Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIDeepSeekDeepSeekMuseMuse+22 more

    JSON to Zod Schema Generator

    1

    Turn a real local JSON payload into a ready-to-import Zod schema and inferred TypeScript type, including nested objects, arrays, nullability, and evidence-based optional fields.

    $5

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned
    JSON to Zod Schema Generator

    JSON to Zod Schema Generator

    Example session with this skill installed

    Generate a Zod schema from this local JSON payload:

    response_payload.json

    Requirements

    • read the JSON directly from the local filesystem;
    • infer nested object and array structure;
    • infer integer, number, string, boolean, and null types;
    • infer optional object fields only when multiple comparable object samples show that the key is absent;
    • infer nullable fields from observed null values;
    • combine nullable and optional when both are supported by the samples;
    • use unions for heterogeneous arrays;
    • use z.unknown() for empty-array element types instead of guessing;
    • do not infer enums or literals from a single observed string value;
    • do not infer UUID, email, or URL constraints unless explicitly requested;
    • generate schema.ts;
    • export both the Zod schema and its z.infer TypeScript type;
    • do not modify the source JSON;
    • generate schema_inference.json with warnings and inference metadata.

    Schema name
    ApiResponseSchema

    • Read your context and instructions
    • Compiled the json to zod

    Zod schema generated

    Input
    response_payload.json

    Top-level shape
    object

    Object fields inferred
    14

    Optional fields
    3

    Nullable fields
    2

    Arrays
    2

    Warnings
    1

    Inference example

    Observed payload samples

    user.email

    • string in one object
    • null in another object
    • absent in a third object

    Generated

    email: z.string().nullable().optional()

    Nested object

    profile:

    z.object({
  active: z.boolean(),
  lastLogin: z.string().optional(),
})

    Empty array warning

    metadata.tags

    Observed
    []

    Generated

    z.array(z.unknown())

    Reason
    The JSON sample does not provide enough evidence to infer the element type safely.

    Generated TypeScript

    import { z } from "zod";

export const ApiResponseSchema = z.object({
  users: z.array(
    z.object({
      id: z.number().int(),
      name: z.string(),
      email: z.string().nullable().optional(),
      profile: z.object({
        active: z.boolean(),
        lastLogin: z.string().optional(),
      }),
    })
  ),
  page: z.number().int(),
  hasMore: z.boolean(),
});

export type ApiResponse = z.infer<typeof ApiResponseSchema>;

    Files generated

    schema.ts
    schema_inference.json

    The source JSON was not modified.

    The generated Zod schema reflects the JSON samples provided. Review API documentation or additional payload variants before treating inferred optionality and formats as a complete contract.

    response_payload.json

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Stop hand-writing Zod schemas from API payloads

    Large JSON responses are tedious to map manually into validation schemas. Nested objects, nullable fields, arrays, and inconsistent object samples make it easy for runtime validation and TypeScript types to drift from the actual payload.

    JSON to Zod Schema Generator reads the real JSON file locally and produces a ready-to-import TypeScript schema.

    • Reads local JSON without requiring copy/paste
    • Infers nested Zod objects and arrays
    • Detects integers, numbers, booleans, strings, and nulls
    • Infers optional fields only when multiple samples provide evidence
    • Handles nullable + optional combinations
    • Builds unions for heterogeneous arrays
    • Uses z.unknown() when empty arrays provide no element-type evidence
    • Optionally detects ISO datetime strings
    • Quotes non-standard object keys safely
    • Generates both the Zod schema and its z.infer TypeScript type

    Why use this instead of pasting JSON into chat?

    The Skill reads the actual local payload, applies consistent inference rules, and writes a persistent schema.ts directly into your development workflow.

    JSON → Structural Inference → Zod Schema → TypeScript Type → Ready-to-Import File

    Conservative by design

    A single JSON sample cannot prove the entire API contract. The Skill avoids inventing enums, optional fields, or string constraints without enough evidence and clearly reports inference limitations.

    Find more skills like this on the Claude Skills Marketplace, the Codex Skills Marketplace and the Gemini Skills Marketplace, or browse Claude Skills for APIs & Backend.

    Cannot prove full API contracts from single samples. Skips enums and specific string formats like UUID or email by default. Requires local Python environment.

    How to use

    1. 1

      Connect your agent to the Agensi MCP

      Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup

    2. 2

      Sign in to Agensi

      Your agent shows a sign-in link. Sign in and click Allow.

    3. 3

      Ask for what you need

      Your agent loads this skill and uses it on your task. It always asks before buying a skill.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill goes through the trust checks below.

    Security scanned

    Checked by our 8-point scan before listing

    Fresh listing

    Recently published to Agensi

    Money-back guarantee

    Doesn't do what its page promises? You get your money back.

    Trust & safety

    Security scan

    Security scan passed 20 days ago

    Software
    Python

    Permissions

    Terminal / Shell
    Write Files
    Listed20 days ago

    What's inside

    Frequently Asked Questions

    This skill analyzes your local JSON files to automatically generate Zod validation schemas and TypeScript types, eliminating the need to manually hand-code complex, deeply nested structures.

    Unlike LLMs that may hallucinate types, this skill uses a deterministic inference engine to ensure every generated schema is valid TypeScript and accurately reflects the structure of your data.

    Yes, the skill runs as a local execution process, meaning your JSON payloads and sensitive API data never leave your environment or get sent to external servers.

    The skill intelligently handles arrays by identifying homogeneous types or creating unions for mixed data, and it merges multiple object samples to identify which keys should be marked as optional.

    The skill is designed for any TypeScript environment and requires a local Python environment to run the inference scripts; it outputs standard .ts files compatible with all modern IDEs.

    You receive the core inference engine, documentation for integration, and lifetime access to any logic updates or improvements to the schema generation rules.

    New in APIs & Backend