Data synthesizer

Skill rafaelghif/antigravity-agents/.agents/skills/data-synthesizer

Generates realistic mock data and database seeds for UI/API testing.From its SKILL.md

Install

npx -y skills add rafaelghif/antigravity-agents --skill data-synthesizer

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SKILL.md

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Data Synthesizer Skill

Objective

To inject realistic, varied, and edge-case inclusive mock data into the application so that the agent and developers can accurately test user interfaces, pagination, and API responses.

When to Execute

After running schema migrations on an empty database.
When requested to test a UI component that depends on lists, charts, or user profiles.
When building API endpoints that require robust dummy data.

Execution Steps

Schema Contextualization:
- Call the schema-manager to read the exact data types, constraints, and relationships of the target tables.
Mock Generation Strategy:
- Identify the stack's native seeder framework (e.g., Laravel Seeders, Prisma Studio, Python Faker, Django Fixtures).
- If a framework exists, write seeder scripts utilizing libraries like Faker to generate realistic names, addresses, and emails.
- Ensure the generated data includes edge cases (very long strings, nulls, special characters) to stress-test the UI.
Injection:
- Execute the seeder scripts to populate the local database.
- Verify insertion success by querying a sample of the data.
Cleanup Protocol:
- Ensure mock generation scripts are placed in proper development directories (e.g., database/seeders) and NEVER executed in production environments.