Establishes standardized coding rules, naming conventions, and architectural principles for consistent AI-human collaboration.
The Phase 2 Convention skill is designed to lay a solid foundation for new software projects by defining clear coding standards and architectural guidelines. It automates the creation of comprehensive documentation for naming conventions (PascalCase, camelCase, kebab-case), folder structures, and Clean Architecture layers. By standardizing environment variable management and security principles early in the development process, this skill ensures that both AI agents and developers maintain a high-quality, maintainable codebase that scales from small starter projects to complex enterprise systems.
Key Features
01Comprehensive environment variable security and naming templates
02Automated generation of CONVENTIONS.md and architectural documentation
03Scalable rule sets for Starter, Dynamic, and Enterprise project levels
040 GitHub stars
05Standardized naming rules for components, functions, and file structures
06Clean Architecture implementation with defined layer responsibilities
Use Cases
01Setting up environment variable schemas and security checklists
02Initializing a new project with robust coding and naming standards
03Defining architectural boundaries and dependency rules for a clean codebase