claude-cookbooks

TRANSLATED CONTENT:

name: claude-cookbooks description: Claude AI cookbooks - code examples, tutorials, and best practices for using Claude API. Use when learning Claude API integration, building Claude-powered applications, or exploring Claude capabilities.

Claude Cookbooks Skill

Comprehensive code examples and guides for building with Claude AI, sourced from the official Anthropic cookbooks repository.

When to Use This Skill

This skill should be triggered when:

• Learning how to use Claude API
• Implementing Claude integrations
• Building applications with Claude
• Working with tool use and function calling
• Implementing multimodal features (vision, image analysis)
• Setting up RAG (Retrieval Augmented Generation)
• Integrating Claude with third-party services
• Building AI agents with Claude
• Optimizing prompts for Claude
• Implementing advanced patterns (caching, sub-agents, etc.)

Quick Reference

Basic API Usage

import anthropic

client = anthropic.Anthropic(api_key="your-api-key")

# Simple message
response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{
        "role": "user",
        "content": "Hello, Claude!"
    }]
)

Tool Use (Function Calling)

# Define a tool
tools = [{
    "name": "get_weather",
    "description": "Get current weather for a location",
    "input_schema": {
        "type": "object",
        "properties": {
            "location": {"type": "string", "description": "City name"}
        },
        "required": ["location"]
    }
}]

# Use the tool
response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    tools=tools,
    messages=[{"role": "user", "content": "What's the weather in San Francisco?"}]
)

Vision (Image Analysis)

# Analyze an image
response = client.messages.create(
    model="claude-3-5-sonnet-20241022",
    max_tokens=1024,
    messages=[{
        "role": "user",
        "content": [
            {
                "type": "image",
                "source": {
                    "type": "base64",
                    "media_type": "image/jpeg",
                    "data": base64_image
                }
            },
            {"type": "text", "text": "Describe this image"}
        ]
    }]
)