nature-polishing — Claude skill: academic prose editing
A skill that polishes, translates and tightens existing academic prose. Facts, terminology and evidence boundaries stay intact.
npx skills add Yuan1z0825/nature-skills --skill nature-polishing -a claude-codeWhat nature-polishing does
nature-polishing edits text you already have. It cleans up phrasing, translates Chinese drafts into English, cuts padding and fixes LaTeX layout. Claims keep the strength they had.
The skill runs as a router. It reads manifest.yaml for the axes paper_type, section, language and journal, then loads only the fragments that match. Separate layers cover Results, Introduction, Abstract and Discussion, with corpus-derived guidance for Nature, Nature Communications and Nature Machine Intelligence. Layout work is a separate branch: for stranded headings, figures that split across pages or "Float too large", it goes straight to references/latex-layout.md and skips the prose axes.
Worth installing once your manuscript reads as a coherent draft and you want it shaped for a journal. If the job is drafting new sections or rebuilding the argument, the same repository ships nature-writing for that. Layout fixes require compiling the document and looking at rendered pages — the .tex alone won't tell you what went wrong.
What it helps with
- shape a finished manuscript for journal style
- translate a Chinese draft into English without losing terminology
- compress the main text while keeping the evidence chain
- fix LaTeX layout: floats, page breaks, "Float too large"
- check that claim wording matches evidence strength
Example prompts for the agent
- polish the abstract of this paper for Nature Communications
- tighten the Results section, keep every number and fact
- translate the introduction from Chinese to English, keep the terminology
How to install nature-polishing
1Skills CLI (Vercel)
npx skills add Yuan1z0825/nature-skills --skill nature-polishing -a claude-code2Manually: put the files in place
~/.claude/skills/nature-polishing/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/nature-polishing/
1Skills CLI (Vercel)
npx skills add Yuan1z0825/nature-skills --skill nature-polishing -a codex2Manually: put the files in place
.agents/skills/nature-polishing/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add Yuan1z0825/nature-skills --skill nature-polishing -a cursor2Manually: put the files in place
.cursor/skills/nature-polishing/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install Yuan1z0825/nature-skills nature-polishing2Manually: put the files in place
.github/skills/nature-polishing/SKILL.md1Skills CLI (Vercel)
npx skills add Yuan1z0825/nature-skills --skill nature-polishing -a gemini-cli2Platform CLI
gemini skills install https://github.com/Yuan1z0825/nature-skills --path skills/nature-polishingManually: put the files in place
.devin/skills/nature-polishing/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add Yuan1z0825/nature-skills --skill nature-polishing -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
From the same set17
The whole set →Similar
Questions about nature-polishing
How do I install nature-polishing in Claude?
Run npx skills add Yuan1z0825/nature-skills --skill nature-polishing -a claude-code. The skill file then lives at ~/.claude/skills/nature-polishing/SKILL.md.
What does nature-polishing do?
It polishes, translates and tightens existing academic prose while preserving facts, terminology and evidence boundaries. It also handles LaTeX layout requests.
How is nature-polishing different from nature-writing?
nature-polishing works on text that already exists. nature-writing is for drafting new sections or rebuilding the manuscript argument.
Which journals does it cover?
There are layers for Nature, Nature Communications and Nature Machine Intelligence, plus a generic mode. Other Nature Portfolio titles route through the generic rules rather than the flagship ones.
Source text
SKILL.md · Apache-2.0
--- 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 layout from the `.tex` alone.
© Yuan1z0825 · Apache-2.0 · Yuan1z0825/nature-skills