Coordinate multi-agent teams on a shared task board.
npx skills add https://github.com/imgompanda/fireauto --skill fireauto-team-guide
Please help me install this Agent Skill. Skill: fireauto-team-guide Source: https://github.com/imgompanda/fireauto/tree/main/plugin/skills/fireauto-team-guide Command: npx skills add https://github.com/imgompanda/fireauto --skill fireauto-team-guide
This skill enables teams of AI agents to collaborate in a company-model workflow, coordinating tasks, discussions, and approvals to reduce manual coordination overhead.
Create a new team named Acme and add an initial task for the CEO to approve the project roadmap.
High-intent search queries and answers about installing and using this skill.
To coordinate multi-agent teams on a shared task board, you can use built-in tools like TeamCreate to initialize the team and TaskCreate to register and assign tasks to specific members for parallel execution.
AI agents communicate during complex workflows using the SendMessage tool, which enables direct inter-agent communication for real-time discussion, alongside TaskUpdate to synchronize progress across the shared task board.
Yes, you can enforce Git worktree isolation for independent development within multi-agent teams, ensuring that parallel task execution and code modifications remain cleanly separated across different agents.
The best way to manage a company-model workflow with a CEO agent is to initialize a team using TeamCreate, assign roadmap approval tasks via TaskCreate, and spawn member agents using the Agent tool with a required team_name parameter.
To clean up resources after completing multi-agent team tasks, use the TeamDelete tool, which safely removes the team and cleans up the associated shared task board and collaborative resources.
Yes, tracking task progress requires built-in tools such as TaskList to retrieve all team tasks and TaskGet to fetch specific task details, ensuring agents can monitor and resolve decisions in parallel.
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