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.