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distributed-consensus

Coordinate replicated-state decisions across multiple distributed nodes.

7|Updated Feb 14, 2026
Search Tags:#consensus#distributed#replication#leadership#fault-tolerance#quorum
One-click install
npx skills add https://github.com/KentoShimizu/sw-agent-skills --skill distributed-consensus
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: distributed-consensus
Source: https://github.com/KentoShimizu/sw-agent-skills/tree/main/skills/distributed-consensus
Command: npx skills add https://github.com/KentoShimizu/sw-agent-skills --skill distributed-consensus

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Use this policy to ensure replicated-state correctness when multiple nodes must agree on state transitions despite crashes and partitions.

Core Features & Use Cases

  • Quorum and Commit Rules: Define how many nodes must agree before a state change is committed, balancing safety and availability.
  • Leader Election & Safety: Establish deterministic leadership and clear commit conditions to avoid divergence.
  • Membership Change Safety: Provide safe add/remove and rejoin processes to maintain quorum and prevent split-brain.
  • Use Case: Distributed databases coordinating commits across shards and replicas in dynamic clusters.

Quick Start

Define the baseline policy in assets/consensus-policy-template.md, tailor rules in references/consensus-policy-rules.md, and validate behavior with failure simulations.

Frequently Asked Questions about distributed-consensus

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

FAQPage Schema
How do I prevent split-brain during leader election in a distributed database?▼

Distributed consensus policies prevent split-brain by enforcing deterministic leader election and strict quorum rules, ensuring only nodes with majority agreement commit state transitions across replicas.

What is the best way to handle membership changes without breaking quorum in replicated state machines?▼

Handling membership changes safely requires consensus rules that validate rejoin and add/remove processes to maintain quorum, preventing divergence and ensuring safe state transitions across dynamic cluster nodes.

How do I define commit rules for crash- and partition-tolerant state replication?▼

Commit rules for partition-tolerant state replication are defined by setting quorum thresholds, which specify the exact number of nodes required to agree before a state change is safely committed despite crashes.

Can I use consensus policies for dynamic clusters with frequent node failures?▼

Yes, consensus policies are designed for dynamic clusters experiencing frequent node failures, validating failure conditions and applying crash- and partition-tolerant rules to maintain safety across members.

Do I need to run failure simulations to validate quorum and safety guarantees?▼

Failure simulations are required to validate quorum behavior and safety guarantees, ensuring your consensus policy rules correctly handle crashes, partitions, and membership changes during state transitions.

When do I need distributed consensus for coordinating multi-node state?▼

You need distributed consensus when multiple nodes must agree on state transitions across shards and replicas, requiring crash- and partition-tolerant coordination to ensure safety and prevent divergence.

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