code-review

Coordinate subagents to review diffs, commits, and PRs with severity-filtered findings.

1|Updated Mar 24, 2026
One-click install
npx skills add https://github.com/joesys/joesys-skills --skill code-review-joesys
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-review
Source: https://github.com/joesys/joesys-skills/tree/main/skills/code-review
Command: npx skills add https://github.com/joesys/joesys-skills --skill code-review-joesys

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Analyze codebases automatically to surface correctness, code quality, architecture, reliability, security, and performance violations, delivering structured findings with concrete before/after guidance.

Core Features & Use Cases

  • Parallel domain analysis across seven focus areas (correctness, clean code, architecture, reliability, security, performance, story readability)
  • Deduplication and cross-model corroboration to provide a coherent, confidence-weighted report
  • Phase-driven workflow (scope resolution, per-cluster or per-file analysis, synthesis) suitable for small diffs or large changes
  • Actionable synthesis with prioritized findings and ready-to-apply fix guidance

Quick Start

Invoke /code-review on the targeted code changes to generate a comprehensive, prioritized review report.

Frequently Asked Questions about code-review

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

FAQPage Schema
How do I automate code reviews for large pull requests?

Automate code reviews for large pull requests by using a phase-driven workflow that resolves scope, performs parallel subagent analysis across domains, and synthesizes prioritized findings. This handles varying diff sizes without manual line-by-line inspection.

What is parallel domain analysis in automated code review?

Parallel domain analysis in automated code review evaluates seven focus areas concurrently: correctness, clean code, architecture, reliability, security, performance, and readability. This mechanism surfaces comprehensive violations across multiple disciplines simultaneously.

How do I deduplicate and filter code violations by severity?

Deduplicate and filter code violations by severity through cross-model aggregation and corroboration. The process removes overlapping findings from parallel analyses and outputs a confidence-weighted synthesis with only prioritized, actionable results.

Can I use automated code review on individual commits and small diffs?

Automated code review applies to individual commits and small diffs through a scoped phase-driven workflow. It resolves the change scope first, then executes targeted per-cluster or per-file analysis to provide structured findings.

Does cross-model code review provide before and after fix guidance?

Cross-model code review provides concrete before and after fix guidance. By aggregating and corroborating findings across multiple models, it delivers actionable synthesis with ready-to-apply code corrections for identified architectural and security issues.

What is the best way to review codebase architecture and security violations?

The best way to review codebase architecture and security violations is dispatching parallel domain-specific subagents. This approach applies targeted analysis to specific focus areas, ensuring comprehensive coverage of reliability and performance issues.