felipereisdev

felipereisdev / code-review-skill

Public

🎯 Agent Skill for Claude Code, Codex, OpenCode... - Code review skills and patterns

18
1
100% credibility
Found Mar 19, 2026 at 18 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
AI Summary

This project is a plug-in skill for AI coding helpers that delivers detailed code reviews covering security, performance, architecture, and more across many project types.

How It Works

1
🔍 Discover the Code Review Helper

You hear about a smart tool that lets your AI buddy check your code for mistakes and improvements.

2
📥 Add It to Your AI

You grab the tool and tuck it into your AI assistant's ready-to-use spot, like adding a new app to your phone.

3
💬 Ask for a Review

In your chat with the AI, you simply say the magic words to start checking your code.

4
Choose Your Focus
📝
Recent Changes

Look at files you've tweaked but not saved yet.

✅
Ready to Share

Check only the bits you've marked as good to go.

🌿
Whole Update

Compare your current work against the main version.

🎯
Specific Spot

Zoom in on one exact change or a set of them.

5
🔬 AI Dives Deep

Your AI automatically figures out your project's style and hunts for issues in security, speed, bugs, and more.

6
📋 Get the Full Report

You receive a neat list of findings sorted by how serious they are, with simple fixes for each.

🎉 Stronger Code Ahead

Your project is now safer, faster, and better overall, thanks to the helpful insights.

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Star Growth

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AI-Generated Review

What is code-review-skill?

This is an agent skill for AI coding tools like Claude Code, OpenCode, and Cursor that runs structured code reviews on your git diffs or branches. It auto-detects your tech stack from 17+ options like React, Node.js, Laravel, or Docker, then checks 15 categories from security to privacy with severity levels: critical, warning, suggestion. You invoke it via simple commands like `/code-review` in your agent github claude or agent skills vscode setup, pick a scope like uncommitted changes or branch diff, and get a table summary plus file-specific fixes.

Why is it gaining traction?

It stands out with universal compatibility through the Agent Skills Standard, working across agent github copilot intellij, agent github copilot reddit discussions, or any agent skills io marketplace tool—no vendor lock-in. Developers hook on the pattern-specific rules for Clean Architecture, DDD, or CQRS, plus multi-stack coverage that spits out actionable reports without manual config. In agent skills github repos, it's praised for turning vague AI feedback into prioritized checklists.

Who should use this?

Backend devs on Node, Python, or Spring building microservices who skip manual reviews. Frontend teams with React Native or Vue tired of hunting N+1 queries and accessibility gaps in PRs. Solo contributors using agent github code or agent skills anthropic for quick pre-push audits on uncommitted changes.

Verdict

Try it if you're in the agent skills library ecosystem—solid docs and MIT license make setup dead simple, but with 18 stars and 1.0% credibility score, it's early-stage; expect tweaks as community grows. Worth cloning for agent github repo experiments, not production pipelines yet.

(198 words)

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