Dummy Dataset

This generates test datasets with realistic looking data when you need to populate a database or demo an application. You specify the data type (customer feedback, transactions, user profiles), how many rows, what columns you want, and it spits out CSV, JSON, SQL inserts, or a Python script you can run. The useful part is it handles constraints and business rules, so if you want bug reports to only have low ratings or emails to use real looking domains, it respects that. Honestly beats manually creating fake data or writing your own faker script for the hundredth time, especially when you need something quick for a staging environment.

skills.sh installs: 2.8K
GitHub stars: 27.8K
last updated: Aug 21, 2026

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Install

$ npx -y skills add phuryn/pm-skills --skill dummy-dataset --agent claude-code

Installs into .claude/skills of the current project.

Files

Dummy Dataset Generation

Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Creates executable scripts or direct data files for immediate use.

Use when: Creating test data, generating sample datasets, building realistic mock data for development, or populating test environments.

Arguments:

$PRODUCT: The product or system name
$DATASET_TYPE: Type of data (e.g., customer feedback, transactions, user profiles)
$ROWS: Number of rows to generate (default: 100)
$COLUMNS: Specific columns or fields to include
$FORMAT: Output format (CSV, JSON, SQL, Python script)
$CONSTRAINTS: Additional constraints or business rules