claude-api

Integrate Anthropic Claude models via official SDKs and raw HTTP across eight programming languages.

Updated Jun 26, 2026
One-click install
npx skills add https://github.com/wangx7/skills-collection --skill claude-api-wangx7
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/wangx7/skills-collection/tree/main/anthropics-skills/skills/claude-api
Command: npx skills add https://github.com/wangx7/skills-collection --skill claude-api-wangx7

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Developers integrating Anthropic's Claude models face fragmented documentation, inconsistent SDK patterns across languages, and complex decisions around model selection, tool use, and agent architecture. This skill provides a single, authoritative reference that automatically adapts to the user's programming language and use case, eliminating guesswork and preventing costly integration mistakes.

Core Features & Use Cases

  • Multi-Language SDK Guidance: Concrete, copy-paste-ready examples for Python, TypeScript, Java, Go, Ruby, C#, PHP, and raw HTTP, with automatic language detection from project files.
  • Model & Parameter Mastery: Current model IDs, pricing tables, thinking modes, effort tuning, and step-by-step migration paths for Claude Fable 5, Opus 4.8, Sonnet 4.6, and Haiku 4.5.
  • Production Patterns: Streaming, prompt caching, tool use, managed agents, context compaction, error handling, batch processing, and security guardrails for building reliable LLM applications.

Quick Start

Use the claude-api skill to add a streaming chat completion to your Python project using the official Anthropic SDK.

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 models into my application using the Anthropic SDK?

To integrate Claude models, use the official Anthropic SDK across eight programming languages or raw HTTP, handling model selection, streaming, and tool use. This skill provides copy-paste-ready examples that automatically adapt to your project's detected language.

What's the best way to implement streaming chat completions with the Claude API?

The best way to implement streaming chat completions is by using the official Anthropic SDK's streaming parameters. This skill provides concrete, language-specific code examples for Python, TypeScript, Java, Go, Ruby, C#, PHP, and raw HTTP to handle streaming production patterns.

Does the Claude API support tool use and managed agents for production workflows?

Yes, the Claude API supports tool use and managed agents for production workflows. This skill offers architectural guidance and parameter references for building reliable LLM applications, covering context compaction, error handling, batch processing, and security guardrails.

Can I use prompt caching with Claude models to optimize my LLM application?

You can use prompt caching with Claude models to optimize LLM applications by reducing latency and costs. This skill details production patterns including prompt caching, context compaction, and batch processing, alongside current model IDs and pricing tables for Claude Fable 5, Opus 4.8, Sonnet 4.6, and Haiku 4.5.

How do I migrate my existing application to the latest Claude models?

To migrate your application to the latest Claude models, follow the step-by-step migration paths provided for Claude Fable 5, Opus 4.8, Sonnet 4.6, and Haiku 4.5. This skill provides current model IDs, pricing tables, thinking modes, and effort tuning to prevent costly integration mistakes.

Why does my Claude API integration fail across different programming languages?

Claude API integrations often fail across languages due to inconsistent SDK patterns and fragmented documentation. This skill serves as a single authoritative reference, providing correct parameter references and language-specific code examples for eight languages to eliminate guesswork.