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database-design

Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.

Published by sickn33 ↗sickn33/agentic-awesome-skills

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Propose a schema and indexing strategy

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Use database-design to propose a normalized schema, relationships, keys, and indexing strategy for [application requirements and query patterns], taking [database/ORM preferences and deployment environment] into account. Ask about unclear database preferences, then read only the relevant selection, schema, and indexing references. Explain context-based tradeoffs and likely N+1 risks. Return the proposal and validation plan without applying migrations or changing data. If using the schema helper, label it a read-only heuristic inventory and preserve incomplete/unsupported outcomes; use the project's ORM validator for actual syntax/type checks.

Required inputs

  • [application requirements and query patterns]
  • [database/ORM preferences and deployment environment]

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SKILL.md

name: database-designdescription: Database design principles and decision-making. Schema design, indexing strategy, ORM selection, serverless databases.metadata:   aas-risk: safe  aas-source: community  aas-date-added: '2026-02-27'

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

Use when selecting a database model, reviewing schema relationships and indexes, or assessing a proposed schema with the bundled advisory tools.

Schema helper

scripts/schema_validator.py is a read-only heuristic inventory, not a Prisma or Drizzle parser. Missing schemas, unsupported formats and heuristic-only results return nonzero with passed: false and analysis_complete: false. Use the project-local ORM validator for syntax and type checks; review migration and constraint semantics separately.

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.