This skill serves as a robust template for establishing project-specific guidelines within Claude Code, modeled after production-grade AI applications like Zenith. It equips developers with a structured framework covering specific technology stacks (Next.js, FastAPI, and Supabase), directory organization, and standardized API patterns. By implementing these guidelines, teams ensure consistency across the codebase, streamline AI-assisted development, and maintain high code quality through enforced rules like TDD, immutability, and structured error handling.
Key Features
01Standardized API response and request patterns for frontend-backend synchronization
02Integrated testing requirements for both backend (pytest) and frontend (React Testing Library)
03Deployment checklists and environment variable management for Google Cloud Run
04Structured AI integration patterns using Claude API and Pydantic models
0561 GitHub stars
06Comprehensive architecture mapping for Next.js and FastAPI stacks
