Json to Types

    2

    Automatically transform JSON files or raw strings into production-ready TypeScript interfaces or Python dataclasses.

    $12

    Secure checkout via Stripe

    Money-back guarantee

    Converts to your local currency at checkout

    Security scanned

    Works with the AI Agents you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIMuseMuseDotsDots+22 more

    json-to-types

    Example session with this skill installed

    Please convert the data/api_response.json file into TypeScript interfaces and save the result to types.ts.

    • Read your context and instructions
    • Compiled the json-to-types

    // Generated from: data/api_response.json

    export interface User {
  id: number;
  userName: string;
  email: string;
  age?: number; // optional — not always present
  roles: string[];
}
export type UserList = User[];

    Output saved: ./types.ts (5 interfaces generated)

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

    About this skill

    What it does

    The JSON to Types Converter handles the tedious task of manually defining data structures for API responses or JSON datasets. It recursively analyzes any JSON source—whether a local file or a raw string—and generates production-ready TypeScript interfaces or Python dataclasses.

    Why use this skill

    While you can ask a standard LLM to "convert this JSON," this skill provides a structured developer workflow that an LLM alone often misses. It auto-detects your project's language environment, handles singularization of array roots (e.g., turning users.json into a User interface), manages complex union types for mixed arrays, and follows language-specific best practices like snake_case conversion for Python and Record<string, unknown> for dynamic objects.

    Supported tools

    • TypeScript: Generates exported interfaces with optional property support and type aliases.
    • Python: Generates @dataclass definitions using the typing module and __future__ annotations.
    • Project Detection: Uses Glob to automatically check for tsconfig.json or pyproject.toml to choose the right language.

    The Output

    It generates a clean, well-commented types.ts or models.py file and provides a summary report of the inferred schema, including which fields were marked as optional based on property presence across array items.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

    Reviews

    No reviews yet

    Be one of the first to try it. Every listed skill passes our trust checks below.

    Security scanned

    Passed 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 scanned

    Verified clean 6 months ago

    • Passed all security checks, Safe to install

    Requires

    Python

    Listed6 months ago

    What's inside

    Frequently Asked Questions