hackathon-mock-data-generator

To generate mock data for a hackathon demo, you need a defined data schema and demo flow. The skill produces ready-to-run SQL or JSON seed scripts that populate your app with realistic records aligned to your presentation steps.

Creating seed data that matches a demo flow requires mapping generated records to specific presentation steps. This skill outputs SQL or JSON seeds alongside a demo-alignment note, ensuring your application appears populated and credible during judging.

If mocking is disallowed by hackathon rules, you cannot use generated seed scripts. The skill issues a policy warning and provides safe alternatives with clear instructions for loading compliant data instead.

Yes, you need a defined data schema and MVP demo flow before generating demo data. The skill requires these inputs to produce structured mock datasets and ready-to-run seed scripts that accurately align with your application models.

Available formats for automated data seeding include ready-to-run SQL and JSON files. The skill generates these seed scripts along with loading instructions to help you quickly populate your hackathon application database.

Your mock dataset lacks context if it is not mapped to your presentation steps. This skill generates a demo-alignment note alongside SQL or JSON seeds, ensuring each record supports the specific narrative of your hackathon demo.