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nature-polishing

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.

Install / Use

npx skills add Yuan1z0825/nature-skills --skill nature-polishing

Installs into whichever agent you are using.

About this skill
📄

SKILL.md

Installable skill definition

Quality Score

89/100

Supported Platforms

Universal

Tags

Our assessment of nature-polishing

nature-polishing scores 89/100 on our quality scale, 491st of 1,186 Content & Media skills we index (top 42%).

Its SKILL.md is 5.9 KB long, split into 7 sections and no code examples: a thorough specification that gives an agent plenty to work with.

With 44,346 GitHub stars, it is one of the more widely adopted skills in the catalogue.

Substance
29/30
Structure
11/20
Description
15/15
Adoption
20/20
Freshness
15/15

Maintenance, license and trust

  • The repository was last updated about 2 months ago, so nature-polishing is actively maintained.
  • Our last check on 2026-10-31 found the source still online.
  • It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
  • Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.

Safety scan

No issues found

Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.

AI review by kimi-k2.7-code on 2026-09-25. Automated pattern scan on 2026-09-25. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.

nature-polishing compared with similar skills

All 4 of these similar skills score higher than nature-polishing; compare them before choosing.

SkillScoreStarsUpdatedFormat
nature-polishing (this skill)by Yuan1z08258944.3k46d agoSKILL.md
siyuanby siyuan-note10047.1ktodayMCP Server
algorithmic-artby anthropics100177.9k47d agoSKILL.md
pptxby anthropics100177.9k47d agoSKILL.md
designby nextlevelbuilder100143.4k8d agoSKILL.md

Frequently asked questions

How do I install nature-polishing?
Run npx skills add Yuan1z0825/nature-skills --skill nature-polishing. The install tabs above show the steps for each supported agent.
Which AI agents does nature-polishing work with?
It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
Is nature-polishing safe to use?
Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
Is nature-polishing still maintained?
The repository was last updated about 2 months ago, so nature-polishing is actively maintained.

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. 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.

Related Skills

View on GitHub
GitHub Stars44.3k
CategoryContent
Updated1mo ago
Forks2.3k

Languages

Python

Trust signals

100/100

From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.

No cautions