An intelligent parser that converts Logseq markdown pages into individual, context-aware slipbox entries while maintaining source integrity.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install slipbot-logseq-importer
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install slipbot-logseq-importer using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Logseq Import?
The Logseq Import skill is a specialized utility within the Openclaw Skills ecosystem designed to bridge the gap between outliner-based note-taking and the Zettelkasten method. It automates the process of ingestion by parsing page-level metadata and transforming hierarchical bullet points into standalone notes. This ensures that every piece of information captured in Logseq is properly atomized and categorized within your broader knowledge graph.
By leveraging the power of Openclaw Skills, this tool intelligently flattens nested structures by prepending parent context to child bullets, ensuring that resulting notes remain coherent without their original visual hierarchy. It also enforces a clean-slate approach to organization by stripping legacy tags and metadata, allowing the system to generate fresh, relevant taxonomy based on current content.
Logseq Import Use Cases
- Migrating literature notes from Logseq into a permanent Zettelkasten.
- Processing daily journals or fleeting notes into actionable, atomized knowledge points.
- Batch importing book summaries where each bullet point represents a distinct insight.
- Reorganizing legacy markdown outlines into a structured slipbox managed by Openclaw Skills.
How Logseq Import Works
- The skill performs a pre-import analysis of the Logseq page properties and bulleted content.
- It generates a summary for the user, including the source metadata and the total count of potential notes to be created.
- Upon user confirmation, it extracts page properties such as author, title, and source URL.
- It iterates through bullets, flattening nested hierarchies by merging parent context into child nodes for standalone clarity.
- It cleans the content by removing Logseq-specific IDs, block-tags, and inline hashtags.
- Each processed bullet is sent to the slipbot workflow to finalize the note creation with automated tagging and linking.
Logseq Import Setup
To utilize this skill within your AI agent environment, ensure it is registered in your configuration. You can invoke it by pasting Logseq markdown content directly into your agent interface.
# Example of triggering the import logic via CLI if supported
openclaw skills run logseq-import --file ./path/to/logseq-page.md
Logseq Import Data Schema & Taxonomy
The skill maps Logseq page properties to internal slipbox fields using the following logic:
| Logseq Property | Target Field | Notes |
|---|---|---|
title:: |
source.title |
Extracted as the primary reference |
author:: |
source.author |
Maps to the source creator |
source:: |
source.type/url |
Parses markdown links or plain text |
type:: |
Note Hint | Used to guide the note classification |
tags:: |
IGNORED | Discarded to allow for fresh tag generation |
Logseq Import Advanced Features
- Contextual Flattening: Deeply nested bullets are automatically enriched with ancestor text to ensure they make sense as individual notes.
- Tag Sanitization: Automatically removes all legacy #tags and block-tags to prevent metadata pollution in the target slipbox.
- Confirmation Workflow: A safety layer that provides a summary and note count before any file operations are performed.
- Metadata Stripping: Intelligent removal of Logseq internal
id::properties and malformed metadata blocks.
SKILL.md
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