claude-api

Build, test, and migrate Claude API integrations across multiple languages.

64.1k|5.4k|Updated Jul 8, 2021
One-click install
npx skills add https://github.com/warpdotdev/warp --skill claude-api-warpdotdev
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/warpdotdev/warp/tree/main/resources/bundled/skills/claude-api
Command: npx skills add https://github.com/warpdotdev/warp --skill claude-api-warpdotdev

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Claude API integration, testing, and migration workflows across multiple languages, with built-in guidance on prompt caching, model migrations, and advanced tool usage.

Core Features & Use Cases

  • Multi-language Claude API bindings and examples across Python, TypeScript, Go, Java, Ruby, PHP, and cURL.
  • Guidance for prompt caching, structured outputs, memory tools, and Managed Agents to run persistent sessions.

Quick Start

Create a minimal Claude API workflow by initializing an agent and starting a session, then stream responses in your language of choice.

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 using Python or TypeScript?

The Claude API supports multi-language bindings including Python, TypeScript, Go, Java, Ruby, PHP, and cURL, letting you initialize agents, start sessions, and stream responses in your preferred language.

What is prompt caching and how does it work with the Claude API?

Prompt caching is a Claude API feature that stores prompt prefixes to reduce latency and costs. The Skill provides built-in guidance for implementing caching alongside structured outputs and memory tools in your workflows.

Can I use tool usage and streaming together in a Claude API workflow?

Yes, the Claude API supports advanced tool usage combined with streaming for large outputs. The Skill enforces streaming by default for large responses and provides structural guidance for stable behavior across tool calls.

What are Managed Agents and when do I need them for Claude API apps?

Managed Agents run persistent Claude API sessions. You need them when building long-running applications that require maintaining context, using memory tools, and executing multi-step workflows across API calls.

Does the Claude API require adaptive thinking for all models?

The Claude API enforces adaptive thinking specifically on Opus 4.6 and above by default. For other models, adaptive thinking remains optional, though the Skill recommends consulting live sources for up-to-date model details and capabilities.

What's the best way to migrate Claude API integrations across different languages?

The Skill provides multi-language Claude API bindings and structured examples across Python, TypeScript, Go, Java, Ruby, PHP, and cURL, with built-in prompts and migration guidance to ensure stable behavior across language transitions.