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MohammedSaudAlsahli
MohammedSaudAlsahliCOMMUNITY
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𝕏@MohammedDentalHGitHub

caveman-review

Generate concise code review comments with severity levels for pull requests.

Updated Mar 11, 2025
Search Tags:#developer tools#code review#pull request#issue tracking#concise feedback
One-click install
npx skills add https://github.com/MohammedSaudAlsahli/dotfiles --skill caveman-review-mohammedsaudalsahli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: caveman-review
Source: https://github.com/MohammedSaudAlsahli/dotfiles/tree/main/ai/agents-skills/caveman-review
Command: npx skills add https://github.com/MohammedSaudAlsahli/dotfiles --skill caveman-review-mohammedsaudalsahli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the issue of lengthy, unstructured code review comments by providing concise, actionable feedback that focuses on the essential details.

Core Features & Use Cases

  • Concise Feedback: Generates one-line comments that include location, severity, problem, and fix.
  • Customizable Severity Levels: Offers different severity levels (bug, risk, nit, question) to categorize issues effectively.
  • Automated Triggering: Automatically triggers when reviewing pull requests or using specific commands.

Quick Start

Run /caveman-review to generate code review comments for the current pull request.

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 automatically analyzes the pull request and produces one-line comments detailing the location, severity, problem, and suggested fix.

What is the best way to categorize issues found during pull request reviews?▼

Categorizing issues found during pull request reviews is best handled using customizable severity levels. This approach categorizes issues into bug, risk, nit, and question levels to structure feedback effectively and highlight critical problems.

Can I automate code review feedback to avoid lengthy, unstructured comments?▼

You can automate code review feedback to avoid lengthy comments by triggering automated scripts during pull request reviews. This mechanism automatically generates concise, actionable one-line feedback focusing on essential details.

Do I need Python to execute automated code review scripts?▼

Yes, you need Python installed in your environment to execute these automated code review scripts. Python is required to run the scripts that generate the concise, actionable feedback for your pull requests.

Does automated code review triggering work with specific commands or only pull request reviews?▼

Automated code review triggering works with both specific commands and pull request reviews. You can manually invoke the process using the /caveman-review command, or it will trigger automatically when a pull request review begins.

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