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x-to-notebookx 到笔记本

Agent Skill

x-to-notebook 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

9,809

周安装

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GitHub Stars

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下载量

3,175
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:x-to-notebook(x 到笔记本)
来源仓库:https://github.com/spideystreet/x-to-notebook
安装命令:
openclaw skills install x-to-notebook
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install x-to-notebook

简介

x-to-notebook 可将 X/Twitter 书签自动推送至 Google NotebookLM 笔记本中。

  • 适用于希望将精选推文整合进知识库、构建个人学习系统的用户群体。
  • 由书签文件夹自动路由内容,简化跨平台信息同步流程。
  • 安装命令为 openclaw skills install x-to-notebook,需授权访问 Google Workspace 账户。
  • 使用前请验证 NotebookLM API 集成状态与书签同步延迟情况。

SKILL.md

name
x-to-notebook
description
Push X/Twitter bookmarks into Google NotebookLM notebooks, auto-routed by bookmark folder. Use when the user wants to send bookmarks to NotebookLM, says "push my bookmarks", "sync bookmarks to notebook", or "send X bookmarks to NotebookLM".
metadata
{"openclaw":{"requires":{"bins":["uv","mcporter"],"mcp":["notebooklm"]}}}

X to Notebook

Fetches X bookmarks organized by folder and auto-routes them to matching NotebookLM notebooks by name.

Prerequisites

  • twikit installed: cd ~/.openclaw && uv add twikit
  • X cookies exported from browser to ~/.openclaw/credentials/x-cookies.json (use Cookie-Editor extension on x.com)
  • notebooklm-mcp-cli installed: uv tool install notebooklm-mcp-cli
  • Google Chrome installed (for persistent auth)
  • NotebookLM authenticated: nlm login
  • notebooklm MCP server registered in mcporter: mcporter config add notebooklm --command "notebooklm-mcp"

Workflow

1. Fetch bookmark folders

{
  "tool": "exec",
  "command": "uv run --project ~/.openclaw {baseDir}/scripts/list_folders.py"
}

Parse the JSON output. If exit code 1, report the error and stop.

2. Fetch bookmarks per folder

For each folder from step 1, plus unfiled bookmarks (no --folder-id):

{
  "tool": "exec",
  "command": "uv run --project ~/.openclaw {baseDir}/scripts/fetch_bookmarks.py --folder-id <folder_id>"
}

For unfiled bookmarks (no folder):

{
  "tool": "exec",
  "command": "uv run --project ~/.openclaw {baseDir}/scripts/fetch_bookmarks.py"
}

Skip folders that return no new bookmarks.

3. List notebooks

{
  "tool": "exec",
  "command": "mcporter call notebooklm.notebook_list"
}

If mcporter error → "NotebookLM MCP server not available. Register it with: mcporter config add notebooklm --command \"notebooklm-mcp\"" and stop.

If auth expired → "NotebookLM session expired. Run: nlm login" and stop.

4. Auto-match folders to notebooks

Match each folder name to a notebook title (case-insensitive, emojis and -notebook/-bookmarks suffix stripped). For example, folder "🦞 openclaw-notebook" matches notebook "OpenClaw". Display the matching plan:

Folder routing:
- "AI Research" → notebook "AI Research" (3 new bookmarks)
- "Claude Code" → notebook "claude code" (2 new bookmarks)
- "Random" → no matching notebook
- "Unfiled" → no matching notebook

5. Handle unmatched folders

For each folder (including "Unfiled") with no matching notebook, ask:

No notebook matches folder "Random" (4 bookmarks). Pick one:
1. Notebook Title A
2. Notebook Title B
+ Create new notebook
s. Skip this folder

If user picks "create new", ask for a title:

{
  "tool": "exec",
  "command": "mcporter call notebooklm.notebook_create title=\"<title>\""
}

If user picks "skip", skip those bookmarks entirely.

6. Push bookmarks

For each folder with a resolved notebook, push each bookmark as a text source (X URLs can't be scraped by NotebookLM):

{
  "tool": "exec",
  "command": "mcporter call notebooklm.source_add notebook_id=\"<notebook_id>\" source_type=text text=\"@author: tweet text\
\
Source: https://x.com/author/status/id\""
}

Report progress per folder. If a push fails, report which tweet failed and continue.

7. Mark as pushed

After successful pushes, mark bookmark IDs:

{
  "tool": "exec",
  "command": "uv run --project ~/.openclaw {baseDir}/scripts/mark_pushed.py <id1> <id2> ..."
}

Only mark IDs that were successfully pushed.

8. Confirm

Report per-folder summary:

Bookmarks synced:
- "AI Research" — 3 pushed
- "Claude Code" — 2 pushed
Skipped: "Random" (user skipped)

9. Error handling

  • fetch_bookmarks.py auth error → "X session expired. Re-export cookies from your browser to ~/.openclaw/credentials/x-cookies.json"
  • NotebookLM MCP not registered → "NotebookLM MCP server not available. Register it with: mcporter config add notebooklm --command \"notebooklm-mcp\""
  • NotebookLM auth expired → "NotebookLM session expired. Run nlm login in your terminal"
  • source_add fails → report the URL and error, continue with remaining bookmarks
  • No bookmarks in any folder → "No new bookmarks to push."

Examples

User saysExpected behavior
"push my bookmarks"Fetch folders + bookmarks, auto-match to notebooks, ask for unmatched, push
"send my X bookmarks to NotebookLM"Same flow
"sync bookmarks to notebook"Same flow

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

89.31%
按下载量换算2,836

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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