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Use case

Design database architecture with AI

The data model is the decision you live with longest — a schema that fits the access patterns, a cache that does not go stale, a migration that does not lose data at 2am. These Claude skills apply that judgment: a PostgreSQL schema designed for how you actually query, a Redis caching strategy, and a migration checked for the failure modes that bite.

They are for backend and data engineers who want the data layer designed carefully up front. Below are the StrategistKit skills for database architecture.

3 skills in this collection.

Use case

Frequently asked questions

What do these database skills do?

They design and check the data layer — a PostgreSQL schema fit to your queries, a Redis caching strategy, and a safety review of a planned migration — applied with consistent senior judgment.

Do they run against my database?

No — they produce designs, strategies and reviews you apply with full control. The value is the careful upfront thinking.

Why is this better than asking an LLM directly?

A skill bundles the design method and considers the failure modes (stale cache, lossy migration, poor index choices) that a one-off prompt usually misses.

Who are these for?

Backend, platform and data engineers making schema, caching and migration decisions.

What do I need to run them?

A paid Claude plan. Add the skill to your Claude app and invoke it with your context.

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