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Multi-Agent Voting Skill

Execute multi-agent voting with MAKER-style error correction for consensus decisions.

Updated Feb 4, 2026
Search Tags:#parallel processing#consensus#error correction#multi-agent voting#MAKER paper
One-click install
npx skills add https://github.com/Marcus-Mok-GH/Chess.com-app --skill multi-agent-voting-skill
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: Multi-Agent Voting Skill
Source: https://github.com/Marcus-Mok-GH/Chess.com-app/tree/main/.migration-backup/.claude/skills/multi-agent-voting
Command: npx skills add https://github.com/Marcus-Mok-GH/Chess.com-app --skill multi-agent-voting-skill

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the challenge of reaching a consensus on critical decisions through multi-agent voting, leveraging the error correction principles of the MAKER paper.

Core Features & Use Cases

  • Consensus Voting: Achieve agreement on decisions like code reviews, breaking changes, and spec validations.
  • Parallel Agent Execution: Simultaneously engage multiple agents to gather diverse opinions.
  • Strategic Voting: Utilize different voting strategies including first-to-ahead-by-k, majority, and unanimous to ensure robustness.
  • Use Case: For instance, when reviewing code, the Skill can gather opinions from multiple agents and determine whether the code should be approved, rejecting conflicting opinions and escalating if necessary.

Quick Start

Execute the 'multi-agent-voting' command to initiate a multi-agent voting process for a critical decision.

Frequently Asked Questions about Multi-Agent Voting Skill

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

FAQPage Schema
How do I reach consensus on critical decisions using multi-agent voting?▼

Parallel agent execution sends the same critical decision to multiple agents simultaneously, gathering diverse opinions that the vote-aggregator module then parses and consolidates to reach a final consensus.

What voting strategies can I use for multi-agent consensus?▼

Multi-agent consensus voting supports multiple strategies including first-to-ahead-by-k, majority, and unanimous voting, allowing you to configure the strictness of agreement required for your specific workflow.

Do I need Python to run multi-agent voting for code reviews?▼

Yes, multi-agent voting requires Python along with specific modules like vote-aggregator to execute parallel tasks, aggregate structured outputs, and apply error correction for critical code review decisions.

When should I use multi-agent voting for spec validation?▼

Multi-agent voting is ideal for spec validation when you need robust error correction and want to escalate conflicting agent opinions, ensuring only thoroughly reviewed decisions are approved.

How do I start a multi-agent voting process for breaking changes?▼

To start a multi-agent voting process for breaking changes, execute the 'multi-agent-voting' command to initiate parallel agent engagement and structured output parsing for consensus.

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