Multi-Robot Coordination Skill
Coordination and task allocation for multi-robot systems and fleets
npx skills add a5c-ai/babysitter --skill multi-robot-coordination --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Multi-Robot Coordination Skill ## 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
- Overview
- Capabilities
- Target Processes
- Dependencies
- Usage Context
- Output Artifacts
What does the Multi-Robot Coordination Skill skill do?
Coordination and task allocation for multi-robot systems and fleets
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill multi-robot-coordination --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.