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BytesAgain β€Ί Skills β€Ί SlipBot Logseq Importer
πŸ¦€ ClawHub

SlipBot Logseq Importer

by @jrswab

Import notes from Logseq pages into the slipbox. Use when user pastes a Logseq page with properties and bulleted notes. Parses page-level properties, extracts each bullet as an individual note, handles nested bullets by adding parent context, then runs slipbot for each.

Versionv1.0.0
Downloads1,259
#clawhub
TERMINAL
clawhub install slipbot-logseq-importer

πŸ“– About This Skill

name: logseq-import description: Import notes from Logseq pages into the slipbox. Use when user pastes a Logseq page with properties and bulleted notes. Parses page-level properties, extracts each bullet as an individual note, handles nested bullets by adding parent context, then runs slipbot for each.

Logseq Import

Parse a Logseq page and create individual slipbox entries for each bullet point.

Critical Rule: Ignore All Tags

Do not import any tags from Logseq. This includes:

  • Page-level tags:: property
  • Inline #tags in bullet content
  • block-tags:: metadata

    • Slipbot generates its own tags based on content. Logseq tags would conflict with this.

    Input Format

    Logseq pages have two parts:

    1. Page Properties (top of page, key:: value format): 

    type:: #literature
source:: Book
author:: David Kadavy
title:: Digital Zettelkasten
alias:: zettelkasten-book
status::
tags::

    2. Bulleted Notes (markdown list): 

    - First note content here

  • Second note with [[page ref]] link
    • 
  - Nested bullet under second

  • Third note id:: abc123-uuid
    •

    Property Mapping

    | Logseq Property | Slipbox Field | |-----------------|---------------| | title:: | source.title | | source:: | source.type (if plain text like "Book") | | source:: text | source.title + source.url (if markdown link) | | author:: | source.author | | type:: #literature | Note type hint (maps to note) | | alias:: | Ignore | | status:: | Ignore | | tags:: | Ignore (slipbot generates better tags) |

    Empty properties (e.g., author:: with no value) β†’ null

    Parsing Rules

    Properties

    1. Extract all key:: value lines at the top 2. Stop when hitting first bullet (- ) 3. Strip # from values like #literature 4. Parse markdown links: text β†’ extract both parts

    Bullets

    1. Each top-level bullet (- ) becomes its own slipbox note 2. Nested bullets: Add parent context to make them standalone - Example parent: - [[Fleeting Notes]]: quick notes written anywhere - Example child: - Can be on paper or digital - Result: "Fleeting Notes (quick notes written anywhere) can be on paper or digital" 3. Strip Logseq metadata from bullets: - id:: uuid β†’ remove - block-tags:: #xxx β†’ remove entirely - #tag inline tags β†’ remove entirely (slipbot generates its own) - #{"{" or malformed tags β†’ remove 4. Convert [[page refs]] β†’ plain text (potential link targets)

    Content Cleanup

  • Remove trailing id:: xxx from bullets
  • Remove block-tags:: xxx entirely
  • Remove all #tag inline tags (slipbot generates its own tags)
  • Preserve markdown formatting (bold, italic, code)

    • Workflow

    1. Precheck (before import) - Parse the page properties and bullets (don't create notes yet) - Generate a brief summary of what the page is about (1-2 sentences based on title, author, and content themes) - Count total notes that will be created (including nested bullets that become standalone) - Present to user: summary, note count, source info - Ask for confirmation before proceeding with import - If user declines, stop and don't create any notes

    2. Parse the page (after confirmation) - Extract page properties β†’ source metadata - Extract all bullets β†’ note list - Handle nesting by enriching child bullets with parent context

    3. For each bullet, invoke slipbot workflow: - Use - {content} prefix (note type) - Include source: ~ {source.type}, {source.title} by {source.author} - Let slipbot handle: filename, tags, links, graph update

    4. Report results - Count of notes created - Any issues encountered

    Example

    Input: 

    type:: #literature
source:: Book
author:: David Kadavy
title:: Digital Zettelkasten
  • Rewriting ideas helps decide their importance
    • 

  • [[Fleeting Notes]]: quick notes written anywhere
    • 
  - Can be captured on paper or digitally

  • Keywords should be specific to the idea id:: abc123
    •

    Processing: 1. Source: Book, "Digital Zettelkasten" by David Kadavy 2. Bullets extracted: - "Rewriting ideas helps decide their importance" - "Fleeting Notes: quick notes written anywhere" - "Fleeting Notes can be captured on paper or digitally" (nested, parent context added) - "Keywords should be specific to the idea" (id stripped)

    3. Each sent to slipbot as: - - Rewriting ideas helps decide their importance ~ Book, Digital Zettelkasten by David Kadavy - etc.

    Edge Cases

  • No properties: Treat as standalone notes without source
  • Deeply nested bullets (3+ levels): Flatten, accumulating context from all ancestors
  • Citation sections (## Citation:): Ignore (redundant with properties)
  • Non-bullet content: Ignore headers, paragraphs outside bullets
  • Multiple [[refs]] in one bullet: Keep all, convert to plain text

    • πŸ’‘ Examples

    Input: 

    type:: #literature
source:: Book
author:: David Kadavy
title:: Digital Zettelkasten
  • Rewriting ideas helps decide their importance
    • 

  • [[Fleeting Notes]]: quick notes written anywhere
    • 
  - Can be captured on paper or digitally

  • Keywords should be specific to the idea id:: abc123
    •

    Processing: 1. Source: Book, "Digital Zettelkasten" by David Kadavy 2. Bullets extracted: - "Rewriting ideas helps decide their importance" - "Fleeting Notes: quick notes written anywhere" - "Fleeting Notes can be captured on paper or digitally" (nested, parent context added) - "Keywords should be specific to the idea" (id stripped)

    3. Each sent to slipbot as: - - Rewriting ideas helps decide their importance ~ Book, Digital Zettelkasten by David Kadavy - etc.