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caveman-review

Generate terse one-line code review comments for pull request diffs.

2|1|Updated Mar 26, 2026
Search Tags:#diff#static-analysis#lint#code-review#pull-request#review-automation#comment-generation
One-click install
npx skills add https://github.com/huangzida/skills --skill caveman-review-huangzida
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: caveman-review
Source: https://github.com/huangzida/skills/tree/main/caveman-review
Command: npx skills add https://github.com/huangzida/skills --skill caveman-review-huangzida

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill reduces PR review noise by converting feedback into ultra-compact one-line comments that pinpoint location, problem, and fix.

Core Features & Use Cases

  • Produces terse, actionable review comments one line per finding.
  • Uses exact line numbers and code identifiers to preserve clarity in diffs.
  • Auto-triggers when users request a review or say "review this PR".

Quick Start

Ask the AI to generate terse, one-line code review comments for the given diff in the L<line> format.

Frequently Asked Questions about caveman-review

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

FAQPage Schema
How do I automate code review comments for pull request diffs?▼

Automated code review for pull request diffs generates terse one-line comments pinpointing location, problem, and fix. It converts feedback into ultra-compact output using exact line numbers and code identifiers to reduce review noise across common languages.

What is the best way to generate concise lint comments for a multi-file diff?▼

Generating concise lint comments for a multi-file diff applies static-analysis to produce one actionable finding per line. It enforces exact symbol names and severity prefixes while preserving diff context in the output for clarity.

Does review-automation work with single-file diffs across common programming languages?▼

Review-automation works with single-file diffs across common programming languages by applying static-analysis to identify problems. It auto-triggers when requesting a PR review and outputs location, problem, and fix in a concise format.

How do I write static-analysis output that includes exact line numbers and fix suggestions?▼

Static-analysis output includes exact line numbers and fix suggestions by enforcing a concise L<line> format for code review comments. This format pinpoints the location, problem, and fix in one line to preserve clarity in pull request diffs.

Why use one-line comment generation instead of detailed code review reports?▼

One-line comment generation reduces PR review noise by converting feedback into ultra-compact actionable statements. It pinpoints location, problem, and fix concisely, enforcing exact line numbers and code identifiers to maintain clarity without overwhelming detailed reports.

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