ln-723-seed-data-generator

Solid

Generates seed data from ORM schemas or entity definitions to any target format. Use when populating databases for development.

AI & Automation 479 stars 67 forks Updated yesterday MIT

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Quality Score: 94/100

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89
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100
Frontmatter 20%
70
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100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

> **Paths:** File paths (`shared/`, `references/`, `../ln-*`) are relative to skills repo root. If not found at CWD, locate this SKILL.md directory and go up one level for repo root. If `shared/` is missing, fetch files via WebFetch from `https://raw.githubusercontent.com/levnikolaevich/claude-code-skills/master/skills/{path}`. # ln-723-seed-data-generator **Type:** L3 Worker **Category:** 7XX Project Bootstrap Universal seed data generator with two modes: MIGRATE (parse existing ORM schemas) or GENERATE (create from entity definitions). Outputs to any target format (C#, TypeScript, Python, JSON, SQL). --- ## Purpose & Scope | Aspect | Description | |--------|-------------| | **Input** | ORM schema files (MIGRATE) or entity list (GENERATE) | | **Output** | Seed data files in target format | | **Modes** | MIGRATE: parse existing ORM → seed data. GENERATE: entity definitions → seed data | **Scope boundaries:** - Parses ORM schema definitions or accepts entity lists - Generates seed data in requested target format - Creates realistic sample data using faker libraries - Does not generate database migrations, EF Core configs, or ORM models --- ## Mode Selection | Mode | When | Input | Source | |------|------|-------|--------| | **MIGRATE** | TRANSFORM pipeline — existing ORM schemas found | ORM schema files | Drizzle, Prisma, TypeORM, EF Core, SQLAlchemy, Django ORM | | **GENERATE** | CREATE pipeline — no existing schemas | Entity list from ln-700 Phase 0 | User-provided...

Details

Author
levnikolaevich
Repository
levnikolaevich/claude-code-skills
Created
7 months ago
Last Updated
yesterday
Language
JavaScript
License
MIT

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