nature-polishing

Yuan1z0825/nature-skills · Agent Skill

Migliora i testi accademici in inglese in stile Nature, preservando fatti e terminologia. Aiuta con l'editing, la traduzione e la formattazione LaTeX.

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Panoramica

AutoreYuan1z0825Community
RepositoryYuan1z0825/nature-skills ↗
Cartella dello skillnature-polishing
Stelle39.583
File inclusi2
LicenzaApache-2.0
Aggiornato5 settembre 2026
LinkSorgente dello skill ↗ · Repository ↗

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Compatibilità
solo istruzioni — funziona con la maggior parte degli agenti
Skill simili
133 skill simili trovati
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Installazione

Uno skill è una cartella con un file SKILL.md. Scegli il tuo agente ed esegui i comandi in un terminale (macOS, Linux o Git Bash su Windows) dalla radice del progetto.

Incolla il prompt in Claude, Codex o un altro assistente: controllerà lo skill e lo installerà.

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.

File dello skill

2 file Scarica ZIP

Leggi SKILL.md e i file correlati prima di installare. Clicca un file per l'anteprima.

Contenuto di SKILL.md

Testo originale dell'autore · sola lettura

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.

Domande frequenti

Che cosa fa lo skill nature-polishing?

Migliora i testi accademici in inglese in stile Nature, preservando fatti e terminologia. Aiuta con l'editing, la traduzione e la formattazione LaTeX.

Come si installa nature-polishing?

Apri il blocco “Installazione” in questa pagina e scegli il tuo agente — Claude Code, Codex, Cursor o Gemini CLI — per i comandi pronti che copiano la cartella dello skill nel posto giusto. Oppure copia il prompt dalla scheda “Con l'assistente” e lascia che sia l'assistente a controllare e installare lo skill.

Con quali modelli AI funziona nature-polishing?

Gli skill sono semplici istruzioni in Markdown (formato Agent Skills), quindi nature-polishing funziona con qualsiasi agente che legge SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode e altri. Il modello carica le istruzioni solo quando il compito corrisponde alla descrizione dello skill.

nature-polishing è gratuito?

Lo skill è pubblicato apertamente da Yuan1z0825 con licenza Apache-2.0. Lo skill in sé non costa nulla: paghi solo il tuo fornitore AI per i token usati.

È sicuro installare gli skill?

Uno skill è un insieme di istruzioni che il tuo agente seguirà: leggi SKILL.md e i file correlati prima di installarlo. Gli script nella cartella dello skill vengono eseguiti solo se li esegue l'agente: controlla cosa fa e non concedere permessi superflui.

In cosa differisce uno skill da un server MCP o da un plugin?

Un server MCP o un plugin danno al modello nuovi strumenti: codice che viene eseguito e restituisce un risultato. Uno skill fornisce conoscenza e metodo: come affrontare il compito, quali passi seguire e com'è un buon risultato. Non servono server né chiavi API.

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