Dummy Dataset Generation

Dummy Dataset Generation is a Data skill for Claude Code, published by phuryn in pm-skills.

25.2K stars2.7K forkson phuryn/pm-skillsAdded 2026/08/14Repository updated 2026/07/03

agent-skill-repositoryagent-skillsagentic-skillsclaude-code-marketplaceclaude-code-pluginsclaude-cowork-pluginproduct-management

Install in seconds

Install Dummy Dataset Generation

Copy Dummy Dataset Generation into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.

terminal

npx degit https://github.com/phuryn/pm-skills/tree/main/pm-execution/skills/dummy-dataset ~/.claude/skills/dummy-dataset

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/phuryn/pm-skills.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file: pm-execution/skills/dummy-dataset/SKILL.md in phuryn/pm-skills
Installs to: ~/.claude/skills/dummy-dataset
Collection: One of 25 skills cataloged from this repository
Category: Data — 668 skills

What Dummy Dataset Generation does

Dummy Dataset Generation creates realistic dummy datasets for testing with customizable columns, constraints, and output formats such as CSV, JSON, SQL, or Python scripts. Use it when you need sample data for development, demos, or populating test environments.

Dummy Dataset Generation is cataloged under Data on DirSkills. Dummy Dataset Generation comes from a repository tagged agent-skill-repository, agent-skills, agentic-skills, claude-code-marketplace and claude-code-plugins.

Documentation

README

Excerpt

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

Step-by-Step Process

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Dummy Dataset Generation

What else does phuryn publish alongside Dummy Dataset Generation?
Dummy Dataset Generation is one of 25 skills that DirSkills catalogs from phuryn/pm-skills, the repository it ships in. Its siblings there include A/B Test Analysis, Beachhead Segment and Brainstorm Team OKRs. Each one is a separate skill with its own page in this directory, installs the same way Dummy Dataset Generation does, and is maintained by phuryn in that same repository. The rest of the collection is listed on the phuryn/pm-skills page.
How does Dummy Dataset Generation compare to other Data skills?
Dummy Dataset Generation ranks #71 by stars among the 668 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Dummy Dataset Generation against them. Open each page to compare what they document and how they install.