Integrate domain vocabulary with paper citation trees for unified learning pathways.
npx skills add https://github.com/devkade/1d1s --skill deep-dive
Please help me install this Agent Skill. Skill: deep-dive Source: https://github.com/devkade/1d1s/tree/main/plugins/learning-tools/skills/deep-dive Command: npx skills add https://github.com/devkade/1d1s --skill deep-dive
This Skill enables learners to study domain concepts together with their research origins, merging vocabulary mastery with lineage context to foster deeper understanding.
Ask the AI to start a deep-dive into a domain, for example "deep dive into reinforcement learning" to trigger the full workflow.
High-intent search queries and answers about installing and using this skill.
To map research genealogy, you discover anchor concepts and build citation trees to produce a unified learning pathway. This approach merges vocabulary mastery with lineage context to show how ideas evolved.
A knowledge map connects domain concepts with their research origins. You derive anchor vocabulary and trace foundational papers to establish a connected view of how ideas evolved within the field.
Yes, integrating domain concept vocabulary with paper genealogy provides a unified learning pathway. This method applies to domains where you want both concept mastery and an understanding of how ideas evolved.
Initiate a deep dive by prompting the AI with a command like 'deep dive into reinforcement learning.' This triggers a phase-driven workflow that extracts vocabulary and constructs citation trees.
No external dependencies are required. The Skill uses a references component to merge domain-vocab and paper-flow, enabling you to discover anchor concepts and build citation trees without additional setup.
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