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/nature-polishing

Polish, restructure, or translate academic prose into concise Nature-leaning English while preserving facts, evidence boundaries, terminology, and citation intent. Use for manuscript paragraphs, abstracts, introductions, Results, discussions, conclusions, titles, Methods,

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nature-skills
41k20 skills
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$ npx -y skills add Yuan1z0825/nature-skills --skill nature-polishing --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/nature-polishing

Context preview

The summary Claude sees to decide when to auto-load this skill.

Polish, restructure, or translate academic prose into concise Nature-leaning English while preserving facts, evidence boundaries, terminology, and citation intent. Use for manuscript paragraphs, abstracts, introductions, Results, discussions, conclusions, titles, Methods,

SKILL.md

nature-polishing.SKILL.md
name: nature-polishing
description: Polish, translate, or tighten existing academic prose while preserving facts, terminology, and evidence boundaries. Use for 论文润色、学术翻译、正文精简, or manuscript LaTeX layout fixes. Use nature-writing when the main task is drafting new sections or rebuilding the manuscript argument.

Nature-Style Academic Polishing — Router

Routing protocol

For a new polishing task, follow the routing below. For follow-up edits, reuse established task choices and already loaded guidance; read additional fragments only when the requested scope changes.

1. Load the manifest and the core layer

Read [manifest.yaml](manifest.yaml). It declares the axes (`paper_type`, `section`, `language`, `journal`), the allowed values, and the file paths each value maps to.

Also read every file listed under `always_load`. These hold the default stance, failure-mode diagnosis, ethics, and output format that apply to every polish job.

2. Detect the axis values for this request

For each axis in the manifest, decide the value using the manifest's `detect:` hint and the user's input:

  • `paper_type` — research / methods / hypothesis / algorithmic / review. Default: research.
  • `section` — abstract / intro / results / discussion / conclusion / title / methods. May be multiple. Ask the user if it is ambiguous and matters for the polish.
  • `language` — en or zh-to-en. Detect from the draft itself.
  • `journal` — nature / nat-comms / nat-mach-intell / generic. Default:

generic. Use `nature` only for flagship Nature, `nat-comms` for Nature Communications and `nat-mach-intell` for Nature Machine Intelligence (NMI). Do not route another Nature Portfolio title through flagship Nature rules.

State the detected axis values in one short line to the user before proceeding, so they can correct you cheaply. This is a progress update, not an approval gate; continue unless a necessary decision remains unresolved.

3. Load the matching fragments

For each axis value, Read the file mapped in the manifest. Skip the `section` axis only if the user has supplied free-floating prose with no section context.

Do **not** read every fragment in `static/`. Load only what step 2 selected.

4. Polish using the loaded material

Apply the loaded fragments in this priority order, matching the `paper type -> section job -> paragraph logic -> claim/evidence/boundary -> sentence polish` rule from `core/failure-modes.md`:

1. Paper-type playbook (architecture, writing order). 2. Section-specific job and failure modes. 3. Journal-specific framing and constraints. 4. Language-specific sentence and paragraph rules (apply last). 5. Core stance and ethics throughout.

If a paragraph's structural problem cannot be fixed without inventing content, flag it instead of papering over it.

For Results, full-main-text compression, main-versus-SI allocation, or prose added during revision, load `../nature-shared/core/main-text-discipline.md` before sentence polishing. Classify each result, retain the shortest sufficient evidence chain, and require every addition to trigger a deletion or replacement check across the affected paragraph.

For flagship Nature, Nature Communications, Nature Machine Intelligence, or another Nature Portfolio title, load the matching shared Nature-style corpus guidance:

  • Results or Discussion →

`../nature-shared/core/nature-results-discussion.md`

  • Introduction or whole-manuscript narrative →

`../nature-shared/core/nature-introduction.md`

  • Abstract → `../nature-shared/core/nature-abstract.md`

Preserve claim escalation, the fast question funnel, Introduction–Results alignment, discovery-centred abstract compression, evidence-bound local interpretation, and cross-Results synthesis. These defaults were initially distilled from published NMI papers; treat them as corpus-derived guidance, not official policy, and obey the target journal's current rules when they differ.

For any Discussion polish or restructuring job, also load `../nature-shared/core/discussion-argument-language.md`. Use its function labels to remove Results replay, repair the movement from specific findings to bounded implications, calibrate modal and reporting verbs to evidence strength, and make limitations and future work resolve named claim boundaries. Treat it as general writing guidance, not journal policy.

5. Reach for references only when needed

The files under `references/` are deep references, not defaults. Open them on demand per the `references.on_demand` table in the manifest, for example when the user explicitly asks for phrasebank-style alternatives or a stricter style audit.

When the target is Nature Machine Intelligence and exact limits, availability sections, conference-extension disclosure or production checks affect the revision, load `../nature-shared/journal-formats/nature-machine-intelligence.md`.

For a whole-manuscript consistency audit or evidence of drift across passages, load `../nature-shared/core/consistency-sweep.md`. Local follow-up edits require checking the affected terms, numbers, and claims, not restarting a full audit solely because this is another editing round. After corrections, recheck affected occurrences and dependent claims; broaden the sweep when new discrepancies warrant it.

**Layout/typesetting (排版) requests are different.** If the user asks to fix *placement* rather than wording — loose/sparse pages, stranded headings, figures that don't fill the page or split across pages, "Float too large", multi-panel arrangement, sparse Supplementary Information — skip the prose axes (paper_type, section, language, journal) and load `references/latex-layout.md` directly. That file is self-contained: it carries the diagnosis workflow (render → contact-sheet → read the log), the float-glue and `[H]`/`\clearpage`/`placeins` patterns, and the "regenerate wide figures taller at the source" rule. Always compile and visually inspect rendered pages before and after — never judge

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