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fleet-rebuttal

Coordinate four-phase cross-machine rebuttals with task briefs, verdicts, critiques, and chief synthesis.

2|Updated Apr 5, 2026
Search Tags:#synthesis#phase-based#verdict#distributed-ai#cross-machine#rebuttal
One-click install
npx skills add https://github.com/supportersimulator/multi-fleet --skill fleet-rebuttal
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: fleet-rebuttal
Source: https://github.com/supportersimulator/multi-fleet/tree/main/skills/fleet-rebuttal
Command: npx skills add https://github.com/supportersimulator/multi-fleet --skill fleet-rebuttal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Cross-machine rebuttal protocol enables multiple machines to independently produce verdicts, critique each other's work, and converge on a single, transparent chief decision, preserving dissent.

Core Features & Use Cases

  • 4-phase collaboration: task briefing, local verdicts, cross-machine critiques, and chief synthesis.
  • Structured verdicts and critiques that preserve dissent and provide evidence.
  • Edge-case handling for offline nodes, late verdicts, and unresolved dissent; ideal for distributed AI coordination across fleets.

Quick Start

Broadcast a task brief to all machines and initiate the four-phase rebuttal cycle.

Frequently Asked Questions about fleet-rebuttal

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

FAQPage Schema
How do I coordinate distributed AI verdicts across multiple machines to reach a single decision?▼

Cross-machine rebuttal protocols enable multiple machines to independently produce verdicts, critique each other's work, and converge on a single chief decision through a structured four-phase cycle while preserving dissenting opinions.

How do I start a cross-machine rebuttal cycle for distributed AI nodes?▼

Start a cross-machine rebuttal cycle by broadcasting a task brief to all participating machines, which triggers the phase-based workflow of local verdicts, critiques, and chief synthesis.

Does distributed AI coordination handle offline nodes and late verdicts during the rebuttal process?▼

Distributed AI coordination handles offline nodes and late verdicts during the rebuttal process through explicit edge-case handling, ensuring fault tolerance and safety during phase transitions.

What is the best way to preserve dissent when multiple AI machines critique each other's verdicts?▼

Preserve dissent when AI machines critique each other's verdicts by using structured schemas and evidence-based critique phases that explicitly record unresolved disagreements before chief synthesis.

Do I need a specific framework to run phase-based rebuttal workflows across a fleet of machines?▼

No specific framework is required to run phase-based rebuttal workflows across a machine fleet; the protocol operates independently without dependencies, using explicit schemas to enforce safety and transparency.

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