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RDCrystalLab
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caveman-review

Compress code review feedback into concise actionable comments with locations and fixes.

Updated Jan 10, 2026
Search Tags:#diff analysis#software engineering#code review#pull request#github#developer feedback
One-click install
npx skills add https://github.com/RDCrystalLab/agentic-plugins --skill caveman-review-rdcrystallab
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: caveman-review
Source: https://github.com/RDCrystalLab/agentic-plugins/tree/main/plugins/caveman/skills/caveman-review
Command: npx skills add https://github.com/RDCrystalLab/agentic-plugins --skill caveman-review-rdcrystallab

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill reduces noisy pull request feedback by turning lengthy code review comments into concise, actionable findings that developers can quickly understand and apply.

Core Features & Use Cases

  • Compressed Review Comments: Produces one-line review comments with location, problem, and fix while removing unnecessary phrasing.
  • Severity-Aware Feedback: Supports bug, risk, nit, and question labels to prioritize review findings clearly.
  • Use Case: Help reviewers analyze pull requests and generate paste-ready comments that focus on concrete improvements rather than explanations of obvious code behavior.

Quick Start

Ask the caveman-review skill to review the current pull request and produce concise actionable comments.

Frequently Asked Questions about caveman-review

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

FAQPage Schema
How do I write concise code review comments for pull requests?▼

To write concise code review comments, compress lengthy feedback into one-line actionable statements containing the location, problem, and fix while removing unnecessary phrasing. This ensures high-signal communication for developers.

How does severity classification work in code review feedback?▼

Severity classification in code review feedback categorizes findings into bug, risk, nit, and question labels. This severity-aware feedback prioritizes review findings clearly so developers know which issues require immediate attention versus minor stylistic notes.

What is the best way to analyze GitHub pull request diffs and provide actionable feedback?▼

Analyzing GitHub pull request diffs effectively requires generating paste-ready comments that focus on concrete improvements rather than explaining obvious code behavior. Compressed review comments highlight specific remediation guidance with clear locations and fixes.

Can I use structured review formatting for automated diff analysis workflows?▼

Structured review formatting supports diff analysis workflows by applying severity classification and concrete remediation guidance. It formats code review feedback into concise actionable findings suitable for software engineering feedback workflows requiring high-signal communication.

Why are my pull request review comments too noisy for developers to action?▼

Pull request review comments become noisy when they include lengthy explanations of obvious code behavior instead of concise actionable findings. Reducing noise requires compressing feedback into one-line comments with location, problem, and fix.

When should I not use compressed code review comments?▼

Compressed code review comments are not suitable when detailed explanations or architectural discussions are necessary. This approach targets software engineering feedback workflows requiring high-signal communication rather than comprehensive educational code reviews.

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