hierarchical-coordinator

Validate agent outputs against original objectives at workflow checkpoints.

7|4|Updated Feb 26, 2026
One-click install
npx skills add https://github.com/MadAppGang/magus --skill hierarchical-coordinator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: hierarchical-coordinator
Source: https://github.com/MadAppGang/magus/tree/main/plugins/multimodel/skills/hierarchical-coordinator
Command: npx skills add https://github.com/MadAppGang/magus --skill hierarchical-coordinator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill prevents multi-agent workflows from deviating from the original user's intent by implementing a coordinator agent that validates outputs at checkpoints.

Core Features & Use Cases

  • Goal Alignment: Ensures agents stay focused on original requirements throughout long-running tasks.
  • Drift Detection & Correction: Identifies and guides agents back on track when their output starts to drift from the objective.
  • Use Case: When orchestrating 3+ agents for a complex feature implementation, this Skill acts as a supervisor, ensuring the final output precisely matches the initial request by validating each phase's completion.

Quick Start

Use the hierarchical-coordinator skill to orchestrate a multi-phase feature implementation, ensuring agents maintain focus on the original requirements.

Frequently Asked Questions about hierarchical-coordinator

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

FAQPage Schema
How do I prevent goal drift in multi-agent workflows?

To prevent goal drift in multi-agent workflows, use a coordinator agent that validates outputs against original objectives at checkpoints. This ensures agents stay focused on requirements throughout long-running tasks.

What is checkpoint validation for orchestrating multiple AI agents?

Checkpoint validation for orchestrating multiple agents is a phase-gate enforcement mechanism where a coordinator reviews task artifacts and shared-state outputs to ensure alignment with initial requirements before proceeding.

When do I need a hierarchical coordinator for complex feature implementation?

You need a hierarchical coordinator when orchestrating 3 or more agents for multi-phase features or complex implementations where individual agents may lose sight of original requirements during long-running tasks.

How do I manage shared-state across 3 or more agents in a multi-phase feature?

Manage shared-state across multiple agents by using task artifacts to track progress and enforce phase-gates. A coordinator agent validates these artifacts at checkpoints to detect and correct any output drift.

Does multi-agent orchestration work without phase-gate enforcement?

Multi-agent orchestration can work without phase-gate enforcement, but long-running workflows risk goal drift. Without checkpoint validation, agents may deviate from the original user intent and produce misaligned outputs.