Is the Python SDK covered?

Yes, it provides comprehensive installation guides, sync/async usage patterns, and over 30 specific code snippets for Python integration.

What models does the Anthropic Expert skill support?

It covers all current models including Claude 3.5 Sonnet, 4.5 Sonnet, 4.1 Opus, and legacy models via the Messages API.

How does this help with the Claude Code CLI?

It includes 44 specific topics ranging from basic setup to advanced concepts like hooks, custom slash commands, plugins, and sub-agents.

Does it include support for the Model Context Protocol (MCP)?

Absolutely. It covers MCP server development, client integration, and specific implementation patterns across the API and Claude Code.

Can I use this skill to help with cost management?

Yes, it provides detailed documentation on the Admin API, prompt caching (up to 90% cost reduction), and message batching for 50% cost savings.

Anthropic Expert

Name: Anthropic Expert
Author: adaptationio

byadaptationio

Learning & Documentation

Provides a comprehensive knowledge base and implementation guide for the entire Anthropic product ecosystem, including API, SDKs, and Claude Code.

About

Anthropic Expert is a specialized skill designed to bridge the gap between development and documentation for all Anthropic products. It offers deep technical insights into Claude models, the Messages API, Python and Agent SDKs, Model Context Protocol (MCP), and the Claude Code CLI. By providing searchable references, code snippets, and cross-product integration patterns, this skill empowers developers to implement advanced features like prompt caching, extended thinking, and autonomous agents with high precision and efficiency.

Key Features

0 GitHub stars
Deep integration guides for Python and Agent SDKs with over 50 code examples.
Full Model Context Protocol (MCP) server development and client integration support.
Comprehensive documentation for all Claude models including Sonnet 4.5 and Opus 4.1.
Complete Claude Code CLI mastery covering hooks, plugins, and sub-agents.
Administrative insights for cost optimization, usage tracking, and enterprise security.

Use Cases

Integrating external tools and services via custom MCP servers and Claude Code plugins.
Building and deploying autonomous AI agents using the Anthropic Agent SDK.
Optimizing API costs and latency through advanced features like Prompt Caching and Message Batches.

About

Key Features

0 GitHub stars
Deep integration guides for Python and Agent SDKs with over 50 code examples.
Full Model Context Protocol (MCP) server development and client integration support.
Comprehensive documentation for all Claude models including Sonnet 4.5 and Opus 4.1.
Complete Claude Code CLI mastery covering hooks, plugins, and sub-agents.
Administrative insights for cost optimization, usage tracking, and enterprise security.

Use Cases

Integrating external tools and services via custom MCP servers and Claude Code plugins.
Building and deploying autonomous AI agents using the Anthropic Agent SDK.
Optimizing API costs and latency through advanced features like Prompt Caching and Message Batches.