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Nexus Multi-Agent Collaboration Hub

AI Agent Updated 2026.08.29

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About this skill

Problem

Multi-agent systems often fail because role boundaries are unclear, process artifacts are scattered, and cross-agent communication lacks a stable format. Nexus Multi-Agent Collaboration Hub targets OpenClaw workflows and splits task planning, search, code execution, documentation, monitoring, and user notification into six fixed roles: main, gatherer, coder, writer, monitor, and notifier.

How it works

The skill uses a central coordination model, fixed workspace layout, and enforced output format:
- Coordinator Jarvis/main handles task decomposition, global coordination, reviews, and memory management.
- Perceiver Xunyi/gatherer handles search, source collection, and requirement clarification.
- Executor Zhicheng/coder handles code generation, debugging, and technical feedback.
- Writer Shuyan/writer handles documentation, meeting notes, and expression polish.
- Monitor Muguan/monitor handles task monitoring, alerts, and logging.
- Notifier Jianxin/notifier handles result delivery and user communication.

Key steps include startup self-check, routing external messages through the coordinator, wrapping internal communication in code blocks, storing artifacts under directories from /0_config to /6_output, and retaining user preferences, long-term agent memory, task history, and rules under /memory.

Boundaries

This skill fits OpenClaw workflows that need multi-role collaboration, process traceability, and a fixed delivery format. It may be heavier for one-shot prompts, short answers, or tasks without persistent memory. Users should pay attention to role permissions, workspace write access, log volume, and how memory files are actually maintained.

Use Cases

  • In OpenClaw, decompose a single request into search, coding, docs, monitoring, and notification subtasks with coordinator output.
  • Store retrieved materials, generated code, and logs under `/2_gather`, `/3_code`, and `/5_log`, then deliver from `/6_output`.
  • Configure monitoring and alerts for scheduled or long-running tasks, with `notifier` sending user updates when needed.
  • Use the fixed external message format for results and code-blocked internal comms to trace multi-agent collaboration.

Best For

  • Engineers building OpenClaw multi-agent workflows and needing clear `main`, `coder`, and `writer` role boundaries.
  • Technical leads who want task decomposition, search, coding, docs, and monitoring under one directory and message format.
  • Developers who need stable user notification and process traceability for multi-agent results, not just single-model calls.
  • Agent application authors maintaining long-term memory, review notes, and rule directories for role-based collaboration.