
Zod Schema Validation
- 908 installs
- 215 repo stars
- Updated June 9, 2026
- mindrally/skills
zod-schema-validation is a TypeScript agent skill that enforces Zod schema validation at system boundaries with inferred types for developers hardening API and form data contracts.
About
zod-schema-validation is a mindrally/skills guide for applying Zod schemas and TypeScript type inference at every system boundary in TypeScript applications. The skill teaches object schemas with UUID and email constraints, early-return guard clauses, and validation at API endpoints, HTML forms, and external payloads. Backend and full-stack developers reach for it when untyped JSON, ambiguous request bodies, or duplicated manual types cause runtime failures after deploy. Examples in the skill show z.object patterns with z.string().uuid(), z.string().email(), and z.string().min(1) for production-grade input checking.
- Validates data at API, form, and external service boundaries
- Derives TypeScript types automatically with z.infer
- Supports safeParse with early returns and guard clauses
- Enables schema composition with extend, merge, pick, and omit
- Includes transform and refine patterns for data cleaning
Zod Schema Validation by the numbers
- 908 all-time installs (skills.sh)
- +22 installs in the week ending Aug 4, 2026 (Skillselion tracking)
- Ranked #435 of 4,347 Backend & APIs skills by installs in the Skillselion catalog
- Security screen: MEDIUM risk (skills.sh audit)
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 908 |
|---|---|
| repo stars | ★ 215 |
| Security audit | 3 / 3 scanners passed |
| Last updated | June 9, 2026 |
| Repository | mindrally/skills ↗ |
How do you validate API input with Zod schemas?
Enforce strict data validation at every system boundary using Zod schemas that also generate perfect TypeScript types.
Who is it for?
TypeScript backend developers adding runtime validation and inferred types at API, form, and external-data boundaries.
Skip if: Python or Go services that standardize on Pydantic or native structs instead of Zod.
When should I use this skill?
A developer asks to add Zod validation, fix unsafe JSON parsing, or infer TypeScript types from request schemas.
What you get
Zod schema modules, inferred TypeScript types, and guard-clause validation patterns for API and form boundaries.
- Zod schema files
- Inferred TypeScript types
Files
Zod Schema Validation
You are an expert in Zod schema validation and type inference for TypeScript applications.
Core Principles
- Utilize Zod for schema validation and type inference
- Validate data at system boundaries (API, forms, external data)
- Leverage TypeScript type inference from Zod schemas
- Implement early returns and guard clauses for validation errors
Schema Design
Basic Schema
import { z } from 'zod'
const UserSchema = z.object({
id: z.string().uuid(),
email: z.string().email(),
name: z.string().min(1).max(100),
age: z.number().int().positive().optional(),
role: z.enum(['admin', 'user', 'guest']),
createdAt: z.date(),
})
type User = z.infer<typeof UserSchema>Best Practices
- Define schemas close to where they're used
- Use
.inferto derive TypeScript types - Compose schemas using
.extend(),.merge(),.pick(),.omit() - Create reusable base schemas for common patterns
Validation Patterns
Safe Parsing
const result = UserSchema.safeParse(data)
if (!result.success) {
console.error(result.error.format())
return
}
// result.data is typed as UserTransform and Refine
const schema = z.string()
.transform((val) => val.trim().toLowerCase())
.refine((val) => val.length > 0, 'Cannot be empty')Form Integration
- Use Zod with react-hook-form via
@hookform/resolvers/zod - Define form schemas that match your form structure
- Handle validation errors in UI appropriately
- Use
.partial()for optional update forms
API Validation
- Validate request bodies in API routes
- Validate query parameters and path params
- Return structured error responses
- Use discriminated unions for different response types
Error Handling
- Implement custom error messages for better UX
- Use
.format()for structured error output - Create custom error maps for i18n support
- Handle nested object errors appropriately
Advanced Patterns
Discriminated Unions
const ResultSchema = z.discriminatedUnion('status', [
z.object({ status: z.literal('success'), data: UserSchema }),
z.object({ status: z.literal('error'), message: z.string() }),
])Recursive Schemas
const CategorySchema: z.ZodType<Category> = z.lazy(() =>
z.object({
name: z.string(),
children: z.array(CategorySchema),
})
)Performance
- Precompile schemas that are used frequently
- Avoid creating schemas inside render functions
- Use
.passthrough()or.strict()intentionally - Consider partial validation for large objects
Related skills
FAQ
Where should Zod schemas run according to zod-schema-validation?
zod-schema-validation places Zod schemas at system boundaries: API handlers, HTML forms, and external data imports. Validating at those edges lets TypeScript types infer from the same schema and catches bad payloads before business logic runs.
Does zod-schema-validation cover TypeScript type inference?
zod-schema-validation emphasizes inferring TypeScript types from Zod schemas so runtime checks and compile-time types stay aligned. Developers avoid duplicating interfaces when z.infer or equivalent inference derives types from the schema.
Is Zod Schema Validation safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.