paper-reading-assistant
AI-assisted paper reading, PDF Q&A, and summarization workflows
Profile →npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill paper-reading-assistant --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Paper Reading Assistant Systematic workflows for reading, annotating, and extracting insights from academic papers, including AI-assisted summarization and critical analysis techniques. ## The Three-Pass Reading Method Srinivasan Keshav's three-pass approach provides a structured way to read papers at increasing depth: ### Pass 1: Survey (5-10 minutes) Read only: 1. Title, abstract, and keywords 2. Introduction (first and last paragraph only) 3. Section headings (all of them) 4. Conclusion 5. Glance at figures and tables (read captions) 6. Check the reference list for familiar papers After Pass 1, you should know: - **Category**: Is this an empirical study, theoretical contribution, system paper, survey? - **Context**: What related work does it build on? - **Correctness**: Do the assumptions and claims seem reasonable? - **Contributions**: What are the main claimed contributions? - **Clarity**: Is the paper well-written? **Decision**: Stop here if the paper is not relevant, or continue to Pass 2. ### Pass 2: Comprehension (30-60 minutes) Read the full paper, but skip proofs and complex derivations: 1. Examine figures and tables carefully 2. Mark unread references for later 3. Ann
- The Three-Pass Reading Method
- Pass 1: Survey (5-10 minutes)
- Pass 2: Comprehension (30-60 minutes)
- Pass 3: Recreation (1-4 hours)
- Structured Note-Taking Template
- AI-Assisted Paper Analysis
- Summarization Prompts
- PDF Processing Pipeline
- Batch Paper Processing
- Annotation Tools Comparison
- Reading Strategies by Paper Type
- Building a Paper Reading Habit
What does the paper-reading-assistant skill do?
AI-assisted paper reading, PDF Q&A, and summarization workflows
How do I install it?
Run `npx skills add brycewang-stanford/Auto-Empirical-Research-Skills --skill paper-reading-assistant --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From brycewang-stanford/Auto-Empirical-Research-Skills, a repository with 3,244 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.