caveman-review

Generate code review comments with severity levels for pull requests.

Updated May 11, 2026
One-click install
npx skills add https://github.com/guhans6/agent-workbench --skill caveman-review-guhans6
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: caveman-review
Source: https://github.com/guhans6/agent-workbench/tree/main/shared/skills/caveman-review
Command: npx skills add https://github.com/guhans6/agent-workbench --skill caveman-review-guhans6

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of creating clear and concise code review comments, reducing noise and increasing the effectiveness of feedback.

Core Features & Use Cases

  • Concise Review Comments: Provides a streamlined format for comments that focus on the problem and the fix.
  • Severity Levels: Supports different severity levels with emoji icons for clarity.
  • Automated Triggering: Automatically generates comments when reviewing pull requests.

Quick Start

Run the /caveman-review command to generate code review comments.

Frequently Asked Questions about caveman-review

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

FAQPage Schema
How do I generate concise code review comments for a pull request?

To generate concise code review comments for a pull request, run the /caveman-review command. It automates feedback creation by utilizing Markdown formatting and specific severity prefixes to focus clearly on the problem and the fix.

What are severity levels in code review feedback?

Severity levels in code review feedback categorize the importance of issues found in a pull request. This Skill uses specific severity prefixes with emoji icons to create clear, actionable feedback that reduces review noise.

Can I use Markdown formatting for automated pull request review comments?

Yes, you can use Markdown formatting for automated pull request review comments. This Skill utilizes Markdown alongside severity prefixes to generate structured, concise, and actionable feedback for code reviews.

How do I reduce noise in pull request code reviews?

You can reduce noise in pull request code reviews by generating concise, actionable comments with severity levels. This approach focuses strictly on the problem and the fix, increasing the overall effectiveness of feedback.

What is the best way to automate actionable code review feedback?

The best way to automate actionable code review feedback is using a script that applies severity prefixes and Markdown formatting. This Skill automatically generates targeted comments when reviewing pull requests to streamline the process.