Define and enforce consistent Python enum patterns with StrEnum and IntEnum.
npx skills add https://github.com/cruldra/skills --skill enum-best-practices
Please help me install this Agent Skill. Skill: enum-best-practices Source: https://github.com/cruldra/skills/tree/main/skills/enum-best-practices Command: npx skills add https://github.com/cruldra/skills --skill enum-best-practices
Defines and enforces robust, consistent Enum usage in Python projects, eliminating confusion from scattered patterns and ad-hoc implementations.
Provide a ready-to-use enum pattern for a Python project that needs a robust Status type.
High-intent search queries and answers about installing and using this skill.
The best way to define Python enums is by inheriting from str/Enum, StrEnum, or IntEnum to ensure robust value handling and consistent serialization. This prevents scattered patterns and ad-hoc implementations across web apps and data processing tasks.
To serialize Python enums for JSON and Pydantic, use StrEnum or str/Enum inheritance so values natively convert to strings. This integration ensures smooth API responses and data validation without custom serialization logic.
Yes, these Python enum best practices support ORM database integrations by defining safe value handling and clear organization. Inline inside-model enums and external enums maintain data integrity across web apps and data processing scenarios.
Handle missing or invalid Python enum values by implementing the _missing_ hook and adding error guards. This edge-case handling ensures safe value processing and prevents crashes during data parsing or API integrations.
Yes, Python enums work seamlessly with pattern matching and FastAPI integrations. Following these best practices ensures your enums integrate smoothly into API endpoints and structural pattern matching logic without errors.
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