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nature-writing

根据作者提供的研究证据起草英文科学论文各部分和首次投稿材料,梳理论点与结果、调整论证结构,并按论文类型和目标期刊压缩正文。

原文查看原文说明

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.

实测评分 未实测

查看安装方法

适用场景

  • 根据研究笔记起草摘要或引言
  • 重组结果与讨论的论证
  • 压缩正文并整理补充说明
  • 准备首次投稿材料

中文介绍

功能

nature-writing 根据作者提供的研究证据,起草英文科学论文的各个部分和首次投稿材料。它可以按照需求组织摘要、引言、方法或讨论中的论点及其证据,也能根据论文类型和目标期刊调整结构、压缩正文,并协助安排哪些信息放在正文、图注或补充材料中。

适用场景

已有研究结果或笔记,却还不确定如何组织成论文时,可以使用此技能。它适用于将英文资料或中文笔记整理成英文初稿,也适用于梳理首次投稿所需的材料并找出尚缺的信息。

使用示例

  • “请根据这些研究结果起草英文摘要和引言。”
  • “请梳理 Results 部分的论证,并建议哪些说明可以移到补充材料。”
  • “请准备首次投稿材料,并列出目前缺少的信息。”

注意事项

证据或研究边界不足时,此技能会使用占位内容并列出缺失信息,不会自行编造。Nature 风格写作指南不是官方规定,应以目标期刊现行规则为准。只修改现有文字表达时使用 nature-polishing;处理同行评审后的回复时使用 nature-response。

本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。

文档检查

AI 根据 SKILL.md 的内容检查了需要注意的操作和使用前提。评分只依据实际运行的结果(实测对比)。

安全性发送数据、删除文件、执行命令等是否有说明
A良好明确要求不得编造证据,并将缺失内容标为待补信息。
安装难易度所需工具和 API 密钥是否少且有说明
A良好所给说明未列出必需的外部工具、凭据或付费服务。

不计入评分。 由 AI(OpenAI Codex)于 2026年10月24日 评估。仅供参考,安装前请同时查看原文。

如果您认为评估有误,请申请复核

请写明哪一项有误以及原因。无需登录。我们会对照 SKILL.md 重新评估,并在此处更新结果。

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包含的文件(77)

  • SKILL.md8.1 KB
  • agents/openai.yaml253 B
  • manifest.yaml8.5 KB
  • README_EN.md4.9 KB
  • README.md4.3 KB
  • references/abstract.md4.0 KB
  • references/article-architecture.md3.4 KB
  • references/chinese-author-workflow.md1.8 KB
  • references/conclusion.md1.2 KB
  • references/examples/abstract-examples.md875 B
  • references/examples/abstract/template-a.md950 B
  • references/examples/abstract/template-b.md3.2 KB
  • references/examples/abstract/template-c.md1.7 KB
  • references/examples/index.md2.3 KB
  • references/examples/introduction-examples.md1.5 KB
  • references/examples/introduction/novel-task-challenge-decomposition.md1.5 KB
  • references/examples/introduction/pipeline-not-recommended-abstract-only.md2.9 KB
  • references/examples/introduction/pipeline-version-1-one-contribution-multi-advantages.md2.0 KB
  • references/examples/introduction/pipeline-version-2-two-contributions.md2.0 KB
  • references/examples/introduction/pipeline-version-3-new-module-on-existing-pipeline.md1.5 KB
  • references/examples/introduction/pipeline-version-4-observation-driven.md1.4 KB
  • references/examples/introduction/technical-challenge-version-1-existing-task.md2.6 KB
  • references/examples/introduction/technical-challenge-version-2-existing-task-insight-backed-by-traditional.md3.8 KB
  • references/examples/introduction/technical-challenge-version-3-novel-task.md1.6 KB
  • references/examples/introduction/version-1-task-then-application.md727 B
  • references/examples/introduction/version-2-application-first.md405 B
  • references/examples/introduction/version-3-general-to-specific-setting.md847 B
  • references/examples/introduction/version-4-open-with-challenge.md1.7 KB
  • references/examples/method-examples.md1.0 KB
  • references/examples/method/example-of-the-three-elements.md7.3 KB
  • references/examples/method/method-writing-common-issues-note.md355 B
  • references/examples/method/module-design-instant-ngp.md4.5 KB
  • references/examples/method/module-motivation-patterns.md410 B
  • references/examples/method/module-triad-neural-body.md763 B
  • references/examples/method/neural-body-annotated-figure-text.md2.8 KB
  • references/examples/method/overview-template.md2.0 KB
  • references/examples/method/pre-writing-questions.md479 B
  • references/examples/method/section-skeleton.md110 B
  • references/experiments.md4.7 KB
  • references/introduction.md15.3 KB
  • references/method.md6.9 KB
  • references/nat-comms-2025-corpus.md7.3 KB
  • references/nature-summary-paragraph.md10.3 KB
  • references/paper-review.md5.3 KB
  • references/paragraph-flow.md1.7 KB
  • references/related-work.md1.3 KB
  • references/submission-package.md7.9 KB
  • static/core/output-format.md1.8 KB
  • static/core/stance.md2.2 KB
  • static/core/workflow.md5.1 KB
  • static/fragments/journal/generic.md1.1 KB
  • static/fragments/journal/nat-comms.md3.1 KB
  • static/fragments/journal/nat-mach-intell.md5.9 KB
  • static/fragments/journal/nature-family.md1.2 KB
  • static/fragments/journal/nature.md2.7 KB
  • static/fragments/language/en.md1.0 KB
  • static/fragments/language/zh-to-en.md1.6 KB
  • static/fragments/paper_type/algorithmic.md1.2 KB
  • static/fragments/paper_type/hypothesis.md1.0 KB
  • static/fragments/paper_type/methods.md1.2 KB
  • static/fragments/paper_type/research.md1.3 KB
  • static/fragments/paper_type/review.md1.2 KB
  • static/fragments/section/abstract.md1.7 KB
  • static/fragments/section/conclusion.md929 B
  • static/fragments/section/discussion.md1.8 KB
  • static/fragments/section/experiments.md3.0 KB
  • static/fragments/section/intro.md2.6 KB
  • static/fragments/section/method.md1.5 KB
  • static/fragments/section/related-work.md1.2 KB
  • static/fragments/section/title.md999 B
  • static/fragments/task/manuscript.md288 B
  • static/fragments/task/submission-package.md2.5 KB
  • templates/submission/declarations-and-reviewers.tex2.6 KB
  • templates/submission/highlights-and-summary.tex1.1 KB
  • templates/submission/initial-cover-letter.tex1.6 KB
  • templates/submission/title-page.tex1.9 KB
  • tests/scoped-drafting.md1.9 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

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. 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 → ../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

Use these files for claim escalation, question-chain alignment, discovery-centred compression, and synthesis. They were initially distilled from published NMI papers and generalized as Nature-style defaults; do not present them as official policy, and let the target journal's current rules override them.

For any Discussion drafting, restructuring, or section audit, also load ../nature-shared/core/discussion-argument-language.md. Use it to select the opening anchor, control the reverse-funnel expansion, distinguish literature positioning from citation decoration, calibrate modal strength to evidence, and turn limitations and future work into claim-specific reasoning. This is general writing guidance rather than an official journal rule.

For task=submission-package, follow static/fragments/task/submission-package.md and references/submission-package.md instead. Build the deliverable matrix and readiness audit; do not force manuscript paragraph architecture onto administrative submission materials.

If essential evidence or boundary is missing, write a placeholder and list it under Assumptions or missing inputs: instead of inventing content.

5. Reach for references only when needed

The files under references/ are deep references and the example library, not defaults. Open them on demand per the references.on_demand table in the manifest. Typical triggers:

  • The user asks for a concrete example or template → references/examples/index.md.
  • A section's draft has structural problems that the section fragment alone does not explain → the matching references/<section>.md.
  • The user needs a broad-audience Nature abstract opening or asks about a summary paragraph → references/nature-summary-paragraph.md.
  • The user asks "does this paragraph flow?" → references/paragraph-flow.md.
  • The user asks for a self-review or rejection-risk audit → references/paper-review.md.
  • The user asks what belongs in the main text, captions, or SI; wants a shorter Results section; or is adding reviewer-driven explanation → ../nature-shared/core/main-text-discipline.md.
  • The user requests a complete first-submission package, templates, or a submission-readiness audit → references/submission-package.md.
  • The target is the flagship journal Nature and exact submission or formatting requirements matter → ../nature-shared/journal-formats/nature.md.
  • The target is Nature Machine Intelligence and exact content-type, submission, data/code or production requirements matter → ../nature-shared/journal-formats/nature-machine-intelligence.md.
  • Any Nature / Nature Portfolio target needs Results claim progression, evidence-bound interpretation, robustness placement, or Discussion synthesis → ../nature-shared/core/nature-results-discussion.md.
  • Any target needs a Discussion function chain, evidence-calibrated modal language, claim-specific limitations, non-redundant literature positioning, or uncertainty-driven future work → ../nature-shared/core/discussion-argument-language.md.
  • Any Nature / Nature Portfolio target needs an Introduction funnel, exact gap, literature logic, question-first novelty, study roadmap, or alignment with Results → ../nature-shared/core/nature-introduction.md.
  • Any Nature / Nature Portfolio target needs abstract evidence-chain, main/supporting-claim, numeric-result, or final-payoff decisions → ../nature-shared/core/nature-abstract.md.
  • The work involves regulated or specialist research compliance → ../nature-shared/core/research-compliance.md.

Submission boundary

  • nature-writing owns initial submission materials prepared before peer review.
  • nature-response owns revision cover letters, rebuttals, point-by-point responses, marked manuscripts, appeals, and other post-decision correspondence.
  • Route graphical abstracts and TOC graphics to nature-figure; route simulated pre-submission peer review