# Nature Polishing

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

- Repository: https://github.com/Galaxy-Dawn/claude-scholar (5959 stars)
- Category: Writing
- License: MIT
- Last updated: 2026-10-19
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add Galaxy-Dawn/claude-scholar --skill nature-polishing -g -a claude-code -y`
Codex: `npx skills add Galaxy-Dawn/claude-scholar --skill nature-polishing -g -a codex -y`
Cursor: `npx skills add Galaxy-Dawn/claude-scholar --skill nature-polishing -g -a cursor -y`
Gemini CLI: `npx skills add Galaxy-Dawn/claude-scholar --skill nature-polishing -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add Galaxy-Dawn/claude-scholar`

## Description

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.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# 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.

The rest: https://github.com/Galaxy-Dawn/claude-scholar/blob/HEAD/skills/nature-polishing/SKILL.md