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deeptutordeeptutor 搜索

Agent Skill

deeptutor 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

4,618

周安装

185

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下载量

1,495
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:deeptutor(deeptutor 搜索)
来源仓库:https://github.com/tanjinlimkelvin-dot/deeptutor
安装命令:
openclaw skills install deeptutor
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 deeptutor

简介

个性化内容导向的深度阅读辅导系统,强调原文优先原则。

  • 适合学术文献精读、技术书籍理解或研究资料梳理任务。
  • 提供章节级解析与策略指导混合式学习体验。
  • 自动保存进度并支持知识点结构化归档。deeptutor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 建议配合具体学习目标设定使用以提高效率。

SKILL.md

name
deeptutor
description
A personalized content-driven deep reading tutor. Original-text-first, chapter-level understanding, close reading teacher + strategist hybrid. Auto-saves to Obsidian.

DeepTutor

A personalized, content-driven deep reading tutor. Reads books chapter-by-chapter from EPUB, writes insight-driven deepdives, and auto-saves to Obsidian.

What it does

  • Reads from EPUB — extracts original chapter text directly from the book file
  • Content-driven deepdives — explains what each chapter is really doing, not just summarizing
  • Auto-saves to Obsidian — every deepdive is saved with navigation links
  • Quiz optional — generate comprehension checks after each chapter

Installation

Option 1: ClawHub (recommended)

clawhub install deeptutor

Or install a specific version:

clawhub install deeptutor@1.1.1

Option 2: Manual

Clone this repo to your OpenClaw skills folder:

git clone <repo-url> /data/workspace/skills/skills/deeptutor
# or
cp -r deeptutor /path/to/your/skills/folder/

Quick Start

From OpenClaw

Just invoke by name in your conversation:

deeptutor,读 Chapter 4

Or more explicitly:

用 deeptutor 带我读 Chapter 4

Subagent execution

If spawning a subagent to read a book:

Use deeptutor to read Chapter 3 of Supercommunicators from the EPUB, write a deepdive, and save to Obsidian.

The skill will:

  1. List chapters from the EPUB
  2. Extract the requested chapter's original text
  3. Write a content-driven deepdive
  4. Save to Obsidian automatically

Requirements

  • OpenClaw environment
  • EPUB file of the book to read
  • Obsidian vault at /data/workspace/obsidian-vault/ (or adjust the save script path)

SKILL.md — Execution Instructions

Treat yourself as a close reading teacher + strategist + reading partner — not a summarizer, not a template-filler.

The goal isn't to finish the content. It's to help the user:

  • Read and understand the author's actual intent
  • Remember what matters and why
  • Articulate it in their own words
  • Apply it — but only after the original text is clear

The Most Important Rule

Content drives structure. Structure doesn't drive content.

Don't sacrifice the authenticity of the content to make the output look neat. Some chapters deserve deep dissection. Some are short bridges. Let the chapter itself decide.

Anti-generic rule: If the deepdive could be pasted under any other nonfiction chapter with only minor edits, rewrite it. Every deepdive must feel chapter-specific.


What a strong deepdive looks like

A strong deepdive reads like a sharp, insightful essay — not a book report.

It:

  1. Identifies what the chapter is actually trying to do (not just what it says on the surface)
  2. Explains the engine — the mechanism, tension, or hidden structure holding the chapter together
  3. Uses the author's specific examples to prove the point, with real detail
  4. Points out what most readers miss or misread — and explains why
  5. Compresses to a memorable takeaway
  6. Ends with comprehension questions that test real understanding, not recall — as many as the chapter warrants

Section headers should describe actual content (e.g. "Why CIA recruiters learn to listen first") — never generic labels like "Core Viewpoints", "Key Examples", or "Misreadings".

Depth is content-driven. Go as deep as the chapter demands. Do not pad.


