33 lines
1.1 KiB
Markdown
33 lines
1.1 KiB
Markdown
---
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name: mock-data-generator
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description: "Generates robust mock datasets for papers, users, and endorsements so the frontend can function without a backend."
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license: MIT
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triggers:
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- "generate mock data"
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- "create mock papers"
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- "seed mockData"
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---
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# Mock Data Generator
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When to use this skill
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- Use early in development to simulate arXiv papers, users, and endorsement relations for UI and store integration.
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- Triggered by requests to create JSON or TypeScript fixtures under `src/data/mockData.ts`.
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Instructions
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1. First Step: Produce realistic paper fixtures (title, authors, categories, abstract, submittedAt) and user fixtures (id, name, affiliation, expertiseAreas).
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2. Second Step: Optionally seed persisted store on first load if no data exists, using the mock dataset to populate `usePaperStore` or similar.
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3. Third Step: Provide utility functions to filter and paginate mock data to emulate real API behavior.
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Examples
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- `src/data/mockData.ts` exports `{ papers, users, endorsements }` and helper `seedMockData()`.
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Notes
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- Keep the dataset representative (vary categories, dates) so components (sorting, filtering) can be tested effectively.
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