claude-api

Provides Python and TypeScript SDK examples for Anthropic Claude API interactions.

4|1|Updated Mar 14, 2026
One-click install
npx skills add https://github.com/GPTtang/skill-atlas --skill claude-api-gpttang
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/GPTtang/skill-atlas/tree/main/skills/ai-agent/claude-api
Command: npx skills add https://github.com/GPTtang/skill-atlas --skill claude-api-gpttang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides comprehensive guidance and code examples for effectively utilizing the Anthropic Claude API and SDKs, enabling developers to build sophisticated AI-powered applications.

Core Features & Use Cases

  • API Integration: Seamlessly integrate Claude's capabilities into your Python or TypeScript applications.
  • Advanced Features: Implement streaming responses, tool use, vision capabilities, and extended thinking for complex tasks.
  • Cost Optimization: Learn strategies like prompt caching and using the Batches API to manage costs efficiently.
  • Use Case: You are building a customer support chatbot that needs to understand user queries, search a knowledge base using tools, and provide real-time responses. This Skill will guide you through setting up the API calls, defining tools, and handling responses.

Quick Start

Use the claude-api skill to send a basic message to the Claude API using the Python SDK.

Frequently Asked Questions about claude-api

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I use the Claude API for streaming responses in Python or TypeScript?

The Claude API supports tool integration by allowing you to define external functions within your Python or TypeScript SDK calls, enabling the model to search knowledge bases or execute specific tasks during a conversation.

Can I pass images to the Claude API for vision capabilities?

To optimize Claude API costs, you can implement prompt caching to reuse context and utilize the Batches API for processing large volumes of asynchronous requests efficiently.

Does the Claude API support extended thinking for complex reasoning tasks?

The Batches API in the Claude SDK allows you to process large volumes of asynchronous requests efficiently, reducing costs by handling non-real-time workloads outside of standard interactive streams.

How do I define external functions for tool use in the Claude API?

The Anthropic SDK provides patterns for handling Claude API responses in TypeScript, covering standard Messages API interactions, streaming, and parsing tool use outputs effectively.