How does it handle security and permissions?

The skill provides best practices for permission modes, including bypass configurations, sandbox exclusions, and custom authorization hooks to ensure secure tool execution.

Does it support Model Context Protocol (MCP)?

Yes, it offers detailed guidance on creating and configuring MCP servers using various transport layers like stdio, SSE, and HTTP.

What is the primary purpose of the Agent SDK skill?

The Agent SDK skill provides expert assistance for developers using the official TypeScript SDK to build, configure, and secure AI agents powered by Claude.

Are the code examples ready for production?

Yes, the skill provides accurate TypeScript code examples with proper type definitions for core SDK functions like query() and tool() definition.

Claude Agent SDK Expert

Name: Claude Agent SDK Expert
Author: Prorise-cool

byProrise-cool

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Developer Tools

Facilitates the development and integration of Claude-powered agents using the official TypeScript SDK.

About

This skill provides comprehensive guidance for developers building with the Claude Agent SDK, offering deep expertise in core functions like query management, custom tool creation, and MCP server configuration. It simplifies complex tasks such as implementing permission hooks, managing file checkpointing for safety, and handling session persistence, ensuring your AI agents are robust, secure, and performant. Whether you are defining subagent patterns or configuring sandboxed environments, this skill delivers accurate API references and production-ready TypeScript examples.

Key Features

Detailed guidance on Model Context Protocol (MCP) server implementation
1 GitHub stars
Production-grade TypeScript code examples with full type support
Security-focused advice on permission modes and sandbox configurations
Comprehensive API reference for query(), tool(), and MCP functions
Best practices for session management and file checkpointing/rewind

Use Cases

Implementing complex authorization hooks and permission logic for secure tool use
Configuring stateful AI workflows with session resumption and file-based checkpoints
Building custom AI agents with specialized tools and MCP server integrations

About

Key Features

Detailed guidance on Model Context Protocol (MCP) server implementation
1 GitHub stars
Production-grade TypeScript code examples with full type support
Security-focused advice on permission modes and sandbox configurations
Comprehensive API reference for query(), tool(), and MCP functions
Best practices for session management and file checkpointing/rewind

Use Cases

Implementing complex authorization hooks and permission logic for secure tool use
Configuring stateful AI workflows with session resumption and file-based checkpoints
Building custom AI agents with specialized tools and MCP server integrations