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Developer Kit

Data Model Reviewer

Reviews proposed data models for normalization, indexing strategy, constraints, soft-delete patterns, audit fields, and multi-tenancy, returning a structured review with a normalized ERD. Useful for preventing expensive data model rework. Backend engineers proposing new tables or significant schema changes, tech leads reviewing data models before they ship, and startup CTOs whose teams lack a senior database specialist. They are also the most expensive to reverse — every wrong table shape accretes application code, migrations, and analytics queries that depend on it. AI-generated schemas frequently miss baseline concerns that experienced engineers treat as reflexive: audit timestamps, soft-delete patterns, tenant isolation in multi-tenant systems, enum-as-string vs. enum-as-check-constraint, and index strategy for the known query workload. A pre-merge review catches these before they ossify.

Nexus CertifiedClaude CodeCodexOpenClaw
databasedata-modelingerdnormalizationreview

One-Time Purchase

$19.99

Sample Output
# Data Model Review — Acme SaaS `projects` + `tasks`

**Engine:** Postgres 15
**Tenancy:** Shared-schema multi-tenant (per prior context)
**Review status:** Conditional — 2 critical findings must be resolved before merge

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Includes support for Claude Code, Codex, and OpenClaw in the same license.

What You Get With This Skill

Reviews proposed data models for normalization, indexing strategy, constraints, soft-delete patterns, audit fields, and multi-tenancy, returning a structured review with a normalized ERD. Useful for preventing expensive data model rework.

All ClearPoint Nexus Skills Include

  • Production-ready workflow packaging for three supported platforms.
  • Reusable structure designed for repeatable operator tasks.
  • Clear deliverable format, not just raw prompt output.

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