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paper-reading

Reads and analyzes academic papers (arXiv preprints, conference / journal PDFs, Zotero items) at three configurable depths: quick skim (2 min), standard read (10 min), or deep analysis (30 min). Produces structured digests covering problem, method, key innovation, results, limitations, reproducibility, hidden assumptions, and connections to the user's other work. Use when the user shares an arXiv link, PDF, or paper title and asks to read / summarize / digest / TL;DR / analyze / review / critique / explain / break down a paper, asks about a paper's contributions / methods / results / equations / figures, wants to compare two papers side by side, or needs a reading note for their records.

jxtse/scientific-research-skills

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SKILL.md（原文）

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Paper Reading

Structured workflow for reading academic papers efficiently.

When to Use

User shares an arXiv link or PDF and asks to read/summarize it
User asks about a specific paper's contributions, methods, or results
User wants a reading digest for their records
User asks to compare a paper against related work

Reading Levels

Level 1: Quick Skim (2 min)

When: User just wants to know if a paper is worth reading

Output:

Paper title, authors, venue, year
One-paragraph summary (what problem, what method, what result)
Key contribution in one sentence
Relevance assessment to user's work
Recommendation: Read / Skip / Skim only

Level 2: Standard Read (10 min)

When: User wants to understand the paper's approach

Output:

Problem: What gap does this address?
Method: How do they solve it? (with key technical details)
Key innovation: What's genuinely new vs. incremental?
Results: Main numbers + comparison to baselines
Limitations: What they don't do, acknowledged or not
Connections: How does this relate to user's active projects?

Level 3: Deep Analysis (30 min)

When: User is seriously considering building on this paper

Output:

Everything from Level 2, plus:
Detailed methodology: Step-by-step technical walkthrough
Reproducibility assessment: Can you implement this from the paper alone?
Experimental design critique: Are the baselines fair? Metrics appropriate?
Hidden assumptions: What are they not saying?
Extension opportunities: How could this be improved or adapted?
Key equations/algorithms: Extracted and explained
Figure analysis: What do the key figures actually show?

Workflow

Step 1: Obtain Paper

arXiv link → Download PDF, extract text
PDF file → Extract text directly
Paper title → Search Semantic Scholar → get arXiv link → download
Zotero item → Get from local library

Step 2: Read at Requested Level

Follow the appropriate level template above. When in doubt, start with Level 2.

Step 3: Store Digest

After reading, save the digest:

Store structured summary to local dashboard
If user confirms, add/update Zotero entry with notes

Step 4: Connect to Context

Link to user's active projects if relevant
Suggest follow-up papers (from references or "cited by")
Note if this paper supports or contradicts prior reads

Reading Heuristics

For ML/AI papers:

Jump to Table 1 (main results) first — if the numbers aren't impressive, calibrate expectations
Check the ablation study — it reveals what actually matters in their method
Read the limitations/future work section — often more honest than the intro
Look at Appendix — important details are often buried there

For methods papers:

Focus on Figure 1 (method overview) + Section 3 (method) + Table 1 (results)
Skip related work on first pass — come back only if you need positioning context

For empirical papers:

Focus on experimental setup, metrics, and statistical significance
Check if baselines are fairly implemented (same hyperparameter search budget?)
Look for cherry-picked examples in qualitative analysis

Paper Comparison Mode

When user asks to compare two papers:

| Aspect       | Paper A          | Paper B          |
|--------------|------------------|------------------|
| Problem      |                  |                  |
| Method       |                  |                  |
| Data         |                  |                  |
| Key metric   |                  |                  |
| Advantage    |                  |                  |
| Limitation   |                  |                  |

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日本語の概要は準備中です。原文の説明を表示しています。