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skytiger6724
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dummy-dataset

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

2|Updated Apr 9, 2026
Search Tags:#python#json#sql#csv#test-data#dummy-data#mock-datasets
One-click install
npx skills add https://github.com/skytiger6724/qwen-skills --skill dummy-dataset-skytiger6724
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: dummy-dataset
Source: https://github.com/skytiger6724/qwen-skills/tree/main/dummy-dataset
Command: npx skills add https://github.com/skytiger6724/qwen-skills --skill dummy-dataset-skytiger6724

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Eliminates tedious manual work of crafting test data by automating the creation of realistic, constraint-aware datasets tailored to specific domains and output requirements.

Core Features & Use Cases

  • Custom schema control: Specify columns, data types, ranges, and business constraints to match production logic.
  • Multiple output formats: Produce CSV, JSON, SQL INSERT statements, or a Python generation script on demand.
  • Use Case: Spin up a customer feedback dataset with realistic names, timestamps, skewed ratings, and email domains for QA testing or demo environments.

Quick Start

Ask the dummy dataset skill to generate a 100-row customer feedback CSV with realistic names, ratings, and constraint-aware email domains.

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 data for a specific schema?▼

Generate realistic test data by defining a custom schema with specific columns, data types, value ranges, and business constraints to automatically populate a mock dataset with domain-aware values.

What output formats can I use for mock datasets?▼

Mock datasets can be exported as CSV, JSON, SQL INSERT statements, or Python generation scripts to integrate directly with your testing dashboards or database environments.

Can I apply business constraints and domain rules to dummy data?▼

Yes, dummy data generation respects business constraints and domain rules, allowing you to skew rating distributions and enforce specific email domains for realistic customer profiles.

Does it support generating SQL INSERT statements for database testing?▼

It supports SQL INSERT statements as an output format, enabling you to directly populate database tables with transaction or customer profile data for QA testing.

What is the best way to create a customer feedback dataset for QA testing?▼

The best way to create a customer feedback dataset is to specify a row count and define constraint-aware columns like names, timestamps, skewed ratings, and email domains for realistic demo data.

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