claude-api

Integrate Claude API with tool use and streaming across six languages.

54|18|Updated Jan 21, 2026
One-click install
npx skills add https://github.com/hainamchung/agent-assistant --skill claude-api-hainamchung
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/hainamchung/agent-assistant/tree/main/skills/claude-api
Command: npx skills add https://github.com/hainamchung/agent-assistant --skill claude-api-hainamchung

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides structured guidance and practical code patterns for integrating Claude API, tool use, and the Agent SDK into applications across Python, TypeScript, Java, Go, Ruby, and PHP, enabling reliable, multi-step AI interactions with memory, streaming, and structured outputs.

Core Features & Use Cases

  • Multi-language support: Detects project language and supplies language-specific examples for Python, TypeScript, Java, Go, Ruby, and PHP.
  • Tool use & agent workflows: Demonstrates tool invocation, server-side tools, and agent loops for complex tasks.
  • Streaming & memories: Covers streaming responses, memory integration, and structured outputs for robust UX.

Quick Start

Start by selecting the target language (Python, TypeScript, Java, Go, Ruby, or PHP) and follow the Claude API integration steps to make a first request.

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 with tool use in Python?

To integrate the Claude API with tool use in Python, you utilize SDK patterns that enable tool invocation and agent loops for complex, multi-step tasks. This approach enforces structured outputs and robust error handling.

What is the best way to build multi-step AI agents with the Claude SDK?

Building multi-step AI agents with the Claude SDK involves orchestrating tools, memory, and outputs across single-call, workflow, or agent-based patterns. This creates reliable AI helpers capable of executing complex, multi-step interactions.

Does the Claude API support streaming for long-running conversations?

Yes, the Claude API supports streaming for long-running conversations to maintain a robust user experience. Streaming responses are integrated alongside memory and structured outputs to handle continuous data flow effectively.

Can I use Claude API integration patterns with TypeScript, Go, and Java?

Yes, Claude API integration patterns support TypeScript, Go, Java, Ruby, and PHP. The system detects your project language and supplies language-specific examples for implementing single-call, workflow, or agent-based interactions.

How do structured outputs work with Claude API tool use?

Structured outputs in Claude API tool use enforce predictable data schemas during tool invocation and agent loops. This ensures reliable parsing of AI-generated content and safe tool execution across multi-step workflows.

Why do I need an agent loop for Claude API workflows?

Agent loops are needed for Claude API workflows to orchestrate complex, multi-step tasks that require memory integration and iterative tool use. They enable the AI to autonomously process feedback and execute sequential actions reliably.