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FreePublished on GitHub
database-design
Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.
The English summary is being prepared. Showing the original description.
Works withPostgreSQL
See how to installFiles included (8)
- SKILL.md1.5 KB
- database-selection.md1.1 KB
- indexing.md892 B
- migrations.md1.1 KB
- optimization.md902 B
- orm-selection.md771 B
- schema-design.md1.4 KB
- scripts/schema_validator.py5.2 KB
SKILL.md (original)
Review the instructions the agent will receive before you install.
Database Design
Learn to THINK, not copy SQL patterns.
🎯 Selective Reading Rule
Read ONLY files relevant to the request! Check the content map, find what you need.
| File | Description | When to Read |
|---|---|---|
database-selection.md | PostgreSQL vs Neon vs Turso vs SQLite | Choosing database |
orm-selection.md | Drizzle vs Prisma vs Kysely | Choosing ORM |
schema-design.md | Normalization, PKs, relationships | Designing schema |
indexing.md | Index types, composite indexes | Performance tuning |
optimization.md | N+1, EXPLAIN ANALYZE | Query optimization |
migrations.md | Safe migrations, serverless DBs | Schema changes |
⚠️ Core Principle
- ASK user for database preferences when unclear
- Choose database/ORM based on CONTEXT
- Don't default to PostgreSQL for everything
Decision Checklist
Before designing schema:
- Asked user about database preference?
- Chosen database for THIS context?
- Considered deployment environment?
- Planned index strategy?
- Defined relationship types?
Anti-Patterns
❌ Default to PostgreSQL for simple apps (SQLite may suffice) ❌ Skip indexing ❌ Use SELECT * in production ❌ Store JSON when structured data is better ❌ Ignore N+1 queries
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