standards-python
Python Standards: Apply Python tooling standards including uv package management, pytest testing, ruff/basedpyright code quality, one-line docstrings, and self-documenting code practices. Use this skill when working with Python backend code, managing dependencies, running tests, or ensuring code quality. Apply when installing packages, writing tests, formatting code, type checking, adding docstrings, organizing imports, or deciding whether to create new files vs. extending existing ones. Use for any Python development task requiring adherence to tooling standards and best practices.
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API Standards: Design and implement RESTful API endpoints following REST principles with proper HTTP methods, status codes, and resource-based URLs. Use this skill when creating or modifying API endpoints, route handlers, controllers, or API configuration files. Apply when working on REST API design, endpoint implementations, API versioning, request/response handling, HTTP method routing (GET, POST, PUT, PATCH, DELETE), query parameter filtering, API rate limiting, or any file that defines API routes such as routes.py, api.js, controllers/, endpoints/, or API documentation files.
Models Standards: Define database models with clear naming, appropriate data types, constraints, relationships, and validation at multiple layers. Use this skill when creating or modifying database model files, ORM classes, schema definitions, or data model relationships. Apply when working with model files (e.g., models.py, models/, ActiveRecord classes, Prisma schema, Sequelize models), defining table structures, setting up foreign keys and relationships, configuring cascade behaviors, implementing model validations, adding timestamps, or working with database constraints (NOT NULL, UNIQUE, foreign keys). Use for any task involving data integrity enforcement, relationship definitions, or model-level data validation.
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