Claude Cookbooks: Official Code Examples and Recipes for Claude

Repositoryanthropics/claude-cookbooksResource

Anthropic's claude-cookbooks repository provides practical code recipes and Jupyter notebooks designed to help developers build applications with the Claude API.

Key points

  1. A collection of ready-to-copy code snippets and guides structured as Jupyter notebooks.
  2. Covers core LLM capabilities including text classification, summarisation, and Retrieval-Augmented Generation (RAG).
  3. Demonstrates tool use and function integrations such as customer support agents, calculator tools, and SQL querying.
  4. Code is primarily written in Python but designed to be adaptable to any language supporting the API.
  5. Requires a Claude API key to run and test the interactive examples.

Why it matters

Instead of designing LLM orchestration patterns from scratch, software engineers can rely on official reference implementations for common workflows like agent tool use and RAG.

Analysis

The project serves as Anthropic's official pattern library for building with Claude. It addresses common implementation hurdles by providing working, tested code for capabilities ranging from basic prompt execution to complex multi-step tool calls. Leveraging Python, Jupyter, and Claude API integrations, it targets backend developers and AI engineers. With more than 52,000 stars, extensive community contributions, and an MIT license, the repository represents a mature and active reference standard.

Found in

Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.

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    7210 Mattersburg, Austria
  • Vienna
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