A high-speed utility to generate realistic mock data from natural language descriptions, TypeScript types, or existing schemas.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mock-gen
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mock-gen using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Mock Gen?
Mock Gen is a developer-focused tool designed to eliminate the manual labor of creating test data. By leveraging AI, it allows developers to transform plain English descriptions, TypeScript types, or JSON schemas into high-quality datasets. This utility is a core part of the Openclaw Skills ecosystem, ensuring that developers can focus on building features rather than hand-writing JSON records.
The tool is built to be zero-configuration, meaning it works right out of the box without complex setup. It intelligently understands context—for example, knowing that a user needs a realistic US address rather than just a random string—making it an essential asset for anyone looking to populate applications with meaningful data.
Mock Gen Use Cases
- Seeding development databases with realistic SQL inserts for local testing.
- Creating frontend prototypes that require varied and realistic API responses.
- Generating edge-case test data for QA and automated testing pipelines.
- Preparing high-quality sample data for product demonstrations and client presentations.
How Mock Gen Works
- The user provides a natural language description, a TypeScript file path, or a JSON schema via the CLI.
- The tool processes the input through an AI model that understands data structures and semantic requirements.
- Realistic, varied records are generated that strictly adhere to the provided schema or the inferred context.
- The resulting data is formatted into the user's choice of JSON, CSV, or SQL insert statements.
- The output is printed to the terminal or saved directly to a file via the output flag.
Mock Gen Setup
No permanent installation is required to use this tool. You can run it directly using npx. Node.js 18+ is recommended for best results.
npx ai-mock-data "your description here"
To see all available options and flags, run:
npx ai-mock-data --help
Mock Gen Data Schema & Taxonomy
Mock Gen organizes its output based on the provided schema or description. It can handle various data structures and map them to the following output taxonomy:
| Input Source | Output Formats | Organization Method |
|---|---|---|
| Natural Language | JSON, CSV, SQL | Contextual inference based on text descriptions. |
| TypeScript Types | JSON, CSV, SQL | Mapping fields directly from .ts type definitions. |
| JSON Schema | JSON, CSV, SQL | Strict adherence to defined keys and data types. |
Mock Gen Advanced Features
- Direct file output support using the --output flag for seamless local storage.
- Adjustable record counts to generate everything from a single record to large datasets for performance testing.
- Schema-aware generation that allows for exact field matching using existing codebase types.
- Support for multiple output formats including SQL for database seeding and CSV for spreadsheet analysis.
- Optimized for integration into Openclaw Skills automated developer workflows.
SKILL.md
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