Spawn, monitor, and terminate autonomous agents via the gobby-agents MCP server.
npx skills add https://github.com/GobbyAI/gobby --skill agents-gobbyai
Please help me install this Agent Skill. Skill: agents Source: https://github.com/GobbyAI/gobby/tree/main/src/gobby/install/shared/skills/agents Command: npx skills add https://github.com/GobbyAI/gobby --skill agents-gobbyai
This skill manages subagent spawning via the gobby-agents MCP server, enabling spawn, cancel, list, and result retrieval for autonomous agents within a session-driven workflow.
Use the agents subcommand to spawn a named agent, for example: /gobby agents meeseeks-claude session_task=#123
High-intent search queries and answers about installing and using this skill.
To spawn autonomous AI agents within a workflow, use the agents subcommand to trigger named or ad-hoc agents with preconfigured workflows, such as passing a session task identifier to initiate the run.
You can track and monitor active agent runs across sessions by using the list_agents tool to view running agents and retrieve their status throughout the orchestration lifecycle.
The best way to stop a running autonomous agent is by using the stop_agent tool for graceful termination or the kill_agent tool to immediately terminate the agent run.
The agents MCP server supports orchestrator and worker workflows for coordinated task execution, allowing you to manage complex multi-agent runs and retrieve individual results.
To retrieve results from a spawned subagent, use the get_agent_result tool after the autonomous agent completes its assigned workflow task within the session.
Use stop_agent for graceful agent lifecycle management when tasks can finish safely, and use kill_agent when you need to immediately force-terminate an autonomous agent run.
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