菜单
面向 OpenClaw 的多 agent 编排技能。用于设计或审计多个 session / subagent / ACP agent 之间的任务拆分、上下文裁剪、权限隔离、并行策略与结果回收。
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when the user wants academic literature search, paper discovery, citation graph lookup, PubMed or Google Scholar retrieval, arXiv or Rxiv preprint search, or AI4Scholar-powered citation insertion inside Codex. Prefer the bundled script over generic web search when the user explicitly wants AI4Scholar.
Create a concise plan. Use when a user explicitly asks for a plan related to a coding task.
Use this skill whenever the user wants to create, read, edit, or manipulate Word documents (.docx files). Triggers include: any mention of "Word doc", "word document", ".docx", or requests to produce professional documents with formatting like tables of contents, headings, page numbers, or letterheads. Also use when extracting or reorganizing content from .docx files, inserting or replacing images in documents, performing find-and-replace in Word files, working with tracked changes or comments, or converting content into a polished Word document. If the user asks for a "report", "memo", "letter", "template", or similar deliverable as a Word or .docx file, use this skill. Do NOT use for PDFs, spreadsheets, Google Docs, or general coding tasks unrelated to document generation.
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Academic literature review workflow for research topic selection. Use when user asks to do literature survey, research topic exploration, or systematic review for a specific field. Triggers include: "literature review for [field]", "research topic selection", "help me design a search strategy", "systematic literature search", or when user describes a multi-step research workflow involving database searching, relevance assessment, journal filtering, and topic analysis.
Use this skill when the user wants to work with Google NotebookLM from Codex through the `notebooklm-py` CLI, including logging in, listing notebooks, selecting a notebook, adding sources, asking questions, exporting metadata, or generating NotebookLM artifacts.
| name | multi-agent-orchestration |
| description | 面向 OpenClaw 的多 agent 编排技能。用于设计或审计多个 session / subagent / ACP agent 之间的任务拆分、上下文裁剪、权限隔离、并行策略与结果回收。 |
多 agent 不是“多开几个助手一起跑”。真正重要的是：
sessions_spawn 拆分任务典型可拆成：
sessions_spawn(runtime="acp")，不要绕远路。