consensus-orchestrator

Coordinate Claude, ChatGPT, and Gemini verdicts into a unified consensus.

1|Updated Apr 12, 2026
One-click install
npx skills add https://github.com/mytechsonamy/VibeFlow --skill consensus-orchestrator
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: consensus-orchestrator
Source: https://github.com/mytechsonamy/VibeFlow/tree/main/skills/consensus-orchestrator
Command: npx skills add https://github.com/mytechsonamy/VibeFlow --skill consensus-orchestrator

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Orchestrates multi-AI reviews by coordinating Claude, ChatGPT, and Gemini verdicts into a unified decision, including per-CLI timeouts and an automated arbiter trigger.

Core Features & Use Cases

  • Orchestrates a tri-AI review cycle, aggregating verdicts into a single consensus to replace manual CLI subprocess orchestration.
  • Handles input resolution, evidence distillation, and configurable thresholds for decide/advance flows in software review workflows.
  • Use Case: Teams reviewing code changes, design proposals, or documentation can rely on automated multi-AI input to reach faster decisions with auditable records.

Quick Start

Run the consensus orchestrator on a project to execute tri-AI reviews, aggregate verdicts, and record the final consensus.

Frequently Asked Questions about consensus-orchestrator

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

FAQPage Schema
How do I coordinate multi-AI reviews into a single consensus verdict?

Multi-AI review coordination aggregates Claude, ChatGPT, and Gemini verdicts into a unified decision. It orchestrates a tri-AI review cycle, distills evidence, and applies configurable thresholds to automate decide or advance flows.

Can I use automated escalation when consensus thresholds are unmet during software review?

Automated escalation triggers an arbiter when consensus thresholds are unmet during software review. configurable rules evaluate the aggregated verdicts to determine if an automated decision can be reached or if escalation is required.

How do I log multi-AI review sessions for code changes and design proposals?

Session logging records the tri-AI review cycle, evidence distillation, and final consensus for code changes or design proposals. This produces auditable records of the aggregated verdicts and the automated decide or advance flows.

What's the best way to orchestrate CLI subprocesses for tri-AI software reviews?

CLI-based orchestration replaces manual subprocess management by coordinating Claude, ChatGPT, and Gemini verdicts. It handles input resolution and applies per-CLI timeouts to aggregate diverse AI opinions into a single consensus.

Does multi-AI consensus orchestration require specific dependencies for evidence distillation?

Multi-AI consensus orchestration operates without external dependencies. It manages input resolution, per-CLI timeouts, and evidence distillation natively to aggregate tri-AI verdicts into a unified software review decision.