severity is to apply an automated categorization workflow that assigns severity levels—Critical, High, Medium, or Info—to each comment, prioritizing issues for maintainers.

Do I need GitHub MCP Server to automate PR comment responses?▼

No, you do not need GitHub MCP Server to automate PR comment responses. The workflow supports GitHub MCP Server, GitHub CLI, and REST API in order of precedence, allowing flexible retrieval and processing without a single mandatory dependency.

What categories are used when analyzing GitHub pull request comments?▼

When analyzing GitHub pull request comments, feedback is categorized by type into Security, Code Changes, Documentation, Clarifications, Bugs & Code Smells, and Other, with severity levels ranging from Critical to Info.

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