zod-schema

Centralize Zod schemas for validation and type inference across frontend and backend.

Updated Apr 22, 2026
One-click install
npx skills add https://github.com/Shockwave2k/team-claude-skills --skill zod-schema
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: zod-schema
Source: https://github.com/Shockwave2k/team-claude-skills/tree/main/skills/shared/zod-schema
Command: npx skills add https://github.com/Shockwave2k/team-claude-skills --skill zod-schema

SYSTEM DOCUMENTATION & REQUIREMENTS

Zod is the single source of truth for validation and types across our stack. Backends use it for request/response validation. Frontends use it for form validation and for inferring types from shared schemas.

What problem does it solve?

Reuses and standardizes Zod schemas to prevent duplication, drift, and inconsistent validation rules across FE and BE.

Core Features & Use Cases

  • Reuse and standardize Zod schemas across frontend and backend.
  • Convert Zod to JSON Schema via @sinclair/typemap for Fastify integration.
  • Provide clear naming conventions and separation of input/output schemas to prevent leakage of server-only fields.

Quick Start

Import the shared Zod schema (e.g., ThingSchema) into your FE and BE code and reuse it everywhere.

Frequently Asked Questions about zod-schema

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

FAQPage Schema
How do I share Zod schemas between frontend and backend without validation drift?

Centralize Zod schemas in a shared monorepo library to prevent duplication and inconsistent validation rules across frontend and backend. Both stacks import the same schema definitions, eliminating validation drift and ensuring consistent type inference.

Can I convert Zod schemas to JSON Schema for Fastify integration?

Yes, convert Zod schemas to JSON Schema using @sinclair/typemap for Fastify integration. This generates standard JSON Schema definitions from your centralized Zod validation rules, enabling Fastify's native schema validation and serialization.

How do I separate input and output schemas to prevent server-only field leakage?

Separate input and output schemas using clear naming conventions to prevent server-only field leakage. This distinction ensures backend-generated fields are never exposed to frontend consumers through shared Zod schema definitions.

Does this schema standardization approach work for monorepo projects with shared libraries?

Yes, this Zod schema standardization approach is designed for monorepo projects with shared libraries. Schemas are defined once in a shared package and consumed by multiple apps across the frontend and backend.

Why do I need separate Zod schemas for request validation and form validation?

You need separate Zod schemas for request validation and form validation to satisfy strictness requirements and prevent server-only field leakage. Backend schemas validate API requests, while frontend schemas validate forms and infer types.