database-schema-design
Design relational or document schemas from access patterns, cardinality, and lifecycle. Use when modeling entities, choosing embed vs normalize, or shaping schema boundaries before implementation.
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SKILL.md
Database Schema Design
Priority: P0 (CRITICAL)
Start from reads, writes, and ownership. Schema follows access patterns, not vice versa.
Rules
- Model one business concept per table/collection boundary.
- Choose embed vs reference or normalize vs denormalize from cardinality, update frequency, and read locality.
- Encode uniqueness, nullability, and foreign-key or ownership rules explicitly.
- Prefer additive evolution over destructive redesigns.
Verify
- Hot reads are supported without avoidable joins or fan-out.
- Cardinality and lifecycle were written down for major relationships.
- Constraints or validation rules exist for business invariants.
- IDs, timestamps, and soft-delete semantics are consistent.
Anti-Patterns
- No schema from ORM defaults: model business access patterns first.
- No many-to-many without owner rules: define source of truth and cleanup behavior.
- No nullable drift: nullable fields need lifecycle meaning.
References
Files
3- SKILL.md
399d00c5fc1.5 KB - evals/evals.json
57d04c9f1e1.2 KB - references/normalization-tradeoffs.md
0b4138ac092.0 KB
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