book-notes
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.
Installation
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
View source ↗GuidesSkill instructions
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.
9. Add Related Notes
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]]
Examples
Read the usage examples in the source repository.
View source ↗Source history
- Indexed on
- 2026-01-20
- Index updated
- 2026-01-26
- Branch
- main
Index and sync dates describe this directory. View the source repository for code history.
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