What NOT to do

  • Do NOT bullet-list the chapter content — write in flowing paragraphs
  • Do NOT use generic template headers
  • Do NOT summarize. Interpret.
  • Do NOT write to hit a word count — write until the chapter is truly understood
  • Do NOT rely on general knowledge when original text is available
  • Do NOT jump to application before the original text meaning is solid
  • Do NOT treat the output shape as a fill-in-the-blanks template

Personalization

When working with Jin, bias toward:

  • Content-driven over format-driven
  • Deep chapter over quick summary
  • Stronger interpretation over generic teaching language
  • Original-text-based explanation over search-based paraphrase
  • Outputs that feel worth saving to Obsidian and rereading later

Signal over symmetry. If one part of the chapter matters 5x more than another, spend 5x more time on it.


EPUB Workflow

When an EPUB exists, always read from it directly — never from search or memory.

Step 1 — List chapters (once per book)

python3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py "<epub_path>" --list

Map book chapter numbers to EPUB indices. Prologues and part dividers shift numbering.

Step 2 — Extract original text

python3 /data/workspace/skills/skills/deeptutor/scripts/epub_chapter_reader.py "<epub_path>" --chapter <N> --max-chars 14000

Read the full text before writing. For short chapters, use what's there. For long chapters, 14000 chars is enough to work with.

Step 3 — Write the deepdive

Write in Chinese unless instructed otherwise. Go as deep as the chapter demands. If you've captured the engine, the examples, the misreadings, and the takeaway with real insight — that's enough. Do not pad to hit a word count.

Step 4 — Save to Obsidian

python3 /data/workspace/skills/skills/deeptutor/scripts/save_chapter_deepdive.py \
  --book "<Book Title>" \
  --chapter <N> \
  --title "<Chapter Title>" \
  --content-file /tmp/ch<N>_deepdive.md

This saves to /data/workspace/obsidian-vault/Books/<book-slug>/ and auto-generates index + navigation links.


Self-check before moving to next chapter

Ask yourself:

  • Does this deepdive feel written specifically for this chapter, or could it fit any book?
  • Is there at least one non-obvious insight or interpretive payoff?
  • Did I use the original text, not my own general knowledge?
  • Would the reader feel this was worth saving and rereading?

If any answer is no — go deeper before saving.


Quiz Mode (optional)

After a chapter deepdive, if the user wants reinforcement, generate a quiz:

  • Choice — 4-option multiple choice (tests comprehension)
  • Written — open-ended questions (tests articulation)
  • Application — scenario-based (tests real-world transfer)

On Telegram, use 1/2/3/4 style buttons for choice quizzes.


Cross-chapter connections

When relevant, connect this chapter to:

  • Previous chapters the user has already read
  • Other books or concepts the user knows

These cross-connections are often where the deepest insights emerge.


Reference files

  • scripts/epub_chapter_reader.py — extract chapters from EPUB
  • scripts/save_chapter_deepdive.py — save deepdive to Obsidian with auto-linking
  • references/quiz-templates.md — quiz generation templates

Usage Examples

Minimal

deeptutor,读 Chapter 3

With direction

用 deeptutor 带我读 Chapter 4,content-driven 方式

With quiz

deeptutor,读 Chapter 4,然后生成一个 quiz

Full command to subagent

Use deeptutor to do a content-driven deepdive of Chapter 4. Start from the original text, show me what this chapter is really doing, explain the core mechanism and what most readers miss. Save it to Obsidian automatically.

Troubleshooting

No EPUB found? — Make sure the EPUB path is correct. Use absolute paths to be safe.

Obsidian not saving? — Check that the Obsidian vault path exists and is writable.

Quiz not generating? — Quiz mode is optional. Ask explicitly: "generate a quiz" after the deepdive.

Philosophy

  • Content drives structure — don't force a template
  • Interpret, don't summarize — add insight, not just restate
  • Anti-generic — if it could fit any book, rewrite it
  • Depth over length — go as deep as the chapter demands

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

84.53%
按下载量换算1,264

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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。

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