Can I control which tools an agent can access?

Yes, the SDK allows you to define allowedTools and disallowedTools arrays to strictly manage agent capabilities and ensure secure tool usage.

Where is agent memory and context stored?

Best practices recommend using the .claude/CLAUDE.md file within your project directory for project-specific context and subagent definitions.

How do I initialize a basic agent with the SDK?

You can initialize an agent by importing the Agent class from the SDK and specifying the model, system prompt, and settingSources to load project-specific context.

Does this skill support cloud providers like AWS Bedrock?

Yes, the skill covers configuration patterns for Anthropic direct access, AWS Bedrock, Google Vertex AI, and Azure OpenAI.

Claude Agent SDK Architect

Name: Claude Agent SDK Architect
Author: TheBushidoCollective

byTheBushidoCollective

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API開発

Streamlines the initialization and configuration of specialized Claude AI agents using the TypeScript SDK.

概要

This skill provides a standardized framework for building robust AI agents with the Claude Agent SDK, covering everything from basic initialization to advanced multi-provider configuration. It enforces best practices for model selection, environment-based authentication, and granular tool permissions, ensuring that agents are both secure and efficient. By implementing structured project memory via CLAUDE.md and specialized subagent directories, this skill helps developers create maintainable, production-ready AI workflows that leverage the full capabilities of Claude 3.5 Sonnet and other Anthropic models.

主な機能

Automated agent initialization with model-specific defaults
39 GitHub stars
Granular tool permission management using allow and block lists
Standardized directory structure for subagents and skill definitions
Multi-provider authentication patterns for Bedrock, Vertex AI, and Azure
Multi-source context loading from project and user-level memory

ユースケース

Bootstrapping a specialized coding assistant for a new TypeScript project
Setting up secure production environments using cloud-specific authentication providers
Configuring multi-agent systems with hierarchical subagent definitions

概要

主な機能

Automated agent initialization with model-specific defaults
39 GitHub stars
Granular tool permission management using allow and block lists
Standardized directory structure for subagents and skill definitions
Multi-provider authentication patterns for Bedrock, Vertex AI, and Azure
Multi-source context loading from project and user-level memory

ユースケース

Bootstrapping a specialized coding assistant for a new TypeScript project
Setting up secure production environments using cloud-specific authentication providers
Configuring multi-agent systems with hierarchical subagent definitions