code-review

Generate structured code review feedback across commits, PRs, and diffs.

6|3|Updated Dec 29, 2025
One-click install
npx skills add https://github.com/Factory-AI/skills --skill code-review-factory-ai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/Factory-AI/skills/tree/main/skills/code-review
Command: npx skills add https://github.com/Factory-AI/skills --skill code-review-factory-ai

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Provide structured, thorough code-review feedback that helps teams understand issues, edge cases, and potential improvements without ambiguity, accelerating merge readiness.

Core Features & Use Cases

  • Establish Review Target: automatically determine the scope from PR links, commits, staged changes, unstaged changes, or a provided patch.
  • Review Rubric: evaluate correctness, edge cases, API changes, maintainability, tests, performance, and security with a prioritized framework.
  • Guidance & Output: deliver actionable feedback with exact locations, concrete fix suggestions, and structured output for consistent reviews.

Quick Start

Describe the code change or provide a PR link and let Droid generate a structured review with actionable recommendations.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I get structured code review feedback on a pull request?

Structured code review feedback on a pull request is generated by analyzing the diff and evaluating correctness, edge cases, maintainability, tests, performance, and security to deliver actionable review notes with suggested fixes.

Can I review a specific commit or patch instead of a full pull request?

Yes, you can review a specific commit or patch by providing the commit hash or patch file. The review scope is automatically determined from PR links, commits, staged changes, unstaged changes, or a provided patch.

What is the best way to assess code maintainability and API stability in a diff?

Assessing code maintainability and API stability in a diff is best handled by applying a prioritized review rubric that evaluates correctness, edge cases, API changes, tests, performance, and security to generate clear, actionable feedback.

How do I ensure code review comments include exact locations and concrete fixes?

Code review comments include exact locations and concrete fixes by converging on correctness, edge cases, and security, delivering structured output that highlights specific issues and provides actionable fix suggestions.

Does automated code review cover security and performance issues?

Automated code review covers security and performance issues by applying a structured review rubric to the provided code changes, ensuring feedback addresses these critical areas alongside correctness, edge cases, API stability, and tests.

Why use structured feedback for patch assessments and code changes?

Structured feedback for patch assessments helps teams understand issues, edge cases, and potential improvements without ambiguity, accelerating merge readiness by delivering clear, actionable review notes and suggested fixes.