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@ruvector/raft

Implements the Raft consensus algorithm for distributed coordination, leader election, and log replication.

1|Updated Feb 8, 2026
Search Tags:#distributed systems#consensus#fault tolerance#raft#leader election#log replication
One-click install
npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-raft
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: @ruvector/raft
Source: https://github.com/ricable/cli-skills-builder/tree/main/.claude/skills/ruvector-raft
Command: npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-raft

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides a robust implementation of the Raft consensus algorithm, enabling the creation of fault-tolerant, strongly consistent distributed systems.

Core Features & Use Cases

  • Leader Election: Automatically elects a leader in a distributed cluster.
  • Log Replication: Ensures all nodes have a consistent, replicated log of operations.
  • Fault Tolerance: Continues to operate even if a minority of nodes fail.
  • Use Case: Building a distributed key-value store where data consistency across multiple servers is paramount, or implementing a coordination service that must remain available despite node failures.

Quick Start

Use the @ruvector/raft skill to start a new Raft node with a given ID and list of peers.

Frequently Asked Questions about @ruvector/raft

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

FAQPage Schema
How does Raft consensus handle leader election and log replication in distributed systems?▼

Raft consensus handles leader election by automatically electing a leader within a distributed cluster, and manages log replication by ensuring all nodes maintain a consistent, replicated log of operations for strong consistency.

How do I build a fault-tolerant distributed key-value store with strong consistency?▼

You can build a fault-tolerant distributed key-value store with strong consistency by implementing the Raft consensus algorithm, which ensures data consistency across multiple servers and remains available despite node failures.

Can I use TCP and WebSocket transports for distributed coordination with Raft?▼

Yes, you can use TCP and WebSocket transports for distributed coordination with Raft. The implementation supports various transport options and includes features for persistent data storage and snapshotting.

When do I need Raft consensus for distributed systems fault tolerance?▼

You need Raft consensus for distributed systems fault tolerance when building coordination services that must remain available despite node failures, requiring strong consistency guarantees and a replicated log of operations across a cluster.

Does Raft consensus work if a minority of nodes fail in my distributed cluster?▼

Yes, Raft consensus works if a minority of nodes fail in your distributed cluster. The algorithm is designed for fault tolerance, allowing the system to continue operating and maintaining strong consistency as long as a majority of nodes remain available.

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