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Code reviewer

Skill foryourhealth111-pixel/Vibe-Skills/bundled/skills/code-reviewer

VibeSkills is a general-purpose Skill that automatically routes local Skills and intelligently orchestrates harness workflows.

Install
npx -y skills add foryourhealth111-pixel/Vibe-Skills --skill code-reviewer

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What its author says it does

Copied from the file, not written here

Default code-quality route for broad code review, PR review, maintainability, correctness, and regression-risk checks. Do not use as the primary route for dedicated OWASP/security audits, review-feedback handling, completion verification, AI-code cleanup, or TDD/test-first work.

SKILL.md

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Code Reviewer

Complete toolkit for code reviewer with modern tools and best practices.

Routing Boundary

Use code-reviewer when the user asks for a fresh review of code or a PR:

  • correctness and likely bugs
  • maintainability and readability
  • regression risk
  • test coverage gaps from a reviewer's point of view

Do not let this skill own narrower problems:

  • security-reviewer owns OWASP, secret leak, auth bypass, injection, and dedicated security audit prompts.
  • receiving-code-review owns existing CodeRabbit/GitHub/human review comments.
  • verification-before-completion owns final evidence before claiming work is done.
  • deslop owns cleanup of AI-generated comments, redundant guards, and boilerplate.
  • tdd-guide owns test-first or RED -> GREEN -> REFACTOR development.

Migrated Legacy Assets

The legacy review wrapper has been absorbed into this direct route owner.

  • references/python-style-guide.md contains the retained Python naming, import, documentation, error-handling, and secret-handling guidance.
  • scripts/check_style.py is a lightweight stdin/string style checker for quick local review support.

Use these assets as supporting material inside code-reviewer; do not route to the deleted wrapper skill.

Quick Start

Main Capabilities

This skill provides three core capabilities through automated scripts:

# Script 1: Pr Analyzer
python scripts/pr_analyzer.py [options]

# Script 2: Code Quality Checker
python scripts/code_quality_checker.py [options]

# Script 3: Review Report Generator
python scripts/review_report_generator.py [options]

Core Capabilities

1. Pr Analyzer

Automated tool for pr analyzer tasks.

Features:

  • Automated scaffolding
  • Best practices built-in
  • Configurable templates
  • Quality checks

Usage:

python scripts/pr_analyzer.py <project-path> [options]

2. Code Quality Checker

Comprehensive analysis and optimization tool.

Features:

  • Deep analysis
  • Performance metrics
  • Recommendations
  • Automated fixes

Usage:

python scripts/code_quality_checker.py <target-path> [--verbose]

3. Review Report Generator

Advanced tooling for specialized tasks.

Features:

  • Expert-level automation
  • Custom configurations
  • Integration ready
  • Production-grade output

Usage:

python scripts/review_report_generator.py [arguments] [options]

Reference Documentation

Code Review Checklist

Comprehensive guide available in references/code_review_checklist.md:

  • Detailed patterns and practices
  • Code examples
  • Best practices
  • Anti-patterns to avoid
  • Real-world scenarios

Coding Standards

Complete workflow documentation in references/coding_standards.md:

  • Step-by-step processes
  • Optimization strategies
  • Tool integrations
  • Performance tuning
  • Troubleshooting guide

Common Antipatterns

Technical reference guide in references/common_antipatterns.md:

  • Technology stack details
  • Configuration examples
  • Integration patterns
  • Security considerations
  • Scalability guidelines

Tech Stack

Languages: TypeScript, JavaScript, Python, Go, Swift, Kotlin Frontend: React, Next.js, React Native, Flutter Backend: Node.js, Express, GraphQL, REST APIs Database: PostgreSQL, Prisma, NeonDB, Supabase DevOps: Docker, Kubernetes, Terraform, GitHub Actions, CircleCI Cloud: AWS, GCP, Azure

Development Workflow

1. Setup and Configuration

# Install dependencies
npm install
# or
pip install -r requirements.txt

# Configure environment
cp .env.example .env

2. Run Quality Checks

# Use the analyzer script
python scripts/code_quality_checker.py .

# Review recommendations
# Apply fixes

3. Implement Best Practices

Follow the patterns and practices documented in:

  • references/code_review_checklist.md
  • references/coding_standards.md
  • references/common_antipatterns.md

Best Practices Summary

Code Quality

  • Follow established patterns
  • Write comprehensive tests
  • Document decisions
  • Review regularly

Performance

  • Measure before optimizing
  • Use appropriate caching
  • Optimize critical paths
  • Monitor in production

Security

  • Flag obvious security risks during a general review.
  • Route dedicated OWASP, auth, secret, injection, or threat-model requests to security-reviewer.

Maintainability

  • Write clear code
  • Use consistent naming
  • Add helpful comments
  • Keep it simple

Common Commands

# Development
npm run dev
npm run build
npm run test
npm run lint

# Analysis
python scripts/code_quality_checker.py .
python scripts/review_report_generator.py --analyze

# Deployment
docker build -t app:latest .
docker-compose up -d
kubectl apply -f k8s/

Troubleshooting

Common Issues

Check the comprehensive troubleshooting section in references/common_antipatterns.md.

Getting Help

  • Review reference documentation
  • Check script output messages
  • Consult tech stack documentation
  • Review error logs

Resources

  • Pattern Reference: references/code_review_checklist.md
  • Workflow Guide: references/coding_standards.md
  • Technical Guide: references/common_antipatterns.md
  • Tool Scripts: scripts/ directory

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