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do.parse-knowledge

Parse unstructured text into linked Obsidian research notes and wiki concept pages.

6|3|Updated Mar 4, 2026
Search Tags:#obsidian#knowledge-management#atomic-notes#wikilinks#text-parsing#note-refactoring
One-click install
npx skills add https://github.com/dull-bird/DeepOrbit --skill do-parse-knowledge
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: do.parse-knowledge
Source: https://github.com/dull-bird/DeepOrbit/tree/main/skills/do.parse-knowledge
Command: npx skills add https://github.com/dull-bird/DeepOrbit --skill do-parse-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill ingests unstructured text and refactors it into modular, linked Markdown notes that conform to the DeepOrbit/Obsidian vault structure, eliminating manual rewriting and link creation.

Core Features & Use Cases

  • Area & Topic detection: identifies the primary research area and generates a canonical Topic slug and folder.
  • Main note generation: creates a refactored 30_Research/<Area>/<Topic>/<Topic>.md with strict YAML frontmatter and modular content that replaces terms with wikilinks.
  • Atomic Wiki creation: generates concise, timeless concept pages under 40_Wiki and links them from the main note.
  • Use Case: Convert a raw article, meeting transcript, or research draft into a standardized research note and a set of atomic wiki entries ready for Obsidian ingestion.

Quick Start

Ask the agent to refactor the provided text into a 30_Research note and generate linked 40_Wiki entries for the extracted atomic concepts.

Frequently Asked Questions about do.parse-knowledge

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

FAQPage Schema
How do I convert unstructured text into structured Obsidian notes?▼

To convert unstructured text into structured Obsidian notes, this Skill parses raw drafts or transcripts and generates Markdown files with strict YAML frontmatter, aggressive wikilink substitution, and predictable folder paths for automated vault import.

How do I refactor meeting transcripts into atomic notes and wiki links?▼

Refactoring meeting transcripts into atomic notes involves identifying core concepts and generating concise, timeless wiki pages. This Skill extracts atomic concepts from transcripts and creates linked 40_Wiki entries alongside a main research note.

What is the best way to generate atomic concept pages from raw research drafts?▼

Generating atomic concept pages from research drafts is best handled by parsing text into modular components. This Skill refactors drafts into a main 30_Research note and extracts timeless concepts into linked 40_Wiki files for Obsidian ingestion.

Can I use this text parsing Skill with a DeepOrbit vault structure?▼

Yes, you can use this text parsing Skill with a DeepOrbit vault structure. It is specifically designed to output 30_Research Area/Topic notes and 40_Wiki concept files that conform directly to the DeepOrbit/Obsidian folder hierarchy.

Does the generated Markdown include YAML frontmatter for Obsidian import?▼

Yes, the generated Markdown includes strict YAML frontmatter for Obsidian import. The Skill produces structured research notes with standardized metadata and aggressive wikilink substitution to ensure predictable automated vault ingestion.

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