This covers Deep Agents' three orchestration patterns: delegating work to specialized subagents via the task tool, planning complex workflows with todo lists, and requiring human approval for sensitive operations. The subagent delegation is especially useful when you need to isolate complex work or use specialized tools without cluttering your main agent's context. The examples show practical patterns like creating researcher subagents with custom tools, setting up approval workflows for database operations, and managing multi-step API development tasks. One thing to watch out for is that custom subagents don't inherit skills from the main agent, so you need to explicitly configure their capabilities.
npx skills add https://github.com/langchain-ai/langchain-skills --skill deep-agents-orchestration