Install
openclaw skills install x-to-notebooklmClawHub Security found sensitive or high-impact capabilities. Review the scan results before using.
中文:将 X (Twitter) 文章解析并上传到 NotebookLM。使用 r.jina.ai 抓取内容,自动创建 Notebook 并上传文章。 English: Parse X (Twitter) articles and upload to NotebookLM. Uses r.jina.ai to fetch content, automatically creates notebooks and uploads articles.
openclaw skills install x-to-notebooklmEnglish: Quickly parse X (Twitter) articles and upload to Google NotebookLM for deep reading and analysis.
中文: 快速解析 X (Twitter) 文章并上传到 Google NotebookLM,便于深度阅读和分析。
English:
notebooklm login to authenticate)中文:
notebooklm login 完成认证)English:
# Run from workspace root
node ~/.openclaw/workspace/skills/x-to-notebooklm/scripts/x-to-notebooklm.mjs <X_Article_URL>
# Example
node ~/.openclaw/workspace/skills/x-to-notebooklm/scripts/x-to-notebooklm.mjs "https://x.com/elonmusk/status/1234567890"
中文:
# 从工作区根目录运行
node ~/.openclaw/workspace/skills/x-to-notebooklm/scripts/x-to-notebooklm.mjs <X 文章 URL>
# 示例
node ~/.openclaw/workspace/skills/x-to-notebooklm/scripts/x-to-notebooklm.mjs "https://x.com/elonmusk/status/1234567890"
English:
# Specify notebook name
node ~/.openclaw/workspace/skills/x-to-notebooklm/scripts/x-to-notebooklm.mjs <URL> --notebook-name "X Articles"
# Use existing notebook
node ~/.openclaw/workspace/skills/x-to-notebooklm/scripts/x-to-notebooklm.mjs <URL> --notebook-id <existing_notebook_id>
# Verbose output mode
node ~/.openclaw/workspace/skills/x-to-notebooklm/scripts/x-to-notebooklm.mjs <URL> --verbose
中文:
# 指定 Notebook 名称
node ~/.openclaw/workspace/skills/x-to-notebooklm/scripts/x-to-notebooklm.mjs <URL> --notebook-name "X Articles"
# 使用现有 Notebook
node ~/.openclaw/workspace/skills/x-to-notebooklm/scripts/x-to-notebooklm.mjs <URL> --notebook-id <existing_notebook_id>
# 详细输出模式
node ~/.openclaw/workspace/skills/x-to-notebooklm/scripts/x-to-notebooklm.mjs <URL> --verbose
English:
curl + r.jina.ai to extract plain text from X articles中文:
curl + r.jina.ai 提取 X 文章的纯文本内容English:
✅ X article parsed and uploaded successfully
📄 Title: Elon Musk on X: "..."
🔗 URL: https://x.com/elonmusk/status/1234567890
📓 Notebook ID: notebook_abc123
📝 Source ID: source_xyz789
📊 Status: Processing complete
中文:
✅ X 文章解析上传成功
📄 文章标题:Elon Musk on X: "..."
🔗 原始链接:https://x.com/elonmusk/status/1234567890
📓 Notebook ID: notebook_abc123
📝 Source ID: source_xyz789
📊 解析状态:已处理完成
English:
# Default notebook name (if --notebook-name not specified)
export NOTEBOOKLM_DEFAULT_NOTEBOOK="X Articles"
# Verbose mode
export X_TO_NOTEBOOKLM_VERBOSE=true
中文:
# 默认 Notebook 名称(如不指定 --notebook-name)
export NOTEBOOKLM_DEFAULT_NOTEBOOK="X Articles"
# 详细模式
export X_TO_NOTEBOOKLM_VERBOSE=true
English: Authenticate before first use:
# Login using NotebookLM CLI
node ~/.openclaw/skills/tiangong-notebooklm-cli/scripts/notebooklm.mjs login
中文: 首次使用前需要认证:
# 使用 NotebookLM CLI 登录
node ~/.openclaw/skills/tiangong-notebooklm-cli/scripts/notebooklm.mjs login
Q: "NotebookLM CLI not authenticated" error / 提示 "NotebookLM CLI not authenticated"
English:
# Run login command
node ~/.openclaw/skills/tiangong-notebooklm-cli/scripts/notebooklm.mjs login
中文:
# 运行登录命令
node ~/.openclaw/skills/tiangong-notebooklm-cli/scripts/notebooklm.mjs login
Q: r.jina.ai cannot access X article / r.jina.ai 无法访问 X 文章
English:
中文:
Q: Script execution timeout / 脚本执行超时
English:
--timeout 60 parameter中文:
--timeout 60 参数Q: Source ID shows "pending" / Source ID 显示为 "pending"
English:
中文:
English: Due to stricter access restrictions implemented by X (Twitter) after 2023:
中文: 由于 X (Twitter) 在 2023 年后实施了更严格的访问限制:
English:
📓 Notebook ID: 6367c115-bcfa-42f3-b174-456df3537122
📝 Source ID: 658c3733-a02f-4b08-ae16-fc06475d1c19
📊 Status: processed
中文:
📓 Notebook ID: 6367c115-bcfa-42f3-b174-456df3537122
📝 Source ID: 658c3733-a02f-4b08-ae16-fc06475d1c19
📊 解析状态:processed
English:
scripts/x-to-notebooklm.mjs_meta.json~/.openclaw/skills/tiangong-notebooklm-cli/references/cli-commands.md中文:
scripts/x-to-notebooklm.mjs_meta.json~/.openclaw/skills/tiangong-notebooklm-cli/references/cli-commands.mdEnglish:
中文:
Version 1.1.0 / 版本 1.1.0