code-reviewer-hvn

Files (7)

• SKILL.md
• code_review_checklist.md · references/
• coding_standards.md · references/
• common_antipatterns.md · references/
• code_quality_checker.py · scripts/
• pr_analyzer.py · scripts/
• review_report_generator.py · scripts/

SKILL.md (first lines)

# 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

From henryvn27/agent-skills, MIT.

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