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Tool-first multi-agent runtime controls for the current conversation.
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Based on SOC occupation classification
| name | agent-manager |
| description | Tool-first multi-agent runtime controls for the current conversation. |
| description_cn | 面向工具的多代理运行时控制能力。 |
| license | Apache-2.0 |
| metadata | {"author":"deepseek-cowork team","version":"2.0"} |
| security_level | medium |
| allowed-tools | ["spawn_agent","send_input","wait_agent","close_agent","list_agents"] |
This skill exposes dedicated tools to manage persisted sub-agents in the current conversation.
spawn_agent: create a sub-agent for a task.send_input: continue an existing sub-agent with another user message.wait_agent: wait until one or more sub-agents complete.close_agent: stop and close a sub-agent.list_agents: inspect persisted sub-agent summaries.ChatStorage (agents and agent_messages tables).parallel_tools.Build-focused skill for creating, updating, and installing standard Agent Skills.
Manage SOP templates, scheduled automation tasks, and run history through AI-callable tools.
提供独立的命令执行与 skill 脚本执行能力。
Query chat history by keywords and date ranges.
Provides interaction capabilities with the user.
Meta skill for AI self-evolution. Invoke when recording lessons learned and improving skill guidance from execution feedback.