AgentSkillsCN

mock-data-generator

为论文、用户与点赞行为生成稳健的模拟数据集，使前端无需后端也能正常运行。

SKILL.md
--- frontmatter
name: mock-data-generator
description: "Generates robust mock datasets for papers, users, and endorsements so the frontend can function without a backend."
license: MIT
triggers:
  - "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.