Validate TypeScript data with Zod schemas and infer static types.
npx skills add https://github.com/Alteriom/ai-dev-skills --skill zod-alteriom
Please help me install this Agent Skill. Skill: Zod Source: https://github.com/Alteriom/ai-dev-skills/tree/main/skills/zod Command: npx skills add https://github.com/Alteriom/ai-dev-skills --skill zod-alteriom
TypeScript-first schema validation with static type inference enables developers to enforce data contracts at runtime while retaining full TypeScript type safety.
Define a Zod schema for your API input and use parse or safeParse at the boundary to validate data.
High-intent search queries and answers about installing and using this skill.
TypeScript type inference from runtime validation schemas is achieved by defining Zod schemas and using z.infer to automatically generate static types, ensuring your runtime validation and compile-time types share a single source of truth.
To validate API input safely without throwing errors, use the safeParse method on a Zod schema instead of parse, which returns a structured success or error object rather than throwing an exception on invalid data.
Yes, Zod schemas can be used for form validation with Next.js and React by integrating with frontend form libraries like React Hook Form, providing end-to-end type-safe validation from the API boundary to the UI.
The best way to enforce API contracts end-to-end in a TypeScript stack is using Zod schemas across frameworks like tRPC and Prisma, ensuring runtime validation and type inference align seamlessly from database to frontend.
Zod supports custom refinements and transforms for complex data validation, allowing you to add custom validation rules, transform data types during parsing, and handle asynchronous checks with async refinements.
Runtime validation is necessary because TypeScript types only exist at compile-time and cannot validate external data like API inputs or environment variables at runtime, a gap Zod fills by enforcing data contracts during execution.
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