notebooklm-distillerNotebookLM Distiller: Batch knowledge extraction from Google NotebookLM into Obsidian. Supports Q&A generation (15-20 deep questions), structured summaries,...
Install via ClawdBot CLI:
clawdbot install anchor-jevons/notebooklm-distillerGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/openclawAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Researchers can use the skill to distill knowledge from NotebookLM notebooks containing academic papers or literature reviews into structured Obsidian notes. It supports generating Q&A for study, summaries for quick reference, and glossaries for terminology, enhancing research efficiency and knowledge retention.
Companies can employ the skill to extract insights from internal NotebookLM notebooks on topics like product documentation or training materials. It enables creation of quizzes for employee assessment, summaries for reports, and persistent storage in Obsidian for centralized knowledge access.
Content creators can leverage the skill to research topics via NotebookLM's web sessions, distill findings into structured notes in Obsidian, and generate Q&A or summaries for blog posts or articles. This streamlines content ideation and ensures accurate sourcing from NotebookLM.
Individuals can use the skill to distill personal NotebookLM notebooks on hobbies or learning topics into Obsidian for better organization. It supports quiz generation for self-testing, glossary extraction for concept mastery, and direct persistence of notes to build a personal knowledge base.
Developers and technical writers can apply the skill to extract knowledge from NotebookLM notebooks on coding tutorials or API docs. It facilitates creation of structured summaries, glossaries for technical terms, and Q&A for troubleshooting, with persistence in Obsidian for easy reference.
Offer the skill as a cloud-based service with tiered subscriptions for teams, providing enhanced features like collaborative NotebookLM integration, advanced analytics on knowledge extraction, and priority support. Revenue is generated through monthly or annual fees per user.
Provide a free version with basic distillation features, while monetizing through premium add-ons such as advanced quiz customization, bulk processing for large notebooks, and integration with other tools like Notion or Confluence. Revenue comes from one-time purchases or in-app upgrades.
Sell enterprise licenses to large organizations requiring custom integrations, on-premise deployment, and dedicated support for secure knowledge management. Revenue is generated through upfront licensing fees, annual maintenance contracts, and customization services.
💬 Integration Tip
Ensure NotebookLM CLI is properly authenticated and Obsidian vault paths are accessible; use the orchestration flows for Discord quizzes to maintain source transparency and user engagement.
Scored Jun 19, 2026
抖音数据查询与工具助手。覆盖视频详情、用户数据、搜索、热榜、创作者工具、星图达人、内容指数等模块。含部分交互触发和协议工具接口(已标注)。
小红书全场景数据查询助手。支持App和Web多版本API,覆盖笔记详情、用户数据、搜索、商品、评论、话题等全功能。
小红书(RED/XHS)自动化助手。提供完整的小红书操作能力:登录、发布图文/视频、搜索笔记、浏览详情、点赞收藏评论、查看博主主页、内容策划。 当用户提到小红书、红书、XHS、RED、发笔记、搜笔记、小红书运营等任何与小红书相关的操作时使用此 skill,即使用户没有明确说"小红书"但描述的场景明显是小红书(如"...
知乎数据查询助手。覆盖用户信息、搜索、专栏、问答、热榜、评论等全功能。
今日头条数据查询助手。覆盖文章、视频、用户、评论等全功能。
微博全场景数据查询助手。整合App/Web/V2多版本API,覆盖微博详情、用户数据、AI搜索、高级搜索、热搜榜单、评论、视频等全功能。