Swarm Planner
The Swarm Planner efficiently organizes tasks into a coordinated swarm of agent actions, streamlining complex workflows and boosting productivity.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add swarm-planner npx -- -y @trustedskills/swarm-planner
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"swarm-planner": {
"command": "npx",
"args": [
"-y",
"@trustedskills/swarm-planner"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
What it does
The swarm-planner skill enables AI agents to coordinate and manage multiple autonomous entities, or "swarms," working together toward a common goal. It supports dynamic task allocation, real-time decision-making, and efficient resource management across distributed systems.
When to use it
- Managing fleets of drones for delivery or surveillance tasks.
- Coordinating multiple robots in manufacturing or warehouse environments.
- Optimizing traffic flow using autonomous vehicles in smart cities.
- Handling complex logistics operations with decentralized teams.
Key capabilities
- Dynamic task assignment based on real-time conditions.
- Scalable coordination across large numbers of agents.
- Conflict resolution and path optimization for swarm members.
- Integration with external APIs for environmental sensing or control systems.
Example prompts
- "Coordinate a swarm of 20 drones to deliver packages in a city while avoiding obstacles."
- "Optimize the movement of autonomous vehicles in a traffic grid to reduce congestion."
- "Assign tasks to multiple robots on an assembly line based on current workload and priorities."
Tips & gotchas
- Ensure all swarm members have consistent communication protocols for effective coordination.
- Performance may degrade with extremely large swarms due to increased computational overhead.
Tags
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