Claude Cookbooks & Developer Guides

v1.0.0

Feature DerivationRecommendedmixeddomains.general

The ultimate "cookbook" for developers building AI applications. Contains standard code implementations (mostly Python/Jupyter Notebooks) for everything from basic API calls, Prompt Caching, and RAG, to advanced Sub-agent orchestration, Tool Use (SQL, calculators), and Vision analysis. Ideal as an authoritative reference when asking an Agent to write Claude API integration code.

🔗 Source

When to call

When you need the AI to write Claude API integration code, implement complex tool-calling logic, or learn Anthropic's official best practices.

Role in flow

Drive agents to autonomously perform multi-dimensional data mining, executing statistical indicator calculations and deep feature extraction.

Inputs

Your AI feature requirements (e.g., "Show me how to build a customer service agent with memory using Claude")

Outputs

Complete Python code or architecture suggestions based on official best practices

Boundaries and limitations

This project is not a turnkey application or MCP tool, but a reference codebase.
The code is primarily written in Python; converting it to other languages (e.g., Node.js/Go) requires manual effort.