Skills

Nature Polishing

Polish, restructure, or translate academic prose into Nature-leaning English using...

Install

npx skills add Galaxy-Dawn/claude-scholar --skill nature-polishing -g -a claude-code -y
Category
Writing
Updated
16d ago
License
MIT
Context cost
Mediumabout 3,000 tokens
Runs scripts
No, instructions only

What it does

Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English.

Nature-Style Academic Polishing

Use this skill to improve scientific writing at two levels:

  • main strategy: paper architecture, published-article patterns, section logic, reader workflow, evidence thresholds, and ethics
  • reference support: reusable phrase families, move patterns, transitions, and style checks

The main strategy should come from the course notes in Chapter1-Week1-7 and the curated article-pattern reference. The wording layer should come from Academic Phrasebank.

Default stance

  • Language serves argument. Do not polish sentences while leaving the reasoning broken.
  • Write with empathy for the reader: relevance first, then novelty, then trust, then reuse, then meaning.
  • There should be no mystery for the writer, but there may be one for the reader.
  • Do not invent data, references, mechanisms, or novelty claims.
  • Do not let AI draft the paper's core scientific argument from scratch.
  • If the draft is Chinese or structurally rough, reconstruct the logic first and the prose second.
  • Avoid em dashes in polished output by default. Prefer commas, parentheses, or full stops. Use colons sparingly unless the user explicitly asks to preserve dash-based punctuation or wants a colon-led style.

Mined writing memory

For academic prose, check the active installed skills/ml-paper-writing/references/knowledge/paper-miner-writing-memory.md under the current client's skill home. Use only source-attributed entries that fit the section and venue, alongside this skill's curated references. Treat them as optional style and structure examples. Preserve the author's claims and evidence, follow current journal instructions, and do not copy source phrasing. If the memory has no relevant entries, continue without it.

When to open extra files

These files are reference support. Use them after the section's rhetorical job is clear.

Read the whole SKILL.md on GitHub

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