SKILL·6DE808

swarm-advanced

natea
Updated 2 months ago
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Otherswarmdistributedparallelresearchtestingdevelopmentcoordination

About

This skill provides advanced swarm orchestration patterns for complex distributed workflows like research, development, and testing. It enables developers to coordinate multiple specialized agents using both MCP tools and CLI commands for parallel execution. Use it when you need to manage sophisticated multi-agent systems with mesh topologies and task coordination.

Quick Install

Claude Code

Recommended
Primary
npx skills add natea/fitfinder -a claude-code
Plugin CommandAlternative
/plugin add https://github.com/natea/fitfinder
Git CloneAlternative
git clone https://github.com/natea/fitfinder.git ~/.claude/skills/swarm-advanced

Copy and paste this command in Claude Code to install this skill

GitHub Repository

natea/fitfinder
Path: .claude/skills/swarm-advanced
0
FAQ

Frequently asked questions

What is the swarm-advanced skill?

swarm-advanced is a Claude Skill by natea. Skills package instructions and resources that Claude loads on demand, so Claude can perform swarm-advanced-related tasks without extra prompting.

How do I install swarm-advanced?

Use the install commands on this page: add swarm-advanced to Claude Code as a plugin, or clone its repository into your skills directory, then restart Claude so it picks up the skill.

What category does swarm-advanced belong to?

swarm-advanced is in the orchestration category, tagged swarm, distributed, parallel, research, testing and development.

Is swarm-advanced free to use?

Yes. swarm-advanced is listed on AIMCP and free to install. It runs inside Claude, so no separate service account is required to use the skill itself.

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This skill provides advanced swarm orchestration patterns for complex distributed workflows like research, development, and testing. It enables developers to coordinate multiple specialized agents using both MCP tools and CLI commands for parallel execution. Use it when you need to manage sophisticated multi-agent systems with mesh topologies and coordinated task distribution.

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