database-schema-reviewer
SolidReviews database schemas for normalization issues, missing indexes, naming inconsistencies, and scalability risks.
Install
Quality Score: 83/100
Skill Content
Details
- Author
- Notysoty
- Repository
- Notysoty/openagentskills
- Created
- 6 months ago
- Last Updated
- 3 weeks ago
- Language
- JavaScript
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
schema-review
Review database or data warehouse schemas for normalization, performance, naming, and query patterns
database-schema-review
Runs a structured review of a project's database schema design and migration safety, then reports the results as one table (check, area, status, evidence, recommendation). Covers normalization and data modeling (under-normalized vs. unjustified over-normalization, schema matching actual business entities), data types and constraints (appropriate column types, NOT NULL usage, CHECK constraints/enums for fixed value sets), referential integrity (foreign keys declared at the DB level, ON DELETE/ON UPDATE cascade behavior, orphan-record risk), uniqueness and identity (unique constraints vs. check-then-insert races, primary key/surrogate-key/UUID choice), migration safety (backward-compatible rolling deploys, expand/contract pattern, reversibility, DDL transactions, lock/downtime impact of large-table migrations), schema-vs-application drift, auditability/soft-delete conventions, and multi-tenancy data isolation at the schema level. This is a schema-design and migration-safety review, not a query-performance-tunin
postgres-schema-review
Audit an existing PostgreSQL schema and deployed catalog state for integrity, ownership, privileges, search-path exposure, constraints, RLS, partitions, indexes, and operational drift. Use when reviewing current DDL, dumps, migrations, or catalog snapshots. Do not use for greenfield data modeling, one slow-query diagnosis, or applying remediation in production.