claude-api

To send a basic message to the Claude API using the Python SDK, you can use the provided patterns to structure your request, set system prompts, and receive responses from Anthropic models. The skill demonstrates the exact integration steps for Python.

Implementing streaming responses with the Anthropic API in TypeScript is covered by this skill through specific patterns for handling real-time data streams. It provides the necessary SDK examples to process streaming messages effectively in your applications.

Yes, you can use the Claude API for tool use and vision capabilities. The skill provides comprehensive examples demonstrating how to integrate external tools for fetching real-time information and how to process uploaded images for analysis.

The Anthropic API supports both prompt caching for cost optimization and batch processing for handling high volumes. This skill includes patterns and examples to help you implement these advanced features in your AI applications.

To build multi-step agents with the Claude Agent SDK, this skill provides dedicated examples and patterns for agent development. It demonstrates how to orchestrate complex reasoning and multi-step workflows using Anthropic models.

Extended thinking in the Claude API is a feature for complex reasoning tasks. You should use it when your application requires sophisticated problem-solving capabilities, and this skill provides the patterns to implement it effectively.