deep-agents-orchestration

Delegate tasks to sub-agents and track multi-step plans with human approval workflows.

2|Updated Mar 7, 2026
One-click install
npx skills add https://github.com/Lincyaw/AgentM --skill deep-agents-orchestration-lincyaw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: deep-agents-orchestration
Source: https://github.com/Lincyaw/AgentM/tree/main/.claude/skills/deep-agents-orchestration
Command: npx skills add https://github.com/Lincyaw/AgentM --skill deep-agents-orchestration-lincyaw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the management of complex, multi-agent workflows by providing robust tools for task delegation, planning, and human oversight.

Core Features & Use Cases

  • Sub-Agent Delegation: Delegate tasks to specialized agents using the task tool for modular and efficient work distribution.
  • Task Planning: Automatically generate and track multi-step tasks using the write_todos tool, ideal for complex projects.
  • Human-in-the-Loop (HITL): Integrate human approval for sensitive operations, ensuring safety and compliance.

Quick Start

Use the deep-agents-orchestration skill to create a new agent that can delegate tasks to a 'researcher' subagent.

Frequently Asked Questions about deep-agents-orchestration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate multi-agent workflows with task delegation and human-in-the-loop approval?

Agent orchestration uses sub-agent delegation via a task tool and middleware to manage interrupt-driven human-in-the-loop approvals. This delegates specialized sub-tasks, generates todo lists for planning, and integrates human oversight for sensitive operations to ensure compliance.

How do I decompose complex AI tasks into trackable multi-step plans?

Task decomposition is handled by automatically generating and tracking multi-step tasks using a write_todos tool. This creates structured todo lists for complex projects, enabling execution monitoring and modular work distribution across delegated sub-agents.

How does human-in-the-loop approval work for sensitive AI agent operations?

Human-in-the-loop approval uses interrupt-driven middleware to pause agent execution for human review. This ensures safety and compliance by requiring explicit human approval before sensitive operations proceed, managing subagent interactions during the wait.

Can I delegate tasks to specialized sub-agents for modular workflow automation?

Yes, task delegation to specialized sub-agents is supported using a task tool for modular work distribution. This allows a primary agent to assign specific operations to a researcher or other specialized sub-agents within complex automated workflows.

What are the limitations of using sub-agent delegation for complex task execution?

Sub-agent delegation relies on middleware for managing interactions and interrupt-driven approvals. Complex task execution requires well-defined todo lists and may face constraints if human-in-the-loop approvals are delayed, impacting workflow automation latency.