Claude Code Configuration Templates & Tools

July 3, 2025 ยท View on GitHub

Comprehensive templates and tools for setting up Claude Code workflows

Python 3.8+ License: MIT

๐Ÿš€ Quick Start

# Clone the repository
git clone https://github.com/adimenia/auto-claude-code.git
cd auto-claude-code

# Run the interactive setup tool
python tools/setup.py

๐Ÿ“š What's Included

  • ๐Ÿค– CLAUDE.md Templates: Project and global configuration templates
  • โš™๏ธ Settings Templates: Comprehensive settings.json configurations
  • ๐ŸŒ MCP Configurations: Pre-configured MCP server setups
  • ๐Ÿ› ๏ธ Interactive Setup Tool: Python tool for guided configuration
  • ๐Ÿ“‹ Development Modes: Solo and team collaboration configurations
  • ๐Ÿ“– Complete Methodology: Step-by-step workflow documentation
  • ๐ŸŽฏ Example Projects: Real-world configuration examples
  • ๐Ÿ‘ฅ Persona System: Expert personas (architect, security, DevOps, data scientist, etc.)
  • โšก Command Library: 26+ specialized commands for development workflows
  • ๐Ÿ”ง Professional Workflows: Complete automation for security, CI/CD, data science

๐ŸŽฏ Features

  • โœ… Cross-platform support (Windows, macOS, Linux, WSL)
  • โœ… Framework-specific templates (FastAPI, Django, Flask, etc.)
  • โœ… Interactive configuration generator
  • โœ… Solo and team development modes
  • โœ… Comprehensive documentation
  • โœ… Interactive configuration generation
  • โœ… Easy customization and extension
  • ๐Ÿ†• Configuration validation & health checks
  • ๐Ÿ†• Smart migration & upgrade system
  • ๐Ÿ†• Automatic backup & restore capabilities
  • ๐Ÿ†• Expert persona system with 9 specialized roles
  • ๐Ÿ†• 26+ professional-grade command templates
  • ๐Ÿ†• Complete security, DevOps, and data science workflows
  • ๐Ÿ†• MLflow, Airflow, and enterprise tool integrations

๐Ÿ“– Documentation

Core Documentation

๐Ÿ†• System References

๐Ÿ› ๏ธ Tools

Interactive Setup Tool

python tools/setup.py                    # Interactive mode
python tools/setup.py --help             # View all options

๐Ÿ†• Validation & Migration Tools

# Health check your configuration
python tools/setup.py --health-check

# Check for and apply upgrades
python tools/setup.py --upgrade

# Validate existing configuration
python tools/setup.py --validate

See Validation & Migration Guide for detailed documentation.

๐ŸŽญ Development Modes & Personas

The setup tool supports different development approaches with expert personas:

Development Modes

  • Solo Development: Individual developer workflow with personal productivity focus
  • Team Collaboration: Team-oriented configuration with shared standards and practices
  • Framework-Specific: Optimized configurations for FastAPI, Django, Flask, Data Science, CLI tools, and Web Scraping

Expert Personas (9 Available)

  • ๐Ÿ—๏ธ Architect: System design, scalability, and technical architecture
  • ๐Ÿ‘จโ€๐Ÿ’ป Developer: Code quality, patterns, and implementation best practices
  • ๐Ÿงช Tester: Testing strategies, quality assurance, and validation
  • ๐Ÿ”’ Security Engineer: Vulnerability assessment, security auditing, and compliance
  • ๐Ÿš€ DevOps Engineer: CI/CD, deployment, infrastructure, and monitoring
  • โšก Performance Engineer: Optimization, load testing, and scalability
  • ๐Ÿ“Š Product Manager: UX, business logic, and feature completeness
  • ๐Ÿ”— Integration Specialist: API design, service integration, and data flow
  • ๐Ÿง  Data Scientist: ML models, data quality, and statistical rigor

๐Ÿ—๏ธ Framework Support

FrameworkStatusTemplateMCP Servers
FastAPIโœ… Completeโœ…PostgreSQL, HTTP
Djangoโœ… Completeโœ…PostgreSQL, HTTP
Flaskโœ… Completeโœ…SQLite, HTTP
Data Scienceโœ… Completeโœ…Jupyter, Files
CLI Toolsโœ… Completeโœ…Files, HTTP
Web Scraping๐Ÿšง Betaโœ…HTTP, Browser

โšก Command Library (26+ Commands)

The template system includes a comprehensive command library organized by specialization:

๐Ÿ”’ Security Commands

  • security-audit: OWASP Top 10 vulnerability assessment with automated scanning
  • secrets-scan: Git history and codebase secrets detection with remediation
  • security-headers: HTTP security headers configuration (CSP, HSTS, etc.)

๐Ÿš€ DevOps Commands

  • setup-ci: Multi-platform CI/CD pipeline generation (GitHub Actions, GitLab, Azure)
  • containerize: Docker containerization with security hardening and K8s manifests
  • deploy-config: Cloud deployment configurations with blue-green strategies

โšก Performance Commands

  • performance-audit: Code profiling, database optimization, and bottleneck analysis
  • load-test: Progressive load testing with Locust, k6, and performance monitoring

๐Ÿ”— Data & API Commands

  • api-design: RESTful API design with OpenAPI specs and authentication strategies
  • data-migration: Database migration tools with cross-platform support
  • backup-strategy: Disaster recovery with 3-2-1 backup rule implementation

๐Ÿงช Integration Commands

  • integration-test: End-to-end testing with API testing and service mocking

๐Ÿง  Data Science Commands

  • data-exploration: Automated EDA with pandas profiling and bias detection
  • model-development: ML model training with hyperparameter tuning and MLflow
  • experiment-tracking: MLflow, Weights & Biases integration with reproducibility
  • data-pipeline: ETL/ELT pipelines with Apache Airflow and streaming capabilities

๐Ÿšง Coming Soon

  • model-deployment: ML model serving and monitoring in production
  • model-monitoring: Model drift detection and performance tracking
  • feature-engineering: Automated feature selection and engineering pipelines
  • data-governance: Data lineage, quality monitoring, and compliance frameworks

๐Ÿš€ Quick Examples

FastAPI Project Setup with Security

# Create new FastAPI project with optimized Claude config
python tools/setup.py
# Choose FastAPI framework in interactive setup
# Generated: CLAUDE.md with security-engineer persona, settings.json, .mcp.json

# Example commands available:
# /project:security-audit --framework fastapi
# /project:setup-ci --platform github-actions
# /project:containerize --multi-stage

Data Science Project Setup

# Create ML project with comprehensive data science tools
python tools/setup.py
# Choose Data Science framework in interactive setup
# Generated: Jupyter-optimized configs with data-scientist persona

# Example commands available:
# /project:data-exploration --dataset data/customers.csv --depth comprehensive
# /project:model-development --model-type classification --target churn
# /project:experiment-tracking --platform mlflow --auto-logging
# /project:data-pipeline --pipeline-type etl --orchestrator airflow

Enterprise Security & DevOps

# Set up enterprise-grade security and deployment pipeline
# Available personas: security-engineer, devops-engineer, performance-engineer

# Security workflow:
# /project:security-audit --depth comprehensive
# /project:secrets-scan --remediate
# /project:security-headers --framework django

# DevOps workflow:  
# /project:setup-ci --platform azure-devops --stages security,test,deploy
# /project:containerize --security-hardened --kubernetes
# /project:deploy-config --cloud aws --strategy blue-green

๐Ÿค Contributing

We welcome contributions! See CONTRIBUTING.md for guidelines.

Quick Contribution Ideas

  • Add new framework templates
  • Improve existing configurations
  • Create team-specific presets
  • Enhance documentation
  • Report bugs and issues

๐Ÿ“„ License

This project is licensed under the MIT License - see the LICENSE file for details.

๐ŸŒŸ Acknowledgments

  • Claude Code team for the amazing tool
  • Community contributors and feedback
  • All the developers sharing their workflow optimizations

โญ If this project helps you, please give it a star on GitHub!