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database-design

Principios de diseño de bases de datos y toma de decisiones. Diseño de esquemas, estrategia de indexación, selección de ORM, bases de datos sin servidor.

El contenido de este skill está en su idioma original (a menudo inglés).

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

When to Use

This skill is applicable to execute the workflow or actions described in the overview.

Limitations

  • Use this skill only when the task clearly matches the scope described above.
  • Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
  • Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.
— Field Manual

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