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Agent Swarm

Skill Verified Active

Agent skill for swarm - invoke with $agent-swarm

Purpose

To provide a sophisticated system for deploying, coordinating, and scaling multi-agent swarms in cloud environments, enabling complex task execution through intelligent collaboration.

Features

  • AI swarm orchestration and management
  • Deployment and scaling of multi-agent systems
  • Intelligent coordination of specialized agents
  • Swarm topology configuration (hierarchical, mesh, ring, star)
  • Agent lifecycle management

Use Cases

  • Coordinating multiple AI agents for complex task execution
  • Building scalable, collaborative multi-agent systems in the cloud
  • Managing specialized AI agents with specific capabilities
  • Dynamically scaling agent swarms based on workload

Non-Goals

  • Replacing core AI model functionalities
  • Providing agents for tasks outside of orchestration and management
  • Operating without a suitable cloud or agent execution environment

Workflow

  1. Analyze complex objective
  2. Select optimal swarm structure
  3. Spawn specialized agents
  4. Establish communication patterns
  5. Monitor swarm performance
  6. Adjust swarm size dynamically

Practices

  • Agent Orchestration
  • Swarm Management
  • Security Auditing
  • Code Quality
  • AI Workflow Automation

Prerequisites

  • Claude Code environment
  • MCP server (if not using plugin path)

Documentation

  • info:Configuration & parameter referenceThe SKILL.md provides examples of tool parameters, but a comprehensive reference detailing all options, defaults, and precedence order is not explicitly provided.

Code Execution

  • info:LoggingWhile not explicitly detailed, the observability features and focus on auditing in the documentation suggest that logging mechanisms are likely in place for actions and errors.

Scope

  • info:Tool surface sizeThe core skill and provided MCP examples showcase a focused set of tools, but the README indicates a much larger ecosystem of 32+ plugins and 100+ agents, suggesting a large overall surface area managed through modularity.

Installation

npx skills add ruvnet/ruflo

Runs the Vercel skills CLI (skills.sh) via npx — needs Node.js locally and at least one installed skills-compatible agent (Claude Code, Cursor, Codex, …). Assumes the repo follows the agentskills.io format.

Quality Score

Verified
95 /100
Analyzed about 20 hours ago

Trust Signals

Last commitabout 22 hours ago
Stars50.2k
LicenseMIT
Status
View Source

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