Multi-Robot Coordination Skill
Coordination and task allocation for multi-robot systems and fleets
Best use case
Multi-Robot Coordination Skill is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Coordination and task allocation for multi-robot systems and fleets
Teams using Multi-Robot Coordination Skill should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/multi-robot-coordination/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How Multi-Robot Coordination Skill Compares
| Feature / Agent | Multi-Robot Coordination Skill | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Coordination and task allocation for multi-robot systems and fleets
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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
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