claude-agent-sdk-agent-creation
Use when creating or configuring Claude AI agents using the Agent SDK. Covers agent initialization, configuration, and basic setup patterns.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
Claude Agent SDK - Agent Creation
Creating and configuring AI agents using the Claude Agent SDK with TypeScript.
Core Agent Initialization
Basic Agent Creation
import { Agent } from '@anthropic-ai/claude-agent-sdk';
const agent = new Agent({
model: 'claude-3-5-sonnet-20241022', // Latest model
systemPrompt: 'You are a helpful assistant specialized in...',
settingSources: ['project'], // Load .claude/CLAUDE.md from project
allowedTools: ['read_file', 'write_file', 'list_files'],
});
Configuration Options
System Prompts
// Direct system prompt
const agent = new Agent({
systemPrompt: 'You are an expert code reviewer...',
});
// Load from CLAUDE.md
const agent = new Agent({
settingSources: ['project'], // Loads ./.claude/CLAUDE.md
});
// User-level memory
const agent = new Agent({
settingSources: ['user'], // Loads ~/.claude/CLAUDE.md
});
Tool Permissions
// Allow specific tools
const agent = new Agent({
allowedTools: [
'read_file',
'write_file',
'list_files',
'grep',
'bash',
],
});
// Block specific tools
const agent = new Agent({
disallowedTools: ['bash', 'web_search'],
});
// Permission modes
const agent = new Agent({
permissionMode: 'strict', // Require explicit approval
});
Agent Directory Structure
Required Structure
project/
├── .claude/
│ ├── CLAUDE.md # Project memory
│ ├── agents/
│ │ └── specialist.md # Subagent definitions
│ ├── skills/
│ │ └── my-skill/
│ │ └── SKILL.md # Skill definitions
│ └── commands/
│ └── my-command.md # Slash commands
└── src/
└── index.ts # Your code
Authentication
Environment Variables
# Anthropic API (primary)
export ANTHROPIC_API_KEY="sk-ant-..."
# Alternative providers
export AWS_ACCESS_KEY_ID="..."
export AWS_SECRET_ACCESS_KEY="..."
export AWS_REGION="us-east-1"
# Google Vertex AI
export GOOGLE_APPLICATION_CREDENTIALS="/path/to/credentials.json"
# Azure
export AZURE_OPENAI_API_KEY="..."
export AZURE_OPENAI_ENDPOINT="..."
SDK Configuration
// Anthropic direct
const agent = new Agent({
apiKey: process.env.ANTHROPIC_API_KEY,
});
// Amazon Bedrock
const agent = new Agent({
provider: 'bedrock',
model: 'anthropic.claude-3-5-sonnet-20241022-v2:0',
});
Best Practices
Always Specify Model
// Good
const agent = new Agent({
model: 'claude-3-5-sonnet-20241022',
});
// Avoid: relying on default model
const agent = new Agent({});
Use Explicit Setting Sources
// Good
const agent = new Agent({
settingSources: ['project'],
});
// Avoid: unclear memory source
const agent = new Agent({
systemPrompt: '...',
});
Separate Project and User Memory
// Project-specific context
const projectAgent = new Agent({
settingSources: ['project'],
});
// User preferences
const userAgent = new Agent({
settingSources: ['user'],
});
Anti-Patterns
Don't Hardcode API Keys
// Bad
const agent = new Agent({
apiKey: 'sk-ant-hardcoded-key',
});
// Good
const agent = new Agent({
apiKey: process.env.ANTHROPIC_API_KEY,
});
Don't Mix Conflicting Permissions
// Bad: contradictory permissions
const agent = new Agent({
allowedTools: ['read_file', 'write_file'],
disallowedTools: ['read_file'], // Conflict!
});
// Good: clear permissions
const agent = new Agent({
allowedTools: ['read_file'],
});
Related Skills
- tool-integration: Working with tools and MCP servers
- context-management: Managing agent context and memory
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-02-04
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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