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Nature Paper Xray skill

Read one supplied paper closely enough to reconstruct how its authors actually got there, rather than restating what the abstract claims. Use for 精读论文, 讲透这篇论文, 把这篇读懂, 作者为什么这么设计, 这个公式怎么推出来的, paper x-ray, and deep single-paper comprehension before building on, reviewing, presenting, or citing that paper. Recovers the real starting point and the bet the authors placed, separates load-bearing design from decoration, grou

$npx skills add Yuan1z0825/nature-skills --skill nature-paper-xray
View this skill on GitHubYuan1z0825/nature-skills/skills/nature-paper-xray/SKILL.md
Pack stars
53,060
Pack installs
301k
Alyn Score
81/99
Updated
23 h ago
License
Apache-2.0
– views – installs via Alyn

Install Nature Paper Xray

Pick your agent. Every command is ready to paste.

$npx skills add Yuan1z0825/nature-skills --skill nature-paper-xray

The open skills CLI detects your agents (Claude Code, Cursor, Codex and 70+ more) and installs to the right folder. Add -g to install globally.

01

Install it

Run the command above, or upload the folder in Claude.

02

Ask naturally

Describe the task. Your agent loads nature-paper-xray when the request matches its description.

03

Name it if needed

If it does not trigger, say “use the nature-paper-xray skill”. In Codex, type $nature-paper-xray.

The skill itself

SKILL.md

FolderGitHub

Nature Paper X-Ray

Read a paper the way a researcher explains it at a whiteboard to a colleague: what the authors saw, why they believed it, where they hesitated, what they gave up, and which numbers would change the conclusion.

The delivered artifact is a Markdown long-read. A section-by-section summary of the paper is a failure mode, not a fallback.

Default stance

  • The method section is a teaching order, not the order the work happened in. The introduction's story is arranged after the fact. The contribution list is written for reviewers.
  • The judgments that decided the paper — what the authors noticed, why they trusted it, what they abandoned — are mostly not written down. Recovering them is the job.
  • Every figure was chosen. Ask what the authors want a reader to believe from this one, then look for details inside it that do not support that reading.
  • A figure contains its own counter-evidence more often than the text does: a curve that crosses later, an error bar wider than the gap between compared methods, a log axis hiding a constant-factor difference, one seed standing in for a variance claim.
  • Name a mechanism or say the paper does not name one. Do not supply a motive the authors never stated.

Workflow

  1. Read the whole source first — body, appendix, footnotes, figure and table captions, and supplementary material if supplied. Appendices carry what the body declined to print: real hyperparameter search ranges, unflattering ablations, reviewer-response material. Record disagreements between the body and the appendix as findings.
  2. Reconstruct the research path. Name the concrete failure the work reacts to, and the bet the authors placed on their strongest evidence. The first figure usually carries that bet and deserves separate treatment.
  3. Separate load-bearing from decoration. For each distinctive design choice, judge whether removing it collapses the result or merely accompanies it. Cite the ablation, appendix table, or controlled comparison that settles it. When no such control exists, write that the paper does not run it.
  4. Ground the mathematics. Give every symbol its shape and meaning, state what a formula is for before stating the formula, and follow each key formula with a micro-example using concrete numbers carried to the end. See references/deep-reading-protocol.md.
  5. Check the evidence boundary. Agreement between body text, tables, and figures; whether baselines share data, steps, and tuning budget; whether hyperparameters were selected on the test set; preprocessing leakage; cost and the conditions under which the claim stops holding. See references/evidence-boundary.md.
  6. Preserve hedging strength. "May" is not "does", "suggests" is not "shows", "some settings" is not "all settings". Where the paper does not report something the conclusion needs, write that it is not reported. Never substitute a plausible number, an assumed default, or a value remembered from a similar paper.
  7. Deliver the long-read. Lead with what the paper is actually claiming, then the reconstructed path, the load-bearing judgment, the worked examples, and the evidence boundary. Close with what a reader should carry away and what remains open. State the scope read — body, appendix, supplementary, or a stated subset — and never imply fuller coverage than was achieved.

Paper-type adaptation

Reading emphasis shifts with the paper type. Load ../nature-shared/core/paper-type-taxonomy.md when the type is not obvious:

  • algorithmic — fair-comparison discipline dominates: are baselines tuned as hard as the proposal, and where does it fail?
  • methods — reproducibility dominates: would the protocol work in another lab, and what is left implicit?
  • hypothesis — the strength of the causal evidence dominates: does the evidence rule out the alternative explanation?
  • research — what was found, and how far the observation generalizes beyond the studied system.
  • review — how the field is organized, where sources disagree, and what remains open.

Boundaries

  • Reading sets no verdict. This skill reports what the paper does and how far its evidence reaches. It does not score, rank, or judge acceptance readiness, novelty, or significance — that is nature-reviewer.
  • It does not extract reusable writing patterns from a paper — that is nature-writing and its exemplar material.
  • It does not translate a paper or produce a bilingual reader — that is nature-reader.
  • It does not search the literature, verify citations, or cite sources on the paper's behalf — those are nature-academic-search, nature-citation, and nature-ref-verifier.
  • It does not draft manuscript prose. Use the reading as input to nature-writing when writing related work or positioning.

Output discipline

  • Write in the language the user is using. A Chinese request produces Chinese prose with English technical terms preserved exactly.
  • Quote the source only where an anchor requires it; do not reproduce the paper at length.
  • Formulas use $...$ inline and $$...$$ on their own line. Never place a formula in backticks or a code block.
  • A long paper is not a reason to degrade the output into a summary. If the reading is incomplete, say where it stopped.

Tips for Nature Paper Xray

  • • Start a fresh session after installing so your agent picks up the new skill.
  • • It bundles reference files. The agent reads them only when needed, so they cost no context until then.
  • • It is part of a pack with 24 skills. Install only the ones you need with --skill to keep triggers precise.
  • • If two skills overlap, mention the one you want by name.

Questions about Nature Paper Xray

What does the Nature Paper Xray skill do?

Read one supplied paper closely enough to reconstruct how its authors actually got there, rather than restating what the abstract claims. Use for 精读论文, 讲透这篇论文, 把这篇读懂, 作者为什么这么设计, 这个公式怎么推出来的, paper x-ray, and deep single-paper comprehension before building on, reviewing, presenting, or citing that paper. Recovers the real starting point and the bet the authors placed, separates load-bearing design from decoration, grou

How do I install Nature Paper Xray?

Run "npx skills add Yuan1z0825/nature-skills --skill nature-paper-xray" in your project. The skills CLI installs it for Claude Code, Cursor, Codex and 70+ other agents. In Claude on the web, upload the skill folder as a ZIP under Customize > Skills.

Does Nature Paper Xray work in Cursor and Codex?

Yes. Nature Paper Xray uses the open SKILL.md format, so it works in Claude Code, Claude, Cursor, OpenAI Codex, Gemini CLI, GitHub Copilot and other agents that support agent skills.

Is Nature Paper Xray free?

Nature Paper Xray is open source on GitHub under the Apache-2.0 license. It is free to install; check the license before commercial use.

Who made Nature Paper Xray?

Nature Paper Xray is published by Yuan1z0825 in the Yuan1z0825/nature-skills repository, together with 23 other skills.

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