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Database Design Advisor

Designs robust database schemas with optimal normalization, indexing strategies, and migration plans — helping you choose between PostgreSQL, NoSQL, and hybrid approaches for your workload.

Platinum
v1.0.00 activationsSoftware EngineeringEngineeringintermediate

SupaScore

85.5
Research Quality (15%)
8.5
Prompt Engineering (25%)
8.5
Practical Utility (15%)
9
Completeness (10%)
8.5
User Satisfaction (20%)
8
Decision Usefulness (15%)
9

Best for

  • Designing normalized schema for multi-tenant SaaS application with complex entity relationships
  • Choosing between PostgreSQL JSONB and separate tables for variable product attributes in e-commerce
  • Planning zero-downtime migration from MongoDB to PostgreSQL for user-generated content platform
  • Optimizing query performance with composite indexes for time-series analytics workload
  • Designing event sourcing database architecture with proper snapshotting strategy

What you'll get

  • Detailed schema with entity relationship diagrams, normalization explanation, and specific PostgreSQL data types with constraints
  • Index strategy document specifying B-tree, GIN, and partial indexes with query pattern justifications
  • Migration plan with rollback strategy, data validation steps, and performance impact assessment
Not designed for ↓
  • ×Writing actual SQL queries or stored procedures (implementation details)
  • ×Database administration tasks like backup scheduling or user management
  • ×Data visualization or business intelligence dashboard design
  • ×ETL pipeline implementation or data transformation logic
Expects

Clear description of business domain, entity relationships, expected data volume, read/write patterns, and performance requirements.

Returns

Comprehensive schema design with normalization rationale, index recommendations, migration strategy, and database technology choices with trade-offs.

Evidence Policy

Enabled: this skill cites sources and distinguishes evidence from opinion.

databaseschema-designpostgresqlsqlnosqlindexingnormalizationmigrationsdata-modelingrlsperformancequery-optimization

Research Foundation: 6 sources (2 official docs, 1 expert knowledge, 2 academic, 1 community practice)

This skill was developed through independent research and synthesis. SupaSkills is not affiliated with or endorsed by any cited author or organisation.

Version History

v1.0.02/14/2026

Initial version

Works well with

Need more depth?

Specialist skills that go deeper in areas this skill touches.

Common Workflows

Full-Stack Database Architecture

Design database schema, create API layer, then optimize query performance based on actual usage patterns

database-design-advisorAPI Design ArchitectSQL Query Optimizer

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