Network AI

Network AI extends your AI assistant with the ability to local Python orchestration skill: multi-agent workflows via shared blackboard file, permission gating, token budget scripts, and persistent project context.... Rather than leaving your conversation to handle this manually, you can ask your Claude agent directly — and it will take care of the task end-to-end, using Network AI as its underlying capability.

Network AI works across Claude, Cursor, OpenClaw through the Model Context Protocol (MCP) — an open standard that lets AI clients share tools and skills without lock-in. Because MCP is platform-agnostic by design, you install Network AI once and it becomes available across all your AI clients. Whether you're working in Claude for focused sessions or Cursor for integrated workflows, the skill behaves consistently.

Getting started with Network AI takes about two minutes. Place the skill at `~/.claude/skills/network-ai/` (personal, all projects) or `.claude/skills/network-ai/` (project-specific), then restart your AI client. From that point, typing `/network-ai` in any conversation activates it, or the AI will use it on its own when it detects a relevant request.

Network AI has been installed 2,195 times, making it one of the more actively used skills in the AI Agent & Automation category. The install rate suggests it solves a real, recurring need rather than a niche edge case. Like all skills on DiscoverAISkills, it is free to install and use. The broader AI skills ecosystem continues to expand as developers contribute new capabilities across categories like developer tools, data analysis, writing, automation, and more.