claude-modular

Claude Modular is a comprehensive framework template for Claude Code that organizes development workflows into modular, reusable commands across project management, development, testing, deployment, and documentation. The framework achieves 50-80% token savings through progressive disclosure and context compression, enabling 2-10x productivity gains for teams building with Claude. It provides 20+ production-ready commands following proven XML structures, layered configuration management for different environments, and built-in security controls including secret scanning, permission validation, and audit logging. Teams can customize the framework for their tech stack while maintaining consistent code review quality, automated testing coverage, and standardized deployment procedures. Integration with MCP servers extends functionality to version control, file operations, and issue tracking systems.

[{"step":"Install claude-modular framework","action":"Run `pip install claude-modular` or clone from [GitHub repository]. Configure MCP servers in `config/mcp_servers.json` for your workflow.","tip":"Enable token optimization in settings.json with 'token_optimizer': {'enabled': true, 'chunk_size': 2000}"},{"step":"Select appropriate modules for your task","action":"Use `modular list` to view available commands. For data processing, use `modular system_analyzer`. For code generation, use `modular code_generator`.","tip":"Combine modules hierarchically: `modular system_analyzer | modular service_designer | modular code_generator`"},{"step":"Configure hierarchical configuration","action":"Create a `config/project.json` file with task-specific settings. Example: {'project': 'api_migration', 'services': ['user', 'order', 'payment'], 'dependencies': ['redis', 'postgres']}","tip":"Use `modular config init` to generate template configuration files"},{"step":"Execute and validate","action":"Run `modular execute [TASK] --config config/project.json` and review the generated artifacts. Use `modular validate` to check for errors.","tip":"Enable verbose logging with `--log-level debug` for troubleshooting complex workflows"},{"step":"Iterate and optimize","action":"Use `modular analyze` to review token usage and performance metrics. Adjust chunk sizes and MCP integrations based on findings.","tip":"Save optimized configurations as templates in `config/templates/` for reuse across projects"}]