claude-api

Orchestrate Claude API model calls, tool use, and structured outputs across multiple language runtimes.

1|1|Updated Jun 4, 2024
One-click install
npx skills add https://github.com/dhar174/tiny_village --skill claude-api-dhar174
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/dhar174/tiny_village/tree/main/.codex/claude-api
Command: npx skills add https://github.com/dhar174/tiny_village --skill claude-api-dhar174

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps developers rapidly integrate Claude-powered capabilities into applications by coordinating model calls, tool use, and structured outputs across languages and runtimes.

Core Features & Use Cases

It covers multi-language SDKs, streaming responses, file uploads, tool execution, memory, and structured outputs to support end-to-end AI workflows in Python, TypeScript, Java, Go, Ruby, C#, and PHP for tasks like classification, QA, coding assistants, and data extraction.

Quick Start

Install the appropriate SDK for your language and run a simple example to send a user message to Claude.

Frequently Asked Questions about claude-api

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

FAQPage Schema
How do I integrate Claude API calls using the Anthropic SDK in my application?

To integrate Claude API calls, you install the appropriate Anthropic SDK for your language runtime and orchestrate model calls, tool use, and structured outputs. The skill provides guidance on safe production-grade integration patterns across multiple languages like Python and TypeScript.

Does the Claude API support structured outputs and tool execution for data extraction workflows?

Yes, the Claude API supports structured outputs and tool execution to enable end-to-end AI workflows. You can orchestrate tool use and structured data handling for tasks like classification, QA, coding assistants, and data extraction.

Can I use streaming responses and memory with the Anthropic SDK in Python or TypeScript?

You can use streaming responses and memory features with the Anthropic SDK across supported runtimes including Python and TypeScript. The skill provides guidance on configuring streaming, thinking settings, and memory to support reliable AI tooling.

What is the best way to handle errors when building production-grade Claude-powered apps?

The best way to handle errors in production-grade Claude-powered apps is to follow robust integration patterns provided by the skill. It emphasizes safe data handling, error management, and model selection guidance to ensure reliable AI tooling.

Which programming languages are supported by the Anthropic SDK for Claude API integration?

The Anthropic SDK supports multi-language runtimes including Python, TypeScript, Java, Go, Ruby, C#, and PHP. This allows developers to build Claude-powered applications with flexible SDKs across their preferred tech stack.

How do I configure model selection and thinking settings when orchestrating Claude API calls?

To configure model selection and thinking settings, you use the guidance provided by the skill to orchestrate Claude API calls. It covers selecting appropriate models and adjusting thinking settings to support production-grade AI applications.