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Use case

Design APIs & backend systems with AI

The expensive mistakes in backend work are made at design time — an API contract that boxes you in, auth bolted on late, a rate limiter that fails open, a cache that goes stale silently. These Claude skills apply senior design judgment up front: a clean API contract, an auth system thought through, a rate limiter and cache designed for the real failure modes.

They are for engineers who want the design decision made carefully and consistently, not improvised. Below are the StrategistKit skills for API and backend system design.

6 skills in this collection.

Use case

Frequently asked questions

What do these API and system-design skills produce?

Design artifacts and decisions — API contracts, auth designs, rate-limiting and caching strategies, MCP server and RAG system designs — applied with the same senior judgment every time.

Do they generate the implementation?

They focus on design: contracts, strategies and architecture you implement with full control. That is where a careful upfront pass saves the most.

How is this better than asking an LLM directly?

A skill bundles the design method, so the output is consistent and considers the failure modes a one-off prompt usually skips.

Who are these for?

Backend and platform engineers making design decisions they will have to live with.

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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