Multi-Agent Coordination
Coordinates collaborative tasks between multiple AI agents using shared memory, dependency management, and real-time conflict prevention.
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Key features
- Establishes conventions for inter-agent communication through structured notes.
- Implements a three-layer coordination system: Git-based, automated orchestration, and a real-time server.
- Defines a clear ownership protocol for claiming and releasing tasks to prevent conflicts.
- Manages complex task dependencies between projects using `blocked_by` and `blocks` relationships.
- Provides patterns for common multi-agent workflows, such as sequential handoffs and parallel work.
Use cases
- Managing a team of specialized AI agents to complete a multi-stage software project.
- Running multiple agents in parallel to work on independent tasks without causing merge conflicts.
- Orchestrating a complex workflow where the output of one agent's task is the input for another.
FAQ
What does the Multi-Agent Coordination skill do?
This skill enables multiple AI agents (like Claude, Gemini, etc.) to collaborate effectively on complex tasks. It provides a framework for managing shared work, preventing conflicts through an ownership protocol, and handling task dependencies.
When should I use this skill?
Use this skill whenever a project requires more than one AI agent. It's essential for workflows like sequential handoffs, parallel work on different components, or when tasks have complex dependencies that need to be resolved in a specific order.
How does this skill improve my AI coding workflow?
It improves your workflow by preventing conflicts before they happen, automating task handoffs, and clearly defining project ownership. This leads to faster, more reliable collaboration between agents and eliminates manual intervention to resolve work overlaps.
What core capabilities does this skill provide?
It provides a three-layer coordination system (Git-based, automated orchestration, and a real-time server), a clear ownership protocol for tasks, advanced dependency management (`blocked_by`, `blocks`), and established patterns for inter-agent communication via structured notes.