@ruvector/edge-net

Build and manage secure peer-to-peer compute networks for edge AI coordination.

1|Updated Feb 8, 2026
One-click install
npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-edge-net
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: @ruvector/edge-net
Source: https://github.com/ricable/cli-skills-builder/tree/main/.claude/skills/ruvector-edge-net
Command: npx skills add https://github.com/ricable/cli-skills-builder --skill ruvector-edge-net

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the complexity of building and managing distributed, secure, peer-to-peer compute networks, especially for coordinating edge AI nodes.

Core Features & Use Cases

  • Distributed Compute Networks: Enables the creation of peer-to-peer networks for collaborative workloads.
  • Edge AI Coordination: Facilitates the secure communication and workload distribution among edge AI nodes.
  • Secure Mesh Networking: Implements WASM-powered cryptographic security for robust and private network communication.
  • Use Case: Coordinate a fleet of IoT devices running AI models by distributing inference tasks and aggregating results securely across the network.

Quick Start

Create a new distributed compute network by initializing the EdgeNetwork with a list of bootstrap peers.

Frequently Asked Questions about @ruvector/edge-net

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

FAQPage Schema
How do I build a secure distributed peer-to-peer compute network for edge AI coordination?

You can build a secure distributed peer-to-peer compute network by initializing the EdgeNetwork with bootstrap peers, enabling workload distribution and secure messaging across browser and edge nodes.

What encryption does secure edge mesh networking use for peer-to-peer communication?

Secure edge mesh networking uses WASM-powered cryptographic security with AES-256-GCM encryption to protect peer-to-peer communication across distributed compute networks.

Can I coordinate distributed AI inference workloads across IoT devices using WebRTC?

Yes, you can coordinate distributed AI inference workloads across IoT devices by utilizing WebRTC and WebSocket transport to distribute tasks and aggregate results securely.

What's the best way to manage network topology for browser-based edge compute nodes?

Managing network topology for browser-based edge compute nodes is handled natively by the EdgeNetwork, which configures peer connections and maintains mesh routing across distributed nodes.

Does peer-to-peer edge computing support workload distribution without a central server?

Yes, peer-to-peer edge computing supports workload distribution without a central server by connecting browser and edge nodes directly through WebRTC and WebSocket for decentralized task routing.

When should I not use a peer-to-peer WASM network for distributed compute tasks?

You should avoid a peer-to-peer WASM network when your distributed compute tasks require low-latency central orchestration rather than decentralized mesh coordination across edge nodes.