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yonatangross
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type-safety-validation

Enforce end-to-end type safety across frontend and backend data contracts.

3|Updated Dec 27, 2025
Search Tags:#typescript#branding#openapi#zod#trpc#type-safety#prisma
One-click install
npx skills add https://github.com/yonatangross/create-yg-app --skill type-safety-validation-yonatangross
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: type-safety-validation
Source: https://github.com/yonatangross/create-yg-app/tree/main/.claude/skills/type-safety-validation
Command: npx skills add https://github.com/yonatangross/create-yg-app --skill type-safety-validation-yonatangross

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides end-to-end type safety across front-end and back-end data contracts, reducing runtime errors caused by mismatched structures.

Core Features & Use Cases

  • Runtime validation with Zod to ensure API inputs and outputs conform to schemas.
  • Type-safe APIs through tRPC and Prisma for a fully typed stack.
  • End-to-end patterns including branded IDs, exhaustive type checking, and Python ↔ TS integration workflows.
  • Use Case: When building a dashboard with a TS frontend and a Python backend, share contract types and validate data consistently across boundaries.

Quick Start

Use the included TypeScript templates to validate a sample API response with Zod, wire up a tRPC router, and verify end-to-end type safety in a small demo.

Frequently Asked Questions about type-safety-validation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I enforce end-to-end type safety between a TypeScript frontend and a Python backend?▼

End-to-end type safety across a TypeScript frontend and Python backend is enforced by sharing contract types and validating data consistently across boundaries using Zod and Pydantic, reducing runtime errors caused by mismatched data structures.

What is the best way to keep generated types in sync when using tRPC and Prisma?▼

Keeping generated types in sync when using tRPC and Prisma requires applying reusable schemas and enforcing type-safe APIs, ensuring that database ORM contracts automatically propagate to the frontend without manual type definitions.

How do I validate API inputs and outputs at runtime using Zod in a full-stack TypeScript project?▼

Validating API inputs and outputs at runtime using Zod in a full-stack TypeScript project involves defining reusable schemas that parse incoming data, ensuring API responses conform to expected structures before reaching the client application.

Does this type-safety approach support cross-language type sharing with Python backends?▼

This type-safety approach supports cross-language type sharing with Python backends by using OpenAPI mappings and Pydantic, enabling exhaustive checks and consistent data validation between Python services and TypeScript clients.

When should I use branded IDs and exhaustive type patterns in my API contracts?▼

Branded IDs and exhaustive type patterns should be used in API contracts when you need to prevent accidental mixing of different entity identifiers at compile-time and ensure all possible data variations are explicitly handled across your stack.

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