etherclaw-tier-system

Automate multi-tier hierarchical agent systems from task tree depth.

Updated Apr 1, 2026
One-click install
npx skills add https://github.com/shogochiai/vibecoding-demo --skill etherclaw-tier-system
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: etherclaw-tier-system
Source: https://github.com/shogochiai/vibecoding-demo/tree/main/.claude/skills/etherclaw-tier-system
Command: npx skills add https://github.com/shogochiai/vibecoding-demo --skill etherclaw-tier-system

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the creation and management of hierarchical agent systems based on task tree depth, streamlining complex multi-tier workflows.

Core Features & Use Cases

  • Automated Hierarchical Agent Setup: Generates Manager/Worker tiers aligned with task depth for scalable task execution.
  • Session Protocol Management: Defines clear roles, responsibilities, and delegation rules for each tier.
  • Monitoring and Coordination: Utilizes status files, tmux sessions, and clock monitoring to track progress and handle failures in multi-tier systems.
  • Use Case: Implementing a multi-level AI assistant to handle large, complex projects with distinct responsibilities at each level, ensuring efficient task delegation and completion tracking.

Quick Start

Load your task tree configuration in task-tree.toml, then run etherclaw up task-tree.toml to initialize the tiered agent system.

Frequently Asked Questions about etherclaw-tier-system

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

FAQPage Schema
How do I automate hierarchical task delegation for multi-tier agent systems?

Automate hierarchical task delegation by loading a task tree configuration in `task-tree.toml` and running `etherclaw up` to initialize Manager and Worker tiers. This enforces clear role definitions and reliable inter-tier communication.

What is the best way to monitor status and handle failures in a multi-tier AI workflow?

Monitor status in multi-tier AI workflows using status files, tmux sessions, and clock monitoring. This system tracks progress and handles failures by enforcing structured session protocols across all generated agent tiers.

How do I set up a multi-level AI assistant to handle large-scale automation projects?

Set up a multi-level AI assistant by defining your task tree depth to automatically generate corresponding hierarchical tiers. This creates a scalable task orchestration environment with distinct delegation responsibilities at each level.

Does this hierarchical task management system require specific dependencies to run?

No specific dependencies are required to run this hierarchical task management system. You only need to provide your `task-tree.toml` configuration file to initialize the tiered agent system and begin automated task execution.

When should I use automated tier generation for task management?

Use automated tier generation when managing large, complex projects that require multi-tier workflows. It is essential when you need distinct role definitions, scalable task execution, and reliable session protocol management across hierarchical levels.

Can I define custom roles and responsibilities for each tier in an agent system?

Yes, you can define custom roles through the session protocol management feature. It establishes clear responsibilities, delegation rules, and inter-tier communication guidelines for each generated Manager and Worker tier.