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erikvanek

book-notes

by erikvanek

0🍴 0📅 2026年1月23日
GitHubで見るManusで実行

SKILL.md


name: book-notes description: Transcribe handwritten book notes from reMarkable PDFs or paper photos. Trigger phrase "process book notes". Handles single-source book notes with optional chapter structure. Converts handwriting to markdown, applies formatting conventions, generates metadata, creates AI summaries, and appends quotes to a central quotes file. Notes may be in Czech or English.

Book Notes Processor

Transcribe handwritten book notes into structured Obsidian notes.

Trigger

User says "process book notes" and provides either:

  • A PDF file (reMarkable export)
  • Multiple image files (photos of paper notes)

Language

Notes may be in Czech or English. Preserve the original language throughout. Do not translate.

Workflow

1. Convert and Transcribe

For PDF input:

from pdf2image import convert_from_path
images = convert_from_path('notes.pdf', dpi=150)
for i, img in enumerate(images):
    img.save(f'page_{i+1}.png', 'PNG')

For image input: Accept images directly and process in order.

Then visually read and transcribe each page.

2. Verify Content Type

Book notes typically have:

  • Single book source
  • Optional chapter/section structure (H2 headings)
  • Cohesive narrative around one text

If user provides multi-source research notes, suggest: "This looks like multi-source research notes. Should I use 'process deep dive notes' instead?"

3. Apply Formatting Rules

See ../shared/formatting-rules.md for complete conventions. Key rules:

  • ! at bullet start → italics
  • !!! at bullet start → bold
  • Underscored words → bold
  • Numbered sequences → numbered lists
  • H1 (#) marks book title
  • H2 (##) marks chapters/sections if present
  • Quotes: Author: *"Quote text"*

4. Collect Metadata

Ask user for:

  • Book title (if not clear from notes)
  • Author

Then query Obsidian for existing tags:

obsidian-mcp-tools:search_vault_simple with relevant keywords

Select 3-5 tags that match the vault's existing taxonomy.

5. Generate Summary

If transcribed content exceeds ~1 A4 of text, generate a 1-3 paragraph summary covering:

  • Core argument or thesis
  • Key concepts or frameworks
  • Personal insights or applications

Place summary after frontmatter, before raw transcription.

6. Build Frontmatter

---
title: [Book title]
author: [Author name]
date_created: [YYYY-MM-DD]
source_type: book
tags:
  - [3-5 relevant tags from vault]
---

7. Handle Quotes

If transcription contains quotes (format: Author: "Quote text"):

In transcription:

- Author: *"Quote text"*

Append to Obsidian quotes file 10 - 🧠 Knowledge/3 - 📚 Resources/Learning/Quotes.md:

- Author: "Quote text"

8. Save to Obsidian

Create file in inbox: 02 - 📩 Inbox/[Book Title].md

Use obsidian-mcp-tools:create_vault_file with the complete markdown content.

Query Obsidian for related existing notes and add a ## Related notes section with wiki-links at the end.

Output Structure

---
[frontmatter]
---

## Summary

[AI-generated summary if content is long enough]

---

# [Book Title]

- [transcribed bullets with formatting]
- *important point*
- **very important point**
- Author: *"Quote text"*

## [Chapter/Section Name] (if applicable)

- [chapter-specific notes]

## Related notes

- [[Related Note 1]]
- [[Related Note 2]]

スコア

総合スコア

50/100

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SKILL.md

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GitHub Stars 100以上

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3ヶ月以内に更新がある

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10回以上フォークされている

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オープンIssueが50未満

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プログラミング言語が設定されている

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1つ以上のタグが設定されている

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レビュー

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レビュー機能は近日公開予定です