Multi-Robot Coordination Skill

SkillProductivity

Coordination and task allocation for multi-robot systems and fleets

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Multi-Robot Coordination Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/robotics-simulation/skills/multi-robot-coordination/SKILL.md and read by ahel’s review.

Overview

Expert skill for coordinating multi-robot systems including task allocation, path planning, and collision avoidance for robot fleets.

Capabilities

  • Implement auction-based task allocation
  • Configure market-based coordination
  • Set up conflict-based search (CBS) for path planning
  • Implement ORCA/RVO collision avoidance
  • Configure formation control algorithms
  • Set up distributed consensus protocols
  • Implement priority-based planning
  • Configure multi-master ROS communication
  • Set up fleet management APIs
  • Implement traffic management zones

Target Processes

  • multi-robot-coordination.js
  • fleet-management-system.js
  • path-planning-algorithm.js
  • dynamic-obstacle-avoidance.js

Dependencies

  • multimaster_fkie
  • free_fleet
  • Open-RMF

Usage Context

This skill is invoked when processes require multi-robot coordination, fleet management, or multi-agent path planning.

Output Artifacts

  • Task allocation algorithms
  • Multi-robot path planners
  • Collision avoidance configurations
  • Formation control implementations
  • Fleet management APIs
  • Traffic zone configurations

Signals

GitHub stars
2k
Forks
112
Last commit
Sep 2026
Advanced
Item type
skill
Key
multi-robot-coordination-skill
Source
github.com/a5c-ai/babysitter