How much can I save with prompt caching in Claude?

Implementing ephemeral prompt caching can reduce input token costs by up to 90% for repetitive prompts or large context windows exceeding 1,024 tokens.

Which models support the latest API features?

The latest features, including Structured Outputs and Extended Thinking, are supported on Claude 4.5 (Opus/Sonnet) and Claude 4 Opus models.

What is Strict Tool Use?

Strict Tool Use ensures that the model's generated tool arguments exactly match the provided input schema, preventing validation errors during function execution.

How do I handle errors in streaming responses?

Since SSE errors can occur mid-stream after an initial 200 OK response, this skill provides patterns for implementing error event listeners to handle interruptions gracefully.

What are Claude Structured Outputs?

Structured Outputs guarantee that Claude's responses strictly follow a provided JSON schema, eliminating JSON parsing errors and improving reliability for data extraction tasks.

Claude API & Structured Outputs

Name: Claude API & Structured Outputs
Author: evolv3ai

byevolv3ai

0•

API Development

Builds robust AI applications using the Claude Messages API with guaranteed JSON schemas, prompt caching, and advanced error handling.

This skill provides comprehensive implementation patterns for the Anthropic Messages API, focusing on the latest Claude 4.5 and 4.0 models. It enables developers to implement guaranteed structured outputs via JSON schemas, optimize costs by up to 90% through ephemeral prompt caching, and manage complex streaming SSE responses. By integrating best practices for strict tool use and context management, it helps prevent common architectural errors and ensures high-performance, production-ready AI agent integration.

Key Features

0190% cost reduction strategies using ephemeral prompt caching

020 GitHub stars

03Guaranteed JSON schema validation via Structured Outputs (output_format)

04Advanced streaming SSE error handling and recovery patterns

05Up-to-date model lifecycle guidance for Claude 4.5 and 4.0 migration

06Strict tool use implementation for validated function calling

Use Cases

01Optimizing high-traffic applications for cost and performance via context caching

02Building reliable AI agents that require validated JSON data extraction

03Troubleshooting complex API integration issues like rate limits and stream interruptions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add evolv3ai/claude-skills-archive claude-api

For use in Claude.ai and ChatGPT

Download Skill