claude-api

Migrate Claude models and implement prompt caching for Anthropic SDK projects.

Updated May 8, 2026
One-click install
npx skills add https://github.com/dougdliu/FRC_AI_Mega_Project --skill claude-api-dougdliu
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: claude-api
Source: https://github.com/dougdliu/FRC_AI_Mega_Project/tree/main/skills/anthropic/claude-api
Command: npx skills add https://github.com/dougdliu/FRC_AI_Mega_Project --skill claude-api-dougdliu

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Build, debug, and optimize Claude API / Anthropic SDK apps with robust prompt caching and migration between Claude model versions.

Core Features & Use Cases

  • Prompt caching across Claude API workflows to improve latency and reliability.
  • Migration tooling to upgrade/retire Claude models and migrate code imports.
  • Guidance for integrating Managed Agents and tool use within Claude-based projects.

Quick Start

Identify a Claude API project and implement prompt caching and model-migration guidelines to migrate code and improve reliability.

Frequently Asked Questions about claude-api

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

FAQPage Schema
How do I implement prompt caching in my Claude API application?

Implement prompt caching in your Claude API application by applying caching guidelines to your Anthropic SDK workflows, which improves latency and reliability across requests. This ensures cached prompts are reused efficiently within your project structure.

What is the best way to migrate code between Claude model versions?

Migrate code between Claude model versions using migration tooling that validates upgrades (e.g., 4.5 to 4.6) and updates Anthropic SDK imports. This ensures your project structure remains compatible and avoids non-Anthropic code imports.

Can I integrate tool use and managed agents with the Anthropic SDK?

Yes, you can integrate tool use and Managed Agents within Claude-based projects by following specific structural guidance for the Anthropic SDK. This ensures proper feature tuning for batch processing, files, and memory within your application.

Does this approach support debugging Claude API latency and reliability issues?

Debugging Claude API latency and reliability issues is supported by applying prompt caching and feature tuning guidelines to your Anthropic SDK code. This optimizes request workflows and validates project structure during model upgrades.

Why are my Claude API imports failing after a model upgrade?

Claude API imports may fail after a model upgrade if non-Anthropic code is present or the SDK imports are not migrated correctly. Migration tooling validates code changes and project structure to prevent these integration errors.

What features can I tune when building apps with the Claude API?

When building apps with the Claude API, you can tune features including prompt caching, thinking, compaction, tool use, batch processing, files, and memory. This ensures comprehensive optimization across your Anthropic SDK workflows.