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Breaks down how the skill works and what it produces, so you can quickly judge whether it fits your scenario and value.
When adding type annotations, implementing generic classes, defining structural interfaces (Protocols), or configuring mypy/pyright for strict checking in Python code.
mypy --strict or pyright in CI for early error catchingdetails.md for advanced patterns when neededType-safe Python code with enforced documentation, fewer runtime errors, and validated interfaces via static analysis.
Use Cases
A team maintains a large Python library with frequent contributions. They use this skill to annotate all public APIs and configure mypy --strict in CI. New PRs are checked automatically, preventing None-handling bugs and interface mismatches before merge, improving code reliability and onboarding speed.
A developer builds a reusable generic Result container for error handling. Using this skill's generic and Protocol patterns, they preserve type info across functions and define structural interfaces without inheritance, making the library robust and easy to consume with editor type hints.
Skill Relationships
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