relational-database-design

Distills a logical relational-database design methodology into rules an agent applies while designing or reviewing a schema. Covers the design sequence (mission → tables → fields → keys → relationships → business rules → views → integrity review), one-subject-per-table decomposition, atomic single-valued fields, candidate/primary/foreign keys, relationship types with deletion rules and participation, the four levels of data integrity, database-vs-application business rules, validation tables, views for derived data, and the flat-file / spreadsheet / RDBMS-driven antipatterns to avoid. The structure is logical and RDBMS-agnostic, and normalized by construction. Use when designing a new relational schema, reviewing or refactoring an existing one, resolving redundant or repeating data, choosing keys, modeling relationships, or deciding where a constraint belongs.

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Repository: pproenca/dot-skills
Last source activity: July 23, 2026 at 07:27
Detected SKILL.md language: English
Stars: 194
Forks: 17

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Relational Database Design

A logical, RDBMS-agnostic method for designing sound relational databases — the decisions a schema forces and how a disciplined logical-design methodology settles them, written so an agent applies them while designing or reviewing a schema. Each rule names a specific wrong default it corrects; there is no rule for things the model already gets right.

The whole method produces the logical structure first — the tables, fields, keys, relationships, and integrity rules an organization's information requires — deliberately independent of any particular RDBMS product or physical/performance concern. Followed faithfully, it yields fully normalized tables without treating normalization as a separate back-end phase.

When to Apply

Designing a new relational schema from requirements

Reviewing or refactoring an existing schema for structural soundness

Resolving repeating groups, multivalued/multipart fields, or redundant data

Choosing candidate, primary, and foreign keys for a table

Modeling one-to-one, one-to-many, many-to-many, or self-referencing relationships

Deciding deletion rules (restrict, cascade, nullify, deny, set default) and participation constraints