dummy-dataset
Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.
npx skills add phuryn/pm-skills --skill dummy-dataset --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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 1. **Identify dataset type** - Understand the data domain 2. **Define column specifications** - Names, data types, and value ranges 3. **Determine row count** - How many sample records needed 4. **Select output format** - CSV, JSON, SQL INSERT, or Python script 5. **Apply realistic patterns** - Ensure data looks authentic and valid 6. **Add business constraints** - Respect business logic and relationships 7. **Generate or script data
- Step-by-Step Process
- Template: Python Script Output
- Example Dataset Specification
- Output Deliverables
- Output Formats
What does the dummy-dataset skill do?
Generate realistic dummy datasets for testing with customizable columns, constraints, and output formats (CSV, JSON, SQL, Python script). Use when creating test data, building mock datasets, or generating sample data for development and demos.
How do I install it?
Run `npx skills add phuryn/pm-skills --skill dummy-dataset --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From phuryn/pm-skills, a repository with 24,843 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.