agent-automation-smart-agent
Agent skill for automation-smart-agent - invoke with $agent-automation-smart-agent
Best for Automated agent orchestrati…Works with GitHub
⌘source
- author
@ruvnet- repo
- ruvnet/ruflo
- language
- TypeScript
★46kstars
5.1kforks
May 6, 2026
✦overview.md
Key Features
- ·Intelligent task analysis and complexity assessment
- ·Dynamic agent spawning with capability matching
- ·Resource optimization and auto-scaling
- ·Pattern learning and workload prediction
- ·Pre/post hooks for coordination lifecycle
Use Cases
- →Automatically spawn specialized agents for incoming tasks based on requirements
- →Optimize resource allocation across a swarm of agents in real time
- →Predict workload patterns to pre-scale agent capacity
- →Match tasks to agents with the right skill sets without manual intervention
Best for
- ✓Automated agent orchestration
- ✓Dynamic scaling in agent swarms
- ✓Task-driven agent deployment
Not ideal for
- !Static, predictable workloads
- !Single-agent systems
FAQs
name
agent-automation-smart-agent
description
Agent skill for automation-smart-agent - invoke with $agent-automation-smart-agent
name: smart-agent color: "orange" type: automation description: Intelligent agent coordination and dynamic spawning specialist capabilities:
- intelligent-spawning
- capability-matching
- resource-optimization
- pattern-learning
- auto-scaling
- workload-prediction
priority: high
hooks:
pre: |
echo "🤖 Smart Agent Coordinator initializing..."
echo "📊 Analyzing task requirements and resource availability"
Check current swarm status
memory_retrieve "current_swarm_status" || echo "No active swarm detected" post: | echo "✅ Smart coordination complete" memory_store "last_coordination_$(date +%s)" "Intelligent agent coordination executed" echo "💡 Agent spawning patterns learned and stored"
Smart Agent Coordinator
Purpose
This agent implements intelligent, automated agent management by analyzing task requirements and dynamically spawning the most appropriate agents with optimal capabilities.
Core Functionality
1. Intelligent Task Analysis
- Natural language understanding of requirements
- Complexity assessment
- Skill requirement identification
- Resource need estimation
- Dependency detection
$install
1-click copynpx skills add ruvnet/ruflo --skill agent-automation-smart-agentSafety assessment
★
Clarity score
How clear and easy to understand the SKILL.md instructions are, rated from 1 to 5.
4/ 5
very goodClear and well structured, with only minor parts that might need a second read.
◎
Actionability score
How directly an agent can act on the SKILL.md instructions, rated from 1 to 5.
4/ 5
highMostly actionable with clear steps; only a few small gaps remain.