code-reviewer

Review multi-language codebases across six dimensions and output prioritized remediation recommendations.

34|7|Updated Nov 29, 2025
One-click install
npx skills add https://github.com/jkitchin/skillz --skill code-reviewer-jkitchin
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: code-reviewer
Source: https://github.com/jkitchin/skillz/tree/main/skills/development/code-reviewer
Command: npx skills add https://github.com/jkitchin/skillz --skill code-reviewer-jkitchin

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill enables Claude to assess software projects across structure, docs, logic, tests, and maintainability, delivering concrete improvement recommendations.

Core Features & Use Cases

  • Multi-dimension evaluation: Project structure, documentation, logic, testing, and quality checks.
  • Actionable feedback: Specific changes with priorities.
  • Notebook & testing guidance: Optional review of notebooks and tests.

Quick Start

Ask Claude to review a Python module and return a prioritized improvement plan with suggested changes and a suggested PR checklist.

Frequently Asked Questions about code-reviewer

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

FAQPage Schema
How do I perform a structured code review across Python, R, and JavaScript projects?

Structured code reviews evaluate projects across six dimensions: project structure, documentation, logic, testing, code quality, and notebooks. This Skill systematically diagnoses issues in each area and delivers prioritized remediation recommendations applicable to multi-language codebases.

Can I get actionable code review feedback with specific improvement priorities?

Yes. The Skill generates executive summaries, detailed findings, and prioritized, actionable recommendations with suggested changes. Output is formatted for immediate integration into RAG pipelines and includes a PR checklist template.

Does this code review process cover documentation and testing strategy evaluation?

Documentation and testing strategy reviews are core components. The Skill audits doc completeness, tests coverage and design, and project structure alongside code quality and logic analysis to surface gaps across all dimensions.

How do I audit Jupyter notebooks as part of a code review?

Notebook analysis is an optional review dimension. The Skill applies structured evaluation to notebook content, structure, and quality, delivering the same prioritized remediation format as traditional code reviews.

What's the best way to identify and fix software quality issues across a multi-language codebase?

Multi-language code reviews apply language-specific checks and a unified six-dimension framework to detect structure, logic, testing, and documentation issues. The Skill outputs executable remediation steps ranked by priority and impact.