anthropics/claude-cookbooks

anthropics/claude-cookbooks has 54,579 GitHub stars and 6,621 forks. GitHot measured +40 stars in 24 hours and +346 in 7 days. Last checked 2026-11-12 17:05 UTC. Last push 2026-11-02.

How these counts are measured

54,579 stars 6,621 Forks +40 in 24h

What you can do

Classification: Explore techniques for text and data classification using Claude.
Retrieval Augmented Generation: Learn how to enhance Claude's responses with external knowledge.
Summarization: Discover techniques for effective text summarization with Claude.
Getting started with images

Measured star growth

in 24h: +40
in 7 days: +346
in 15 days: Update delayed
in 1 month: Update delayed

Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.

About

A collection of notebooks and recipes showcasing some fun and effective ways of using Claude.

Developer Tools

README.md

Original

Claude Cookbooks

The Claude Cookbooks provide code and guides designed to help developers build with Claude, offering copy-able code snippets that you can easily integrate into your own projects.

Prerequisites

To make the most of the examples in this cookbook, you'll need a Claude API key (sign up for free here).

While the code examples are primarily written in Python, the concepts can be adapted to any programming language that supports interaction with the Claude API.

If you're new to working with the Claude API, we recommend starting with our Claude API Fundamentals course to get a solid foundation.

Explore Further

Looking for more resources to enhance your experience with Claude and AI assistants? Check out these helpful links:

Contributing

The Claude Cookbooks thrives on the contributions of the developer community. We value your input, whether it's submitting an idea, fixing a typo, adding a new guide, or improving an existing one. By contributing, you help make this resource even more valuable for everyone.

To avoid duplication of efforts, please review the existing issues and pull requests before contributing.

If you have ideas for new examples or guides, share them on the issues page.

Table of recipes

Capabilities

Classification: Explore techniques for text and data classification using Claude.
Retrieval Augmented Generation: Learn how to enhance Claude's responses with external knowledge.
Summarization: Discover techniques for effective text summarization with Claude.

Tool Use and Integration

Tool use: Learn how to integrate Claude with external tools and functions to extend its capabilities.

Third-Party Integrations

Retrieval augmented generation: Supplement Claude's knowledge with external data sources.
Embeddings with Voyage AI

Multimodal Capabilities

Vision with Claude:
Generate images with Claude: Use Claude with Stable Diffusion for image generation.

Advanced Techniques

Sub-agents: Learn how to use Haiku as a sub-agent in combination with Opus.
Upload PDFs to Claude: Parse and pass PDFs as text to Claude.
Automated evaluations: Use Claude to automate the prompt evaluation process.
Enable JSON mode: Ensure consistent JSON output from Claude.
Create a moderation filter: Use Claude to create a content moderation filter for your application.
Prompt caching: Learn techniques for efficient prompt caching with Claude.
Cost optimization: Work through a cost optimization checklist on an agent, measuring pass rate and cost per task to find the Pareto-optimal configuration.

Additional Resources

Anthropic on AWS: Explore examples and solutions for using Claude on AWS infrastructure.
AWS Samples: A collection of code samples from AWS which can be adapted for use with Claude. Note that some samples may require modification to work optimally with Claude.