
Dummy Dataset Generator
Creates realistic fake test data as CSV, JSON, SQL, or a Python generator script
- Repository
- phuryn/pm-skills
- Stars
- 27,616
- Licence
- MIT
- Files
- 1 file
What it does
When installed, the agent can produce realistic fake datasets for testing, demos, or development, such as customer feedback records or transaction lists. You describe the kind of data, the columns, row count, and any business rules, and the agent returns the data as a CSV, JSON, or SQL INSERT file, or as a Python script that generates the data. The skill gives the agent a step-by-step process and templates so the output has consistent headers, valid formats, and rules like skewed rating distributions.
Great for
- Developers who need seed data for a test database or staging environment
- Product managers preparing realistic sample data for a demo
- Analysts who want practice data with specific columns and constraints
Skip it if
- Replacing real production data for analysis, since the values are invented and results will not reflect real customers or behaviour
- Anyone who needs real personal data protected or anonymised; this creates new fake records rather than masking existing ones
Try asking
- “Generate 500 customer feedback rows as CSV with ratings skewed toward 5 stars”
- “Create a JSON file of 200 user profiles with name, email, and signup date for my test environment”
- “Write a Python script that produces 10,000 transaction records with realistic amounts”
- “Give me SQL INSERT statements for 50 product rows to populate my local database”
Install in 3 steps
- 1
Download the skill
The ZIP contains the 1 original files, the MIT licence and an attribution note.
dummy-dataset.zip - 2
Add it to your agent
Claude Code (all projects)
mkdir -p ~/.claude/skills && unzip dummy-dataset.zip -d ~/.claude/skills/Claude Code / Agent SDK (this project only)
mkdir -p .claude/skills && unzip dummy-dataset.zip -d .claude/skills/Claude apps (web/desktop): Settings → Capabilities → Skills → Upload skill, and choose the ZIP.
- 3
Ask for the task
No special command needed — the agent reads the skill's description and loads it when your request matches. Try one of the prompts above.
Get better results
- Specify the columns, data types, and any business rules explicitly so the generated data matches your schema
- Review generated scripts before running them, since they execute code on your machine
- Ask for a Python script when you need large row counts or repeatable generation
What's inside
- SKILL.md
Redistributed unmodified from phuryn/pm-skills under the MIT licence. The assessment was drafted with AI from the skill's files on 2026-10-29. Skills can instruct your agent to run code — read SKILL.md and any scripts before installing.