claude-api

Guide developers on using the Anthropic Claude API in Python and TypeScript.

Updated Mar 1, 2026
One-click install
npx skills add https://github.com/derekhu0002/ai4pb-orchestrator --skill claude-api-derekhu0002
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/derekhu0002/ai4pb-orchestrator/tree/main/.agents/skills/claude-api
Command: npx skills add https://github.com/derekhu0002/ai4pb-orchestrator --skill claude-api-derekhu0002

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers often struggle to adopt the Claude API consistently across languages and projects; this guide provides patterns and best practices to standardize usage for Python and TypeScript.

Core Features & Use Cases

  • Patterns for Messages API, streaming, tool use, vision, extended thinking, batches, and prompt caching.
  • Claude Agent SDK workflows to orchestrate multi-step interactions and tool calls.
  • Practical scenarios like chat assistants, code helpers, and data processing agents that leverage Claude APIs efficiently and cost-effectively.

Quick Start

Start with a minimal Claude API example by sending a user message and returning the assistant response.

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 into a Python or TypeScript application?

To integrate the Claude API, install the Anthropic SDK for Python or TypeScript, then use the Messages API to send user input and return the assistant response.

What is the best way to handle streaming responses from the Claude API?

Handling streaming responses from the Claude API involves using the streaming patterns provided by the Anthropic SDK to process message chunks incrementally in Python or TypeScript.

Can I use tool integration and Agent SDK workflows with the Claude API?

Yes, you can use the Claude Agent SDK to orchestrate multi-step interactions and tool calls, enabling robust workflows in both Python and TypeScript projects.

Does the Claude API support prompt caching and batch processing?

The Claude API supports prompt caching, batch processing, and vision features, allowing developers to build data processing agents that run efficiently and cost-effectively.

Why do I need standardized patterns for building Claude API-powered apps?

Standardized patterns for the Claude API solve the struggle of adopting consistent usage across different languages, ensuring robust integrations with proper error handling and tool use.

What are the known limitations when handling tool calls with the Claude API?

Limitations when handling tool calls with the Claude API are mitigated by applying the provided error handling patterns to ensure robust Claude API integrations across Python and TypeScript.