claude-api

Document Claude API message creation, streaming, tool use, and SDK patterns.

1|Updated Mar 5, 2026
One-click install
npx skills add https://github.com/a0972199950/lazy-cv --skill claude-api-a0972199950
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/a0972199950/lazy-cv/tree/main/.agents/skills/claude-api
Command: npx skills add https://github.com/a0972199950/lazy-cv --skill claude-api-a0972199950

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides comprehensive guidance and examples for integrating with the Claude API and its various SDKs, enabling developers to build powerful LLM-powered applications.

Core Features & Use Cases

  • Language-Specific SDKs: Supports Python, TypeScript, Java, Go, Ruby, C#, and PHP.
  • Tool Use & Agents: Guides on implementing function calling, tool runners, and agentic workflows.
  • Advanced Features: Covers streaming, batch processing, file uploads, structured outputs, and more.
  • Use Case: A developer wants to build a chatbot that can access external tools (like a weather API). This Skill provides the necessary code examples and conceptual understanding to implement tool use effectively across different programming languages.

Quick Start

Use the claude-api skill to get started with the Python SDK for making basic message requests.

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 with the Claude API across Python and TypeScript SDKs?

Tool use with the Claude API is implemented by defining functions and passing them to the SDK, enabling agents to execute external workflows. This Skill provides code examples and conceptual frameworks for building tool runners across multiple programming languages.

What programming languages are supported by the Claude API SDKs?

The Claude API SDKs support Python, TypeScript, Java, Go, Ruby, C#, and PHP. This Skill provides guidance and examples for integrating the API across these specific languages to build LLM-powered applications.

How do I handle batch processing and file uploads using the Claude API?

Batch processing and file uploads are handled through advanced features documented in the Claude API Skill. It provides detailed implementation guidance for managing file handling, streaming, and structured outputs effectively.

Does the Claude API support agentic workflows and function calling?

Yes, the Claude API supports agentic workflows through function calling and tool runners. This Skill guides implementing these patterns, including best practices and common pitfalls for building LLM-powered agents.

What are the common pitfalls when building LLM-powered tools with the Claude API?

Common pitfalls when building LLM-powered tools with the Claude API include mismanaging streaming states and error handling. This Skill covers conceptual frameworks and best practices to avoid these issues during agent development.

How do I manage errors and structured outputs in the Claude API?

Error management and structured outputs are core features of the Claude API covered in this Skill. It provides detailed documentation on handling message creation, streaming, and structured data generation across SDKs.