Master essential Bash/Linux terminal patterns, including critical commands, piping, error handling, and scripting for macOS and Linux systems.
CLAUDE
The Claude Cookbooks offer a comprehensive collection of Jupyter notebooks and Python examples designed to empower developers building with the Claude API. This resource serves as an invaluable guide, showcasing practical implementations of Claude's capabilities across various domains, from core functionalities like RAG and classification to advanced patterns such as tool use and multimodal processing. It's an essential toolkit for anyone looking to accelerate their development with Anthropic's state-of-the-art AI models.
Beyond just examples, the Cookbooks emphasize best practices for integrating Claude into your applications. It provides clear guidelines on managing API keys securely, handling dependencies efficiently with `uv`, and correctly referencing current Claude models. With structured code style, conventional commit formats, and built-in quality checks, this collection not only demonstrates how to use Claude but also how to build robust, maintainable, and high-quality AI solutions.
What It Does
This skill provides a curated set of Jupyter notebooks and Python examples demonstrating various ways to interact with the Claude API. It covers core capabilities, advanced skills, tool use, and multimodal applications, helping developers quickly understand and implement Claude's features and best practices.
When To Use
Learning how to use the Claude API and its various functionalities.
Developing new AI applications or features leveraging Claude models.
Implementing specific AI patterns such as Retrieval Augmented Generation (RAG), classification, or tool use.
Understanding and applying best practices for Claude model integration and dependency management.
Exploring multimodal capabilities with Claude's vision models.
Inputs
The skill itself is a collection of code examples. The notebooks and scripts within it expect: an active Claude API Key (`ANTHROPIC_API_KEY`), a Python environment, and specific package dependencies managed by `uv`. Individual notebooks may require additional data or configurations depending on their specific use case.
Outputs
The skill produces working code examples, runnable Jupyter notebooks, and a deeper understanding of how to build with the Claude API. When executed, the notebooks will generate outputs relevant to their specific tasks (e.g., classified text, RAG responses, tool outputs, image analysis results).
Limitations
Installation
Copy to ~/.claude/skills/Add to Cline skills directoryAdd to Copilot workspace settingsConfigure in .aider.conf.ymlAdd to .cursor/skills/Add to .vscode/skills/What people say, and where to get help
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