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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 install

Files 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.

FileDescriptionWhen to Read
database-selection.mdPostgreSQL vs Neon vs Turso vs SQLiteChoosing database
orm-selection.mdDrizzle vs Prisma vs KyselyChoosing ORM
schema-design.mdNormalization, PKs, relationshipsDesigning schema
indexing.mdIndex types, composite indexesPerformance tuning
optimization.mdN+1, EXPLAIN ANALYZEQuery optimization
migrations.mdSafe migrations, serverless DBsSchema 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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