Extract recurring concepts and definitions from vault notes using Python scripts.
npx skills add https://github.com/Jack5316/Obsidian --skill concept
Please help me install this Agent Skill. Skill: concept Source: https://github.com/Jack5316/Obsidian/tree/main/.claude/skills/concept Command: npx skills add https://github.com/Jack5316/Obsidian --skill concept
This Skill helps you identify and understand the core ideas, terms, and frameworks that you repeatedly encounter in your reading, making your knowledge base more cohesive and actionable.
Run the concept extraction to find recurring ideas across your recent notes.
High-intent search queries and answers about installing and using this skill.
To extract recurring concepts from your notes, you can run Python scripts that scan your vault to identify repeated themes and frameworks across multiple reading files. This surfaces repeated ideas for deeper understanding.
Identifying recurring frameworks across multiple notes is done by analyzing note content and concept frequency within your vault. The process highlights repeated themes and provides links back to the original notes.
Automatic concept definition generation works by using Python scripts to deterministically scan your vault reading notes. It identifies frequent ideas and generates concise 2-4 sentence definitions for each extracted concept.
Yes, you need Python scripts to find recurring themes in your research notes. The Skill requires these scripts for deterministic concept extraction and definition generation based on note content and frequency.
Yes, you can get links to the original notes where an extracted concept appears. Source linking is a core feature that connects the generated definitions directly back to the relevant notes in your vault.
Yes, this concept extraction tool works for general knowledge management tasks. It applies to research synthesis by surfacing repeated themes from your vault reading, making your knowledge base more cohesive and actionable.
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