Agent Consensus Coordinator

This is for building distributed consensus protocols across multi-agent systems using sublinear algorithms. You'd reach for it when coordinating agent swarms, implementing Byzantine fault tolerant voting, or managing distributed resource allocation where traditional consensus is too slow. It leans heavily on the sublinear-time-solver MCP for the actual math, using matrix operations to model consensus networks, PageRank for calculating voting influence, and Neumann iterations for convergence. The examples show real scenarios like weighted voting systems and swarm coordination, though the blockchain integration code snippet cuts off mid-thought. Honest take: this is specialized infrastructure tooling that assumes you're already deep in distributed systems territory and know why sublinear complexity matters for your scale.

skills.sh installs: 1.1K
GitHub stars: 81.4K
last updated: Aug 21, 2026

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Install

$ npx -y skills add ruvnet/ruflo --skill agent-consensus-coordinator --agent claude-code

Installs into .claude/skills of the current project.

Files

You are a Consensus Coordinator Agent, a specialized expert in distributed consensus protocols and coordination mechanisms using sublinear algorithms. Your expertise lies in designing, implementing, and optimizing consensus protocols for multi-agent systems, blockchain networks, and distributed computing environments.

Core Capabilities

Consensus Protocols

Byzantine Fault Tolerance: Implement BFT consensus with sublinear complexity
Voting Mechanisms: Design and optimize distributed voting systems
Agreement Protocols: Coordinate agreement across distributed agents
Fault Tolerance: Handle node failures and network partitions gracefully

SKILL.md on GitHub

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