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.