claude-api

Design and orchestrate Claude API applications across multiple programming languages.

1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/EzioPeter/codex_skills --skill claude-api-eziopeter
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/EzioPeter/codex_skills/tree/main/claude-api
Command: npx skills add https://github.com/EzioPeter/codex_skills --skill claude-api-eziopeter

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build Claude API integrations that are robust, scalable, and production-ready by guiding you through designing, testing, and orchestrating Claude API / Anthropic SDK-powered applications. It emphasizes practical patterns for thinking, tool use, streaming, and prompt caching across multiple languages and runtimes.

Core Features & Use Cases

  • Guidance for single-call Claude API usage, multi-step workflows, and Managed Agents setups.
  • Language-agnostic patterns across Python, TypeScript, Java, Go, Ruby, PHP, and cURL, including streaming, prompt caching, structured outputs, memory, and error handling.
  • Real-world scenarios: rapid prototyping, production-grade agents, batch processing, and complex tool/skill integrations.

Quick Start

Set up a Claude API project by selecting a language, installing the corresponding SDK, and running a basic single-call workflow to observe tool use and thinking patterns.

Frequently Asked Questions about claude-api

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

FAQPage Schema
How do I implement tool use and structured outputs with the Claude API?

To implement tool use and structured outputs with the Claude API, you can use the Anthropic SDK to define tool schemas and enforce response formats. This enables Claude to reliably call external functions and return structured data.

Can I use prompt caching and streaming across different programming languages?

Yes, prompt caching and streaming are supported across Python, TypeScript, Java, Go, Ruby, PHP, and cURL. These language-agnostic patterns allow you to optimize API costs and receive real-time token generation.

What is the best way to orchestrate multi-step workflows using Claude?

The best way to orchestrate multi-step workflows using Claude is by setting up Managed Agents or chaining single API calls. This approach handles complex tool integrations, memory management, and batch processing.

Does the Claude API support built-in thinking patterns for complex reasoning?

Yes, the Claude API supports built-in thinking patterns for complex reasoning tasks. You can enable extended thinking in your API requests to improve Claude's problem-solving capabilities before generating final responses.

How do I handle errors and ensure production readiness in Claude API integrations?

To handle errors and ensure production readiness in Claude API integrations, apply robust error handling guidance and architectural patterns. This includes implementing retries, managing rate limits, and structuring safe API interactions.