dummy-dataset

Generate customizable test datasets in CSV, JSON, SQL, or Python script formats.

Updated Apr 8, 2026

Search Tags:#testing #json #sql #csv #generate #dataset #dummy

Ready to run

npx skills add https://github.com/martiraste-lgtm/claude-skills --skill dummy-dataset-martiraste-lgtm

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: dummy-dataset
Source: https://github.com/martiraste-lgtm/claude-skills/tree/main/pm-execution-dummy-dataset
Command: npx skills add https://github.com/martiraste-lgtm/claude-skills --skill dummy-dataset-martiraste-lgtm

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates dataset creation for testing.

Core Features & Use Cases

Customizable columns and data types to model real-world schemas
Output formats including CSV, JSON, SQL, and a Python script for generation
Supports constraints and business rules to produce realistic cross-field relationships
Use cases: populate test environments, run integration tests, demo datasets

Quick Start

Run the generated Python script to produce a dataset file in the specified format.

Frequently Asked Questions about dummy-dataset

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I generate realistic test datasets in CSV or JSON formats?▼

To generate realistic test datasets in CSV or JSON, you can use automated generation tools that support customizable columns, constraints, and multiple output formats. This approach eliminates manual data creation by producing deterministic, repeatable results based on parameterized configuration.

What is the best way to create dummy data for integration testing?▼

The best way to create dummy data for integration testing is using automated dataset generation with parameterized configuration. This allows you to define schemas, apply business rules for cross-field relationships, and output format-accurate files like SQL scripts or JSON.

Can I generate SQL insert scripts with cross-field constraints automatically?▼

Yes, you can generate SQL insert scripts with cross-field constraints automatically. The generation process supports customizable columns and business rules to model real-world schemas, ensuring that the output SQL accurately reflects the required data relationships.

How do I ensure my generated test data produces deterministic and repeatable results?▼

To ensure generated test data produces deterministic and repeatable results, use a generation method with parameterized configuration. By setting a fixed configuration, the tool consistently outputs the exact same dataset across multiple runs for reliable testing.

Does automated dataset generation work without external dependencies?▼

Yes, automated dataset generation works without external dependencies. The tool produces a standalone Python script that you can run directly in your environment to output the dataset file in your specified format, requiring no additional libraries.