endorsment/.github/skills/mock-data-generator/SKILL.md

name, description, license, triggers

name	description	license	triggers
mock-data-generator	Generates robust mock datasets for papers, users, and endorsements so the frontend can function without a backend.	MIT	generate mock data create mock papers seed mockData

Mock Data Generator

When to use this skill

• Use early in development to simulate arXiv papers, users, and endorsement relations for UI and store integration.
• Triggered by requests to create JSON or TypeScript fixtures under src/data/mockData.ts.

Instructions

1. First Step: Produce realistic paper fixtures (title, authors, categories, abstract, submittedAt) and user fixtures (id, name, affiliation, expertiseAreas).

2. Second Step: Optionally seed persisted store on first load if no data exists, using the mock dataset to populate usePaperStore or similar.

3. Third Step: Provide utility functions to filter and paginate mock data to emulate real API behavior.

Examples

• src/data/mockData.ts exports { papers, users, endorsements } and helper seedMockData().

Notes

• Keep the dataset representative (vary categories, dates) so components (sorting, filtering) can be tested effectively.