技能创建器
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创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
code-reviewer【数据与研究】Comprehensive code review skill for TypeScript, JavaScript, Python, Swift, Kotlin, Go. Includes automated code analysis, best practice checking, security scanning, and review checklist generation. Use when reviewing pull requests, providing code feedback, identifying issues, or ensuring code quality standards.
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
Complete toolkit for code reviewer with modern tools and best practices.
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]
Automated tool for pr analyzer tasks.
Features:
Usage:
python scripts/pr_analyzer.py <project-path> [options]
Comprehensive analysis and optimization tool.
Features:
Usage:
python scripts/code_quality_checker.py <target-path> [--verbose]
Advanced tooling for specialized tasks.
Features:
Usage:
python scripts/review_report_generator.py [arguments] [options]
Comprehensive guide available in references/code_review_checklist.md:
Complete workflow documentation in references/coding_standards.md:
Technical reference guide in references/common_antipatterns.md:
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
# Install dependencies
npm install
# or
pip install -r requirements.txt
# Configure environment
cp .env.example .env
# Use the analyzer script
python scripts/code_quality_checker.py .
# Review recommendations
# Apply fixes
Follow the patterns and practices documented in:
references/code_review_checklist.mdreferences/coding_standards.mdreferences/common_antipatterns.md# 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/
Check the comprehensive troubleshooting section in references/common_antipatterns.md.
references/code_review_checklist.mdreferences/coding_standards.mdreferences/common_antipatterns.mdscripts/ directory