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claude-api

Guide Claude API and Anthropic SDK integration for correct, efficient applications.

1|Updated May 5, 2026
Search Tags:#streaming#tool use#claude api#structured outputs#prompt caching#model migration#anthropic sdk
One-click install
npx skills add https://github.com/yashs33244/my-mac-claude --skill claude-api-yashs33244
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/yashs33244/my-mac-claude/tree/main/skills/anthropic/claude-api
Command: npx skills add https://github.com/yashs33244/my-mac-claude --skill claude-api-yashs33244

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps you design, debug, and optimize Claude API / Anthropic SDK applications so your integration is correct, efficient, and future-proof.

Core Features & Use Cases

  • Claude/SDK-first implementation guidance: Ensures code calls the official Anthropic SDK (or raw HTTP only when explicitly requested), with correct endpoint behavior and response handling.
  • Prompt caching and performance optimization: Guides prompt prefix stability, cache-control placement, and verification of cache hit rates using usage fields.
  • Model migration and version readiness: Supports migrating code across model families and handling breaking changes between Claude versions (including retired-model replacements).
  • Tool use and agentic workflows: Covers tool calling patterns, streaming, structured outputs, and agent-related concepts (including Managed Agents guidance where applicable).
  • Prompt caching + feature tuning: Helps you add features like citations, files, thinking/effort settings, tool use, batches, and batch-friendly patterns without breaking caching.

Quick Start

Tell the AI what language and framework you’re using, name the feature you want to implement in your Claude app (e.g., prompt caching or tool use), and specify which file or endpoint behavior is currently failing so you can get a precise, Claude-native fix.

Frequently Asked Questions about claude-api

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

FAQPage Schema
How do I verify prompt caching is working with the Anthropic SDK?▼

Verify prompt caching in the Anthropic SDK by checking the usage.cache_read_input_tokens field in the API response to confirm cache hits. Ensure prompt prefix stability and correct cache-control placement to maintain caching efficiency.

How do I migrate my Claude API code across different model versions?▼

Migrate Claude API code by updating model IDs and parameters to match the target version, handling breaking changes and retired model replacements. This ensures your application remains compatible and fully functional across new Claude model families.

Does the Claude API support streaming responses with structured outputs?▼

Yes, the Claude API supports streaming responses alongside structured outputs and tool use. You can implement streaming by configuring the Anthropic SDK to handle incremental response delivery while maintaining structured output formatting.

Can I use raw HTTP requests instead of the Anthropic SDK for my application?▼

Yes, you can use raw HTTP requests to call POST /v1/messages, but the Anthropic SDK is recommended for standard implementations. Raw HTTP should only be used when explicitly required to ensure correct endpoint behavior and response handling.

How do I add features like citations and files without breaking prompt caching?▼

Add features like citations, files, and thinking settings without breaking prompt caching by maintaining prompt prefix stability and verifying cache-control placement. Check usage.cache_read_input_tokens to confirm caching remains active after feature tuning.

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