study
study converts research papers into complete learning environments by extracting content, generating semantic tags, and building structured materials including summaries, insights, methodology breakdowns, and 15-question Q&A sets. It creates runnable code demonstrations and interactive HTML explorers to help you grasp core concepts, then organizes everything in a searchable paper library.
study transforms research papers into structured learning materials with summaries, Q&A, code demos, and interactive exploration.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-04-03
study transforms research papers into structured learning materials with summaries, Q&A, code demos, and interactive exploration. study converts research papers into complete learning environments by extracting content, generating semantic tags, and building structured materials including summaries, insights, methodology breakdowns, and 15-question Q&A sets. It creates runnable code demonstrations and interactive HTML explorers to help you grasp core concepts, then organizes everything in a searchable paper library.
Use it when
- study generates summaries, Q&A sets, and insights from academic PDFs.
- Yes.
Verify before relying
Read SKILL.md below before installing (4 files). Open directory: indexed for reading, not audited.
Install
alaliqing/claude-paper/study · repository language: Vue
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Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How do I understand a research paper using study?
study transforms research papers into complete learning environments. Upload your PDF and study extracts content, generates semantic tags, and builds structured materials including summaries, insights, and methodology breakdowns. You get 15-question Q&A sets, runnable code demonstrations, and interactive HTML explorers designed to help you grasp core concepts systematically.
What does study generate from academic PDFs?
study generates summaries, Q&A sets, and insights from academic PDFs. Beyond text extraction, it creates methodology analyses, code demonstrations based on paper techniques, and interactive explorers for research concepts. All materials organize into a searchable paper library so you can reference and build on what you've learned.
Can study help me create a study guide for research papers?
Yes. study builds reusable knowledge systems and study guides for papers. It structures learning materials with semantic tagging, generates comprehensive Q&A content, breaks down methodologies, and produces runnable code examples. These components combine into organized study guides you can reference, search, and extend as you deepen your understanding.
Does study analyze paper methodology and generate code?
study analyzes paper methodology and generates code demonstrations showing how techniques work in practice. It breaks down research approaches, extracts key algorithmic concepts, and creates executable examples. Combined with interactive explorers and structured summaries, this helps you move from theoretical understanding to practical application.
How does study help with deep learning from research papers?
study enables deep dives into academic papers through structured learning materials. It extracts and organizes content, generates semantic tags for navigation, creates 15-question Q&A sets for active recall, and builds interactive HTML explorers. This multi-layered approach—combining summaries, insights, code, and searchable organization—supports comprehensive paper comprehension.
What is study's license and how can I use it?
study is released under the MIT license, allowing free use, modification, and distribution for both personal and commercial projects. You can integrate study into your own applications, extend its functionality, and build on its learning environment features without licensing restrictions.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
Paper Study Workflow
Invoke this skill with a paper PDF path.
Language Detection: Detect the user's language from their input and generate ALL materials in that language. - Example: User says "我们学习一下这篇论文吧" → Generate materials in Chinese - Example: User says "Let's study this paper" → Generate materials in English
Core Philosophy
Primary Objective: Facilitate deep conceptual understanding and research-level thinking.
Secondary Objective: Create a structured, reusable paper knowledge system.
This workflow is not just for summarizing — it builds a learning environment around the paper.
Step 0: Check Dependencies (First Run Only)
```bash if [ ! -f "${CLAUDE_PLUGIN_ROOT}/.installed" ]; then echo "First run - installing dependencies..." cd "${CLAUDE_PLUGIN_ROOT}" npm install || exit 1
# Install Python dependencies for image extraction python3 -m pip install pymupdf --user 2>/dev/null || pip3 install pymupdf --user 2>/dev/null || echo
(truncated - see the full file via the links below)
File tree — 4 files
plugin/skills/study/SKILL.md
plugin/skills/study/scripts/download-pdf.cjs
plugin/skills/study/scripts/extract-images.py
plugin/skills/study/scripts/parse-pdf.js
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