Analyze Obsidian vault topology with Glob, Grep, and BFS algorithms.
npx skills add https://github.com/Zoomma1/get-your-life-together --skill map-zoomma1
Please help me install this Agent Skill. Skill: map Source: https://github.com/Zoomma1/get-your-life-together/tree/main/99%20-%20Claude%20Code/Skills/map Command: npx skills add https://github.com/Zoomma1/get-your-life-together --skill map-zoomma1
The Skill unit 'map' helps users identify and understand the topological structure of their vault, revealing clusters of ideas, dead zones, and critical structural weaknesses.
Use the /map skill to analyze the structure of your vault.
High-intent search queries and answers about installing and using this skill.
You can analyze vault topological structure by running algorithms like Glob, Grep, and BFS to identify clusters, dead zones, and critical links. This process requires access to your vault files and the Claude Code environment.
Dead zone identification highlights subjects prioritized in Claude Code but underrepresented in your vault. It maps these knowledge gaps so you can target missing content and resolve structural weaknesses.
Yes, unresolved link analysis identifies and categorizes broken connections, while topological mapping evaluates fragile bridges. This reveals critical structural weaknesses and highlights links needing further action.
Yes, cluster identification and health checks use Python for file analysis and processing. You must operate within the Claude Code environment with direct access to your vault files.
A vault health check evaluates the health of INDEX.md files and other components. It analyzes the topological structure to reveal clusters, dead zones, and critical structural weaknesses.
Topological mapping is the best way to map knowledge clusters, utilizing Glob, Grep, and BFS algorithms. It identifies clusters, dead zones, and critical links to reveal structural weaknesses.
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