Analyze Obsidian vaults and generate MOC templates with Python scripts.
npx skills add https://github.com/oalanicolas/ia --skill pkm-vault-master
Please help me install this Agent Skill. Skill: pkm-vault-master Source: https://github.com/oalanicolas/ia/tree/main/Claude Code/skills/pkm-vault-master Command: npx skills add https://github.com/oalanicolas/ia --skill pkm-vault-master
This Skill helps you organize and structure Personal Knowledge Management (PKM) vaults, especially Obsidian vaults following the Linking Your Thinking (LYT) framework. It streamlines vault analysis, link discovery, and MOC generation to reduce friction and cognitive load.
Use the pkm-vault-master skill to analyze your vault folder with: python scripts/vault_analyzer.py /path/to/vault --detailed
High-intent search queries and answers about installing and using this skill.
Linking Your Thinking (LYT) is a framework for structuring PKM vaults to improve navigation and content discovery. This Skill analyzes your vault, identifies orphan and hub notes, generates MOC (Map of Content) templates across three stages, and provides guidance to enforce LYT principles throughout your vault structure.
Vault analysis identifies metrics like orphan notes (isolated from links), hub notes (highly connected), and link density patterns. This reveals which notes lack visibility, which topics act as knowledge hubs, and where gaps in your linking structure exist.
The Skill uses moc_generator.py to automatically create structured MOC templates in three stages, starting from your note collections. MOCs serve as navigation indices that organize related notes hierarchically, reducing friction when exploring your knowledge base.
Yes. The link_finder.py component surfaces related notes based on content similarity, helping you identify connections you may have missed and improve your vault's linking density.
The Skill supports Portuguese and other content languages while applying LYT principles consistently. Vault analysis and MOC generation function across language boundaries.
You need Python, the requests dependency, and an Obsidian vault folder on your system. The quick start command is: python scripts/vault_analyzer.py /path/to/vault --detailed
framerslabRead, create, and manage notes, links, and metadata in Obsidian vaults.
adiman9Identify semantic connections between vault notes and update MOCs.
dapperdiversIndex Obsidian vault metadata into a SQLite database for structured note retrieval.
Imad-OuteAudits knowledge graph topology for link density, isolated nodes, MOC coverage, and cross-layer gaps.
