How does the skill handle untyped third-party libraries?

It provides strategies for creating custom type definitions (d.ts files), contributing to DefinitelyTyped, or using runtime validation to wrap untyped outputs.

Can I use this for runtime validation?

Yes, it includes specific implementation patterns for Zod and manual type guards to bridge the gap between dynamic input and static type safety.

Which programming languages are supported by this skill?

The skill provides specific guidance for TypeScript, Python, and Go, but its core principles apply to any typed language including Java, Rust, and C#.

Will this skill slow down my development process?

While defining strict types may take more initial time, it significantly reduces long-term technical debt, prevents runtime bugs, and improves IDE support for faster development later.

Strict Type Enforcement

Name: Strict Type Enforcement
Author: troykelly

bytroykelly

Developer Tools

Enforces rigorous type safety and eliminates type escapes to ensure robust, self-documenting codebases.

About

Strict Type Enforcement is a specialized Claude Code skill designed to eliminate technical debt caused by loose typing. It mandates the use of explicit, accurate types across various languages including TypeScript, Python, and Go, while strictly forbidding the use of escapes like 'any', 'unknown', or '@ts-ignore'. By providing standardized patterns for generics, type guards, and runtime validation with tools like Zod, this skill helps developers build highly maintainable, refactor-safe applications that leverage the full power of modern compilers and IDEs.

Key Features

Generic and union type implementation strategies
Advanced runtime validation patterns using Zod and Type Guards
Strict compiler configuration for TypeScript and Python
Standardized handling for untyped third-party libraries
Elimination of 'any' and 'unknown' type escapes
0 GitHub stars

Use Cases

Refactoring legacy codebases to improve type coverage and safety
Ensuring robust API integrations with validated runtime data
Architecting complex data structures for large-scale enterprise applications

About

Key Features

Generic and union type implementation strategies
Advanced runtime validation patterns using Zod and Type Guards
Strict compiler configuration for TypeScript and Python
Standardized handling for untyped third-party libraries
Elimination of 'any' and 'unknown' type escapes
0 GitHub stars

Use Cases

Refactoring legacy codebases to improve type coverage and safety
Ensuring robust API integrations with validated runtime data
Architecting complex data structures for large-scale enterprise applications