How does the skill determine the priority of a review comment?

It uses a keyword-based classification system. Security issues and critical bugs are labeled P0/P1, while optimization suggestions and style 'nits' are classified as P2/P3.

What is the benefit of the confidence scoring system?

Confidence scoring (0-100) prevents Claude from making incorrect changes by only allowing automated fixes for highly clear and specific comments, while flagging vague feedback for user clarification.

How does it handle old comments on new code changes?

The skill includes a time window filter that ignores comments older than the latest commit unless they have received a new reply, preventing 'stale' feedback from causing regressions.

Can this skill distinguish between different parts of my tech stack?

Yes, it uses path pattern matching and file extension analysis to identify if a comment pertains to Backend (Python/API), Frontend (React/TSX), or E2E testing.

PR Review Analyzer

Name: PR Review Analyzer
Author: penkzhou

bypenkzhou

•

Collaboration Tools

Analyzes and prioritizes pull request comments to automate code fixes and streamline the review process.

About

The PR Review Analysis skill provides a comprehensive knowledge base for Claude to interpret, score, and act on code review feedback. It features a sophisticated confidence evaluation system that measures the clarity and specificity of comments, alongside an intelligent priority classifier that identifies critical security vulnerabilities and bugs. By automatically identifying technical stacks and enforcing TDD-driven fix workflows, this skill helps developers resolve PR feedback faster, maintain high-quality code standards, and ensure professional communication with reviewers through standardized response templates.

Key Features

1 GitHub stars
Automated priority classification (P0-P3) with specialized security keyword detection
Standardized reply templates for professional communication with reviewers
Confidence scoring system (0-100) based on clarity, specificity, and context
Multi-stack pattern matching for Backend, Frontend, and E2E testing environments
TDD-integrated fix workflows that require test-first implementation for all changes

Use Cases

Filtering outdated review comments by comparing timestamps with the latest git commits
Automating the /fix-pr-review workflow with AI-driven analysis and TDD implementation
Triaging complex PRs by automatically identifying and prioritizing blocker-level issues

About

Key Features

1 GitHub stars
Automated priority classification (P0-P3) with specialized security keyword detection
Standardized reply templates for professional communication with reviewers
Confidence scoring system (0-100) based on clarity, specificity, and context
Multi-stack pattern matching for Backend, Frontend, and E2E testing environments
TDD-integrated fix workflows that require test-first implementation for all changes

Use Cases

Filtering outdated review comments by comparing timestamps with the latest git commits
Automating the /fix-pr-review workflow with AI-driven analysis and TDD implementation
Triaging complex PRs by automatically identifying and prioritizing blocker-level issues