ai-accelerated-learning:把 NotebookLM 式学习流程封装成 Agent Skill

介绍 SkillHub 社区 Skill ai-accelerated-learning(@user_723e643c/ai-accelerated-learning)。它基于 MIT 伊特沙姆·阿里 NotebookLM 方法论,通过数据整合、关键三问(思维模型/争议地图/鉴别性问题)与验证迭代,在 48–72 小时尺度内引导用户深度掌握陌生领域。文章说明安装提示、典型触发语句、包内 SKILL.md 与模板文件,并区分适用场景与不宜使用的简单问答场景。

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dsh-notebook-knowledge-studio: Run a NotebookLM-style local knowledge workbench in DSH Web UI

# Introduction Intelligent agent developers typically accumulate a wealth of materials locally: documents, scraped webpages, and pasted snippets. To use them for Q&A and organization, the common approach is to upload them to an online note-taking service and rely on its AI features—the trade-off being that the data leaves your local machine. If you are already using DeepSeek Harness (dsh) and agree with its "everything is a plugin" philosophy, you can actually mount a local-first knowledge workbench directly in the Web UI. The `iZY3/dsh-notebook-knowledge-studio` introduced below is exactly such a plugin: its workflow mimics NotebookLM, and data is stored in local Markdown files.

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