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Send a message to another agent or broadcast to all agents via Neohive. Use when the user wants to communicate with a specific agent or the whole team.
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Based on SOC occupation classification
Implements Neohive-assigned work as a Coder, Frontend, or specialist agent using MCP tools correctly—register, listen, lock_file, tasks, Node/Volta-safe MCP configs, and dashboard API headers. Use when working in a Neohive-enabled repo, when the user asks to register/listen, or when integrating with .neohive/ and the collaboration server.
Neohive multi-agent collaboration conventions. Automatically loaded when working in a multi-agent team to ensure proper tool usage, communication patterns, and workflow management.
Launch a multi-agent team from a template. Lists available templates and generates prompts for each agent. Use when starting a new multi-agent collaboration, team session, or when the user says "launch team" or "start agents".
Create a multi-agent workflow plan from a natural language description. Breaks down the task into steps, assigns to agents, and creates the workflow. Use when the user describes a feature or task they want the team to build.
Show the current status of the Neohive multi-agent team — who's online, active tasks, workflow progress, and recent messages. Use when the user asks about agent status, team progress, or "what's happening".
Runs Neohive multi-agent coordination from MCP or the dashboard without wasting tokens rediscovering ports, CSRF headers, task rules, or listen/check_messages patterns. Use when acting as Coordinator, Manager, or Lead; when assigning Neohive work; when using dashboard REST APIs from curl/scripts; or when the user mentions tasks.json, workflows, or coordinator_mode.
| name | send |
| description | Send a message to another agent or broadcast to all agents via Neohive. Use when the user wants to communicate with a specific agent or the whole team. |
Send a message to an agent or the entire team.
all), rest is the messagelist_agents and ask the user which agent to targetall, call broadcast(content=<message>)send_message(to=<agent>, content=<message>)listen() after sending to stay in the listen loop