Generate prerequisite learning paths from arXiv papers or PDFs.
npx skills add https://github.com/CRDong233/academic_helper --skill paper-compass
Please help me install this Agent Skill. Skill: paper-compass Source: https://github.com/CRDong233/academic_helper/tree/main/skills/paper-compass/paper-compass Command: npx skills add https://github.com/CRDong233/academic_helper --skill paper-compass
This tool helps users build actionable prerequisite learning paths before reading an academic paper, ensuring they anchor evidence, rank concepts by difficulty, and identify relevant resources upfront.
Provide an arXiv ID, link, or PDF and your language preference to generate a learning path.
High-intent search queries and answers about installing and using this skill.
To generate a prerequisite learning path for an academic paper, provide an arXiv ID, link, or PDF. The system extracts key concepts with evidence anchors, orders them by dependency from foundation to paper-specific, and recommends targeted resources.
Mapping extracted concepts to specific paper sections involves using evidence anchors. The tool attaches short quotes from the text as anchors for each must-learn concept, ensuring you can trace learning topics directly back to the relevant academic paper sections.
Yes, you can use an arXiv link, ID, or PDF to create a tailored study plan before reading. The system processes the input to generate a personalized learning path that ranks concepts by difficulty and identifies relevant resources upfront.
Ranking concepts by foundation, bridge, and paper-specific levels structures your prerequisite learning path sequentially. This dependency-based ordering ensures you build necessary background knowledge incrementally before tackling the paper-specific concepts within the academic text.
Yes, the generated learning plan includes external resource recommendations for each must-learn concept. It suggests relevant academic papers and videos, providing targeted materials to help you build the required foundational knowledge before reading.
Automated concept extraction for academic writing preparation relies on evidence anchors from the provided text. Limitations include potential gaps in capturing implicit domain knowledge or nuanced theoretical frameworks that require external context beyond the submitted paper's explicit content.
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