
type-safety-validation
by yonatangross
The Complete AI Development Toolkit for Claude Code — 159 skills, 34 agents, 20 commands, 144 hooks. Production-ready patterns for FastAPI, React 19, LangGraph, security, and testing.
SKILL.md
name: type-safety-validation description: End-to-end type safety with Zod, tRPC, Prisma, and TypeScript 5.7+ patterns. Use when creating Zod schemas, setting up tRPC, validating input, implementing exhaustive switch statements, branded types, or type checking with ty. context: fork agent: frontend-ui-developer version: 1.1.0 author: AI Agent Hub tags: [typescript, zod, trpc, prisma, type-safety, validation, exhaustive-types, branded-types, 2026] user-invocable: false
Type Safety & Validation
Overview
When to use this skill:
- Building type-safe APIs (REST, RPC, GraphQL)
- Validating user input and external data
- Ensuring database queries are type-safe
- Creating end-to-end typed full-stack applications
- Implementing strict validation rules
Core Stack Quick Reference
| Tool | Purpose | Key Pattern |
|---|---|---|
| Zod | Runtime validation | z.object({}).safeParse(data) |
| tRPC | Type-safe APIs | t.procedure.input(schema).query() |
| Prisma | Type-safe ORM | Auto-generated types from schema |
| TypeScript 5.7+ | Compile-time safety | satisfies, const params, decorators |
Zod Essentials
import { z } from 'zod'
// Define schema
const UserSchema = z.object({
id: z.string().uuid(),
email: z.string().email(),
age: z.number().int().positive().max(120),
role: z.enum(['admin', 'user', 'guest']),
createdAt: z.date().default(() => new Date())
})
// Infer TypeScript type
type User = z.infer<typeof UserSchema>
// Validate with error handling
const result = UserSchema.safeParse(data)
if (result.success) {
const user: User = result.data
} else {
console.error(result.error.issues)
}
See: references/zod-patterns.md for transforms, refinements, discriminated unions, and recursive types.
tRPC Essentials
import { initTRPC } from '@trpc/server'
import { z } from 'zod'
const t = initTRPC.create()
export const appRouter = t.router({
getUser: t.procedure
.input(z.object({ id: z.string() }))
.query(async ({ input }) => {
return await db.user.findUnique({ where: { id: input.id } })
}),
createUser: t.procedure
.input(z.object({ email: z.string().email(), name: z.string() }))
.mutation(async ({ input }) => {
return await db.user.create({ data: input })
})
})
export type AppRouter = typeof appRouter
See: references/trpc-setup.md for middleware, authentication, React integration, and error handling.
Exhaustive Type Checking
// ALWAYS use assertNever for compile-time exhaustiveness
function assertNever(x: never): never {
throw new Error("Unexpected value: " + x)
}
type Status = 'pending' | 'running' | 'completed' | 'failed'
function getStatusColor(status: Status): string {
switch (status) {
case 'pending': return 'gray'
case 'running': return 'blue'
case 'completed': return 'green'
case 'failed': return 'red'
default: return assertNever(status) // Compile-time check!
}
}
// Exhaustive record mapping
const statusColors = {
pending: 'gray',
running: 'blue',
completed: 'green',
failed: 'red',
} as const satisfies Record<Status, string>
See: references/typescript-advanced.md for handler objects, type guards, and anti-patterns.
Branded Types
TypeScript (with Zod):
const UserId = z.string().uuid().brand<'UserId'>()
const AnalysisId = z.string().uuid().brand<'AnalysisId'>()
type UserId = z.infer<typeof UserId>
type AnalysisId = z.infer<typeof AnalysisId>
function deleteAnalysis(id: AnalysisId): void { ... }
deleteAnalysis(userId) // Error: UserId not assignable to AnalysisId
Python (with NewType):
from typing import NewType
from uuid import UUID
AnalysisID = NewType("AnalysisID", UUID)
ArtifactID = NewType("ArtifactID", UUID)
def delete_analysis(id: AnalysisID) -> None: ...
delete_analysis(artifact_id) # Error with mypy/ty
See: references/typescript-advanced.md for factory patterns and pure TypeScript branding.
Python Type Safety with Ty
from typing import cast
# Type-safe extraction from untyped dict
result = {"findings": {...}, "confidence_score": 0.85}
findings_to_save: dict[str, object] | None = (
cast("dict[str, object]", result.get("findings"))
if isinstance(result.get("findings"), dict) else None
)
confidence_to_save: float | None = (
float(result.get("confidence_score"))
if isinstance(result.get("confidence_score"), (int, float)) else None
)
See: references/ty-type-checker-patterns.md for mixed numeric handling and nested dict extraction.
References
| Reference | Content |
|---|---|
references/zod-patterns.md | Schemas, transforms, refinements, unions, recursion, error handling |
references/trpc-setup.md | Server setup, middleware, routers, client integration, subscriptions |
references/typescript-5-features.md | TS 5.0-5.7 features, satisfies, decorators, strict config |
references/typescript-advanced.md | Exhaustive patterns, branded types, type guards |
references/ty-type-checker-patterns.md | Python ty compliance, dict extraction, type narrowing |
references/prisma-types.md | Prisma ORM types, queries, relations |
Best Practices
Validation
- Validate at boundaries (API inputs, form submissions, external data)
- Use
.safeParse()to handle errors gracefully - Use branded types for IDs (
z.string().brand<'UserId'>())
Type Safety
- Enable
strict: trueintsconfig.json - Use
noUncheckedIndexedAccessfor safer array access - Prefer
unknownoverany - Exhaustive switches: Always use
assertNeverin default case - Exhaustive records: Use
satisfies Record<UnionType, Value>
Performance
- Reuse schemas (don't create inline in hot paths)
- Use
.parse()for known-good data (faster than.safeParse()) - Use tRPC batching for multiple queries
Resources
Related Skills
input-validation- Security-focused validation and sanitization patternsapi-design-framework- REST API design with type-safe contractsfastapi-advanced- Python backend with Pydantic type validation
Key Decisions
| Decision | Choice | Rationale |
|---|---|---|
| Runtime Validation | Zod | Best DX, excellent TypeScript inference, composable schemas |
| API Layer | tRPC | End-to-end type safety without code generation |
| Exhaustive Checks | assertNever | Compile-time guarantee for union completeness |
| Branded Types | Zod .brand() | Prevents ID type confusion with minimal overhead |
Skill Version: 1.2.0 Last Updated: 2025-12-27 Maintained by: AI Agent Hub Team
Capability Details
zod-schemas
Keywords: zod, schema, validation, parse, safeParse, infer, refine, transform Solves:
- How do I validate input with Zod?
- Create runtime validation schema
- Infer TypeScript types from Zod
- Transform and refine data with Zod
exhaustive-types
Keywords: exhaustive, assertNever, never assertion, switch exhaustive, compile-time exhaustiveness Solves:
- How do I make switch statements exhaustive?
- Compile-time check for missing union cases
- assertNever pattern for TypeScript
branded-types
Keywords: branded type, type branding, nominal type, NewType, brand, distinct types, id types Solves:
- How do I prevent mixing different ID types?
- Branded types with Zod
- Python NewType for type safety
trpc
Keywords: trpc, type-safe api, procedure, router, mutation, query, middleware Solves:
- How do I set up tRPC?
- Type-safe API calls
- tRPC with React Query
prisma-types
Keywords: prisma, orm, generated types, model, client, payload Solves:
- How do I use Prisma types?
- Type-safe database queries
typescript-5-features
Keywords: typescript 5, const parameters, satisfies, decorators, template literals Solves:
- Use TypeScript 5.x features
- Const type parameters
- Satisfies operator
ty-type-checker
Keywords: ty, rust type checker, strict typing, isinstance, cast, type narrowing Solves:
- How do I make ty type checker pass?
- Extract values from untyped dicts safely
- Type narrowing with isinstance checks
Score
Total Score
Based on repository quality metrics
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