claude-api

Integrate Claude API applications using Python and TypeScript SDKs.

Updated Mar 31, 2026
One-click install
npx skills add https://github.com/GGEdu/claude-god-mode-template --skill claude-api-ggedu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/GGEdu/claude-god-mode-template/tree/main/skills/claude-api
Command: npx skills add https://github.com/GGEdu/claude-god-mode-template --skill claude-api-ggedu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enable developers to quickly architect and deploy applications that leverage the Claude API and its SDKs across Python and TypeScript, covering message flows, streaming outputs, tool interactions, vision inputs, and agent-driven workflows.

Core Features & Use Cases

  • Patterns for calling Claude API from Python and TypeScript with recommended model choices and error handling.
  • Tool use, streaming responses, vision inputs, extended thinking, prompt caching, and batches to optimize latency and cost.
  • Agent workflows with Claude Agent SDK to orchestrate multi-step tasks and automate complex conversations.

Quick Start

Install the Python or TypeScript SDKs and start building Claude-powered apps using the examples in this guide.

Frequently Asked Questions about claude-api

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

FAQPage Schema
How do I integrate the Claude API using Python and TypeScript SDKs?

To integrate the Claude API, install the anthropic Python package or @anthropic-ai/sdk for TypeScript, configure your API keys, and select a model to establish chat-style interactions and tool use.

Can I use the Claude API for streaming responses and vision inputs?

Yes, the Claude API supports streaming responses and vision inputs. You can implement these features using the provided SDKs to handle real-time outputs and process image data within your applications.

What is the best way to optimize Claude API latency and cost?

The best way to optimize Claude API latency and cost is by applying prompt caching and batch processing. These techniques reduce redundant computations and lower overall operational expenses.

Does the Claude API support agent workflows and extended thinking?

Yes, the Claude API supports agent workflows and extended thinking. You can orchestrate multi-step tasks and automate complex conversations using the Claude Agent SDK.

How do I handle tool use with the Claude API in my application?

You can handle tool use by leveraging the anthropic Python package or TypeScript SDK to define and execute tool interactions. This enables your application to perform structured function calls within chat flows.