Browser automation · Channel: Claude Code

qiaomu-anything-to-notebooklm

多源内容智能处理器:支持微信公众号、网页、YouTube、播客(小宇宙/喜马拉雅)、PDF、Markdown等,自动上传到NotebookLM并生成播客/PPT/思维导图等多种格式。支持深度分析模式和飞书文档自动创建.

Skilljoeseesun/qiaomu-anything-to-notebooklmVerify upstream fit
Rank signal71/100

This rank signal uses GitHub stars, measured star growth, and recent maintenance. It is not a safety score or install approval.

SKILL.md proofSKILL.mdOpen the upstream source before installing.
GitHub stars5,143Adoption baseline, not a quality guarantee.
Adoption momentum+498/wk starsMeasured star growth from the current scan window.
Recent update47 days agoRecent maintenance signal: last pushed Apr 28, 2026.
Why we list it

Worth reviewing before you install

Worth a closer look if the use case fits. It has adoption, measured growth, and recent maintenance. No primary install command was extracted, so review the upstream source first.

Approved public shortlistSKILL.md evidenceAlternatives kept nearby
Best for

Browser automation teams. Channel tag: Claude Code. Treat this as a search fit signal, not compatibility proof. Best when you can review the repo manually before adoption. Start with SKILL.md.

Review before install

Inspect SKILL.md and the install command before adding it to a shared agent workflow. No actionable warning was returned for this snapshot.

Compare alternatives

Compare nearby browser automation skills in the Claude Code channel when 5,143 GitHub stars, source freshness, or install notes are close. This one still needs manual install review, so a nearby skill may be easier to adopt.

GitHub5,143 stars574 forksSkill

How to install qiaomu-anything-to-notebooklm

No install command was extracted. Treat this as a manual review case.

Source evidence preview

We show selected README/SKILL.md excerpts, not a full mirror of the repo. Use the focus cards for install notes, usage, and skill rules, then open GitHub before installing.

Install evidence

No install command was extracted; review the upstream source first.

Usage evidence

Review README.md for usage examples and expected workflow.

Skill rules

Review SKILL.md for trigger rules and constraints.

README.mdSections: ✨ 这是什么?, 播客转写配置(可选), 场景 1:付费文章 → 播客, 场景 2:播客(小宇宙)→ PPT

✨ 这是什么?

一个 Claude Code Skill,用自然语言把任何内容变成任何格式

你说:把这篇微信文章生成播客
AI :✅ 8 分钟播客已生成 → podcast.mp3

你说:这个付费文章做成思维导图
AI :✅ 自动绕过付费墙 → 思维导图已生成

你说:这期播客(小宇宙)做成 PPT
AI :✅ 自动转录音频 → 25 页 PPT 已生成

核心能力:多源内容获取(含付费墙绕过)→ 上传 Google NotebookLM → AI 生成目标格式

播客转写配置(可选)

如需使用小宇宙/喜马拉雅/B站转写功能,配置 Get笔记 API:

export GETNOTE_API_KEY="your_api_key"
export GETNOTE_CLIENT_ID="your_client_id"

场景 1:付费文章 → 播客

你:把这篇 The Information 文章生成播客 https://www.theinformation.com/articles/...

AI 自动执行:
  ✓ 检测付费墙 → Googlebot UA 绕过
  ✓ 获取完整文章内容
  ✓ 上传到 NotebookLM
  ✓ 生成播客

✅ 结果:/tmp/article_podcast.mp3

场景 2:播客(小宇宙)→ PPT

你:这期小宇宙播客做成 PPT https://xiaoyuzhoufm.com/episode/...

AI 自动执行:
  ✓ Get笔记 API 转写音频(2-5 分钟)
  ✓ 上传转写文本到 NotebookLM
  ✓ 生成 PPT

✅ 结果:/tmp/podcast_slides.pdf(25 页)

自动生成 12 个问题(3 轮递进:概览→深度挖掘→综合反刍),逐轮提问,输出结构化 JSON

三轮递进策略

轮次问题数目的示例
第一轮·概览与框架4建立整体认知概括主题、列出结构、提取核心论点、挖掘颠覆性内容
第二轮·深度挖掘5深入细节拆解论证逻辑、分析矛盾、提炼核心洞察、提出尖锐批评
第三轮·综合与反刍3认知升级最大认知改变、行动指南、推荐理由
NotebookLM 在同一会话中保持上下文,后轮问题自动受益于前轮回答,形成真正的"递进式"深度分析。

Need the full source? Read full README on GitHub