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obsidian-ontology-sync

Extract entities and relationships from Obsidian notes into a JSONL ontology graph.

Updated Mar 4, 2026
Search Tags:#automation#integration#ontology#pkm#obsidian#sync#knowledge-graph
One-click install
npx skills add https://github.com/velamints2/clawbot-lab --skill obsidian-ontology-sync
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: obsidian-ontology-sync
Source: https://github.com/velamints2/clawbot-lab/tree/main/skills/obsidian-ontology-sync
Command: npx skills add https://github.com/velamints2/clawbot-lab --skill obsidian-ontology-sync

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires pyyaml, and includes scripts (resource) components.

What problem does it solve?

Obsidian notes are human-friendly but lack machine-readable structure. This skill automatically extracts entities and relationships from Markdown files and converts them into a queryable ontology, enabling real-time analytics and smarter note-driven workflows.

Core Features & Use Cases

  • Extracts entities (Person, Organization, Project) and relationships (works_at, assigned_to, met_at) from notes to build a structured graph.
  • Analyzes ontology to surface insights such as data quality, coverage, and relationship patterns.
  • Provides feedback to improve PKM templates and note templates, closing the loop between human notes and machine reasoning.

Quick Start

Configure your vault path, run a dry-run extraction to preview results, then execute the real extraction and enable cron-based automatic syncing.

Frequently Asked Questions about obsidian-ontology-sync

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I build a queryable knowledge graph from Obsidian notes?▼

To build a knowledge graph from Obsidian notes, this Skill extracts entities like Person and Project and their relationships into a structured JSONL ontology. It uses an extract-analyze-feedback loop driven by a YAML config.

Can I automate extracting entities from Obsidian markdown files?▼

Yes, you can automate entity extraction by scheduling cron-based automatic syncing. The script processes references, team notes, and daily-status data to continuously populate your structured ontology without manual intervention.

How do I convert Obsidian contacts and team notes into structured data?▼

You can convert contacts and team notes into structured data by running a dry-run extraction to preview results, then executing the real extraction. This handles team management and contact tracking workflows to output a JSONL ontology graph.

Does this ontology sync tool require Python dependencies?▼

Yes, the ontology sync tool requires the pyyaml Python dependency to parse the YAML configuration that drives the extract-analyze-feedback loop and manages the structured ontology output.

What is the best way to analyze relationship patterns in my Obsidian vault?▼

The best way to analyze relationship patterns is using the built-in analysis feedback loop which surfaces data quality, coverage, and insights. This helps improve your PKM templates by closing the loop between notes and machine reasoning.

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