prompt-engineering

Run `npx skills add 5zjk5/prompt-engineering --all -g -y` in your terminal to install all skills in this repository globally.

It contains practical code examples for prompt optimization, RAG retrieval, agent architectures, and LangChain/LangGraph workflows you can study and reuse in your own projects.

The Rag+Agent folders include complete working examples that combine retrieval with agents, including text-to-SQL and document search, which you can run and adapt directly.

Yes. A dedicated skill provides coding assistance with reference examples for agents, workflows, middleware, tools, and model calls across LangChain v1.0 and LangGraph.

Yes. The fastapi-backend-scaffold skill generates a complete layered backend with LLM client retry logic, session logging, and SQLite access in one command.