Enforce consistent Python type hints using modern syntax conventions.
npx skills add https://github.com/libertininick/chain-reaction --skill type-hints
Please help me install this Agent Skill. Skill: type-hints Source: https://github.com/libertininick/chain-reaction/tree/main/.claude/skills/type-hints Command: npx skills add https://github.com/libertininick/chain-reaction --skill type-hints
Type annotations are REQUIRED on all functions and classes. This Skill provides a standardized, centralized guide for Python type hints to ensure consistency, readability, and better tooling support across the codebase.
Annotate a sample function using the recommended union syntax and apply TypedDict for API-like data to see the conventions in action.
High-intent search queries and answers about installing and using this skill.
To enforce consistent Python type hints, apply standardized conventions for Optional values, unions, and TypeVars across your project. This Skill provides centralized rules for modern syntax choices like PEP 604 unions, TypedDict, and Protocols to ensure readability and better tooling support.
The best way to use modern Python typing syntax is to standardize on PEP 604 union types using the pipe character, apply TypedDict for API-like data, and use Protocols for structural subtyping. This ensures type safety, clarity, and consistent code quality across the codebase.
You need TypedDict and Protocols for Python type annotations when defining API-like data structures and structural subtyping. TypedDict specifies dictionary types with specific keys, while Protocols define interfaces for static analysis without requiring explicit inheritance.
Yes, you can use this Python typing convention guide for code reviews and onboarding. It specifies naming conventions for TypeVars, recommended documentation patterns, and modern syntax choices to satisfy type-annotation standards for new contributors.
Type annotations are required on all Python functions and classes to ensure consistency, readability, and better static analysis tooling support. This Skill provides a centralized guide to standardize these annotations and maintain code quality across large projects.
Yes, this Python type hints Skill works with static analysis and linting tools by specifying modern syntax choices and documentation patterns that satisfy type-annotation standards, improving type safety and enabling better tooling support across the codebase.
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