Parse scholarly papers into interlinked Obsidian knowledge with extracted memories.
npx skills add https://github.com/EESJGong/scholar-skill --skill scholarskill
Please help me install this Agent Skill. Skill: ScholarSkill Source: https://github.com/EESJGong/scholar-skill/tree/main/zh-CN Command: npx skills add https://github.com/EESJGong/scholar-skill --skill scholarskill
Bridges the gap between reading scholarly papers and building a durable, navigable knowledge base inside Obsidian, turning scattered notes into a structured, searchable memory system.
Install ScholarSkill, point it at your Obsidian vault, and run auto-configuration to initialize your workspace.
High-intent search queries and answers about installing and using this skill.
To convert scholarly papers into interlinked Obsidian knowledge, ScholarSkill parses PDFs and extracts semantic, episodic, and procedural memories to build structured notes and MOCs. It bridges reading and durable knowledge consolidation by creating bidirectional links across your vault.
Tracking arxiv papers and building a knowledge map in Obsidian is achieved by using the arxiv-watcher dependency alongside memory extraction. ScholarSkill monitors new papers, parses the content, and automatically generates bidirectional links and MOCs to connect new findings with existing notes.
Yes, you can extract memories from academic PDFs for long-term research. ScholarSkill performs L1/L2/L3 reading to extract deep semantic, episodic, and procedural memories, supporting ongoing knowledge consolidation and reflection workflows for auditable understanding.
ScholarSkill requires an Obsidian vault initialized through its auto-configuration process to create MOCs. It relies on obsidian-direct and obsidian-cli dependencies to manage the workspace, write durable notes, and establish bidirectional links directly within your existing environment.
To handle long-running PDF parsing tasks for academic reading, ScholarSkill optionally utilizes the durable-task-runner dependency. This component manages extended background workflows, ensuring deep L3 reading and memory extraction processes complete without timing out.
ScholarSkill offers specialized memory extraction and cross-paper connection workflows that standard Obsidian knowledge management plugins lack. It integrates arxiv monitoring, structured L1/L2/L3 reading, and automated MOC creation to maintain an evolving, auditable research knowledge base.
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