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Code Reviewer Dmicheneau
ASecurityComprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, se...
- 57 stars
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- Added October 17, 2026
Works with
Security analysis
92/100- Installs packages at runtime which could introduce malicious dependencies
- Installs packages at runtime which could introduce malicious dependencies
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[](https://www.skillsdirectory.com/skills/diegosouzapw-code-reviewer-dmicheneau)---
name: "code-reviewer"
description: "Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, se..."
metadata.category: "development"
---
<!-- Synced from aitmpl.com | source: davila7/claude-code-templates | category: development -->
# Code Reviewer
Complete toolkit for code reviewer with modern tools and best practices.
## Quick Start
### Main Capabilities
This skill provides three core capabilities through automated scripts:
```bash
# 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:**
```bash
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:**
```bash
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:**
```bash
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
```bash
# Install dependencies
npm install
# or
pip install -r requirements.txt
# Configure environment
cp .env.example .env
```
### 2. Run Quality Checks
```bash
# 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
- Validate all inputs
- Use parameterized queries
- Implement proper authentication
- Keep dependencies updated
### Maintainability
- Write clear code
- Use consistent naming
- Add helpful comments
- Keep it simple
## Common Commands
```bash
# 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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