nature-polishing

Yuan1z0825/nature-skills · Agent Skill

將學術文字改進為Nature風格的英語,保留事實和術語。協助編輯、翻譯和LaTeX格式設定。

前往安裝 ↓

總覽

發布者Yuan1z0825社群
儲存庫Yuan1z0825/nature-skills ↗
技能資料夾nature-polishing
星39,583
附帶檔案2
授權Apache-2.0
最近更新2026年9月5日
連結技能原始碼 ↗ · 儲存庫 ↗

Mozgi 檢查

我們在技能檔案中發現的內容。詳細資訊需訂閱。

安全性
低風險 · 未發現明顯風險 — 完整報告會顯示細節
相容性
僅含說明 — 適用於多數代理
相似技能
找到 133 個相似技能
訂閱另含

安裝

技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。

把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。

Install the “nature-polishing” skill from mozgi.io (https://mozgi.io/skills/nature-polishing/) for me.

1. Download the archive: https://mozgi.io/skills/nature-polishing/download
   If it fails, take the skill folder from the source: https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-polishing
2. Read SKILL.md and the other files. Check the skill is safe: no hidden commands, no sending data elsewhere, no scripts doing something other than described. If anything looks suspicious, stop and tell me.
3. Put the “nature-polishing” folder into your agent's skills folder: .claude/skills/ for Claude Code, .agents/skills/ for Codex, .cursor/skills/ for Cursor, .gemini/skills/ for Gemini CLI. Inside the project if we are in one, otherwise in the home folder (~/.claude/skills/ etc.).
4. Make sure <skills folder>/nature-polishing/SKILL.md exists.
5. Briefly tell me what this skill does and offer to try it on my task.

If you cannot do a step yourself, tell me what to click or type.

技能檔案

2 個檔案 下載 ZIP

安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。

SKILL.md 內容

作者原文 · 唯讀

Nature-Style Academic Polishing — Router

This skill is split into two layers:

  • A static layer under static/ that holds versioned, reusable content fragments (core principles, paper-type playbooks, per-section guidance, language-specific rules, per-journal style).
  • A dynamic layer (this file plus manifest.yaml) that detects the request's axes and loads only the fragments needed for the current job.

Do not try to apply the polishing logic from memory or from this router. Always load fragments from disk as described below.

Routing protocol

Follow these five steps every time the skill is invoked.

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.

When the job is a whole manuscript rather than a passage, or the text has already been through more than one round of editing, also load ../nature-shared/core/consistency-sweep.md. Polishing passage by passage cannot see accumulated drift: one experimental factor under several names, the same quantity in two units, a metric at two precisions, or a superlative the paper's own table contradicts. Sweep for those before working on sentences, and repeat the sweep until a pass finds nothing new.

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.

Why this split

  • The static layer is versioned and reviewable. Adding a new journal style or paper type is one new file plus one manifest line.
  • The dynamic layer keeps each invocation cheap: only the fragments relevant to this draft enter context, instead of the full 1000-line monolith.
  • The router itself is short on purpose. Update fragments, not this file, when adding scope.

常見問題

nature-polishing 技能有什麼用途?

將學術文字改進為Nature風格的英語,保留事實和術語。協助編輯、翻譯和LaTeX格式設定。

如何安裝 nature-polishing?

打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。

nature-polishing 適用哪些 AI 模型?

技能是純 Markdown 指示(Agent Skills 格式),因此 nature-polishing 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。

nature-polishing 是免費的嗎?

此技能由 Yuan1z0825 公開發布,採用 Apache-2.0 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。

安裝技能安全嗎?

技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。

技能和 MCP 伺服器或外掛有何不同?

MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。

相關技能

所有技能 →