Skill detail

nature-writing

Drafts or restructures scientific manuscript sections and first-submission materials from author-provided evidence, with paper-type, section, and journal-specific rules.

Why we recommend it: Drafts and restructures scientific manuscript arguments, sections, and submission materials from author-provided evidence — core academic prose work.

MatchDirectRecommended for Academic Writing
Sourceyuan1z0825/​nature-skillsExternal source
Reported installs13,796Popularity signal only

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SKILL.md

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---
name: nature-writing
description: Draft or restructure scientific manuscript arguments, sections, and initial-submission materials from author-provided evidence. Use for 论文写作、章节起草、论证重构、正文压缩、首次投稿材料. Use nature-polishing for language-only edits to existing prose and nature-response for post-decision correspondence.
---

# Nature-Style Scientific Writing — Router

## Routing protocol

For a new drafting 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](manifest.yaml). It declares the axes (`task`, `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, writing workflow, and output format that apply to every drafting 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:

- `task` — manuscript / submission-package. Use `submission-package` for first-submission materials, never for revision correspondence.
- `paper_type` — research / methods / hypothesis / algorithmic / review. Default: research.
- `section` — abstract / intro / related-work / method / experiments / discussion / conclusion / title. May be multiple. Ask the user if it is ambiguous and matters for the draft.
- `language` — en or zh-to-en. Detect from the user's notes themselves.
- `journal` — nature / nature-family / nat-comms / nat-mach-intell / generic.
  Default: generic. Use `nature` only for the flagship journal Nature,
  `nat-comms` for Nature Communications, `nat-mach-intell` for Nature Machine
  Intelligence (NMI), and `nature-family` for other Nature Portfolio titles or
  an unspecified Nature-family request.

State the detected axis values in one short line to the user before drafting, 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 when the task is `submission-package` or when the user explicitly asks for a free-floating argument paragraph with no section context.

Do **not** read every fragment in `static/`. Load only what step 2 selected.

### 4. Draft using the loaded material

Apply the loaded fragments in this priority order:

1. Core stance + intake (`core/stance.md`) — surface missing claim / evidence / boundary before drafting.
2. Paper-type playbook — argument chain, drafting order.
3. Section-specific drafting rules and structure.
4. Task-specific submission rules when `task=submission-package`.
5. Journal-specific framing and constraints.
6. Language-specific sentence and paragraph rules (apply last).

For `task=manuscript`, use `core/workflow.md` at the requested scale. Plan the argument for a new section or substantial restructuring; a title, single paragraph, or local follow-up needs only the applicable evidence, wording, and consistency checks. Complete the requested prose unless a material unresolved decision blocks it or the user requested an outline for approval first.

When drafting or restructuring Results, or compressing a full manuscript's main
text, also load `../nature-shared/core/main-text-discipline.md` before building
the paragraph map. Classify every result by function, allocate it across main
text, captions, Methods/source data, and SI, then draft the shortest sufficient
evidence chain. Do not equate a complete analysis record with a complete main
text.

When the target is flagship Nature, Nature Communications, Nature Machine
Intelligence, or another Nature Portfolio title, load the matching shared
Nature-style corpus guidance for the section being drafted:

- Results or Discussion →
  `../n
Read the full source on GitHub (opens external page)
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