Can it help with production deployment?

Yes, the skill covers hosting architectures, environment configuration, cost tracking, and scaling considerations for deploying production-ready agent applications.

Does this skill support both Python and TypeScript?

Yes, it provides comprehensive documentation, API references, and implementation patterns for both the Python and TypeScript versions of the Claude Agent SDK.

How does it help with security and tool permissions?

It provides best practices for the SDK's permissions system, helping you implement auto-approve, prompt-based, or deny-list security controls for sensitive tool operations.

Can I use this for Model Context Protocol (MCP) integration?

Absolutely. The skill includes specific guidance on configuring MCP servers, tool discovery, and managing external service connections through the SDK.

Claude Agent SDK Development

Name: Claude Agent SDK Development
Author: emdashcodes

byemdashcodes

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API Development

Facilitates building, debugging, and extending AI applications using the Claude Agent SDK for Python and TypeScript.

About

This skill provides comprehensive guidance for developers building sophisticated AI agents using the Claude Agent SDK. It offers deep integration support for core features like multi-turn session management, granular permission systems, and structured outputs, alongside advanced extensibility through Skills, Plugins, and the Model Context Protocol (MCP). Whether you are implementing custom tools or deploying production-ready conversational agents, this skill serves as an interactive documentation and troubleshooting assistant that streamlines the development lifecycle for both Python and TypeScript environments.

Key Features

Granular tool permissions and secure user approval workflows
Multi-turn session management and conversation state persistence
Extensibility via Skills, Plugins, and custom Slash Commands
Model Context Protocol (MCP) integration for external services
Structured JSON output generation with schema validation
4 GitHub stars

Use Cases

Migrating legacy AI integrations to the modern Claude Agent SDK architecture
Building a production-grade conversational AI agent with stateful sessions
Implementing secure tool execution with custom permission tiers and approval flows

About

Key Features

Granular tool permissions and secure user approval workflows
Multi-turn session management and conversation state persistence
Extensibility via Skills, Plugins, and custom Slash Commands
Model Context Protocol (MCP) integration for external services
Structured JSON output generation with schema validation
4 GitHub stars

Use Cases

Migrating legacy AI integrations to the modern Claude Agent SDK architecture
Building a production-grade conversational AI agent with stateful sessions
Implementing secure tool execution with custom permission tiers and approval flows