Discover / Token & Cost Optimization
Anthropic Prompt Caching
by anthropicsJupyter Notebook
Cache long system prompts and context blocks for up to 90% cost reduction.
Maturity: experimental because active but has never tagged a release. Derived from release and commit history, not a rating.
- Stars
- 51k
- Forks
- 6.0k
- Downloads / mo
- —
- Last commit
- 2026-07-23
- License
- MIT
- Open issues
- 293
Market and trust evidence
Edition not yet matchedNo exact skills.sh identity match is available for this repository. Repository adoption and freshness remain visible above; install momentum is not inferred.
Trust analysis is a screening signal, not a security warranty. Read the ranking and trust methodology.
In practice
Written by AI from this repository’s README · medium confidencePatterns like tool use, RAG, evals, and prompt caching are easy to get wrong without a working reference.
Use it when
When you need a known good example for a Claude API technique before writing your own implementation.
Not the right pick when
These are recipes rather than a maintained library, so nothing here is a dependency you can install and call.
Capabilities
- recipes for classification, RAG and summarization
- tool use examples including a customer service agent and SQL queries
- multimodal vision guides for images, charts and forms
- sub-agent patterns and automated evaluations
- JSON mode and moderation filter recipes
- prompt caching techniques
Requirements
- a Claude API key
Cost: Cost not stated
Install
Derived from the published package name in the repository, not from a model.
Video walkthroughs
Anthropic’s FREE Claude Code Courses Are Actually Good
How Anthropic Engineers ACTUALLY Prompt Claude Code
Third-party YouTube uploads matched to this tool by title, channel and repository name on 2026-08-03. Not made, reviewed or endorsed by SkillPilot. View counts and publish months are as of the match date and the month is approximate. Nothing loads from YouTube until you press play.
What the repository ships
Detected from the actual files in the repository root.
Tags
README
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.
- Customer service agent
- Calculator integration
- SQL queries
Third-Party Integrations
- Retrieval augmented generation: Supplement Claude's knowledge with external data sources.
- Vector databases (Pinecone)
- Wikipedia
- Web pages
- Embeddings with Voyage AI
Multimodal Capabilities
- Vision with Claude:
- Getting started with images
- Best practices for vision
- Interpreting charts and graphs
- Extracting content from forms
- 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.
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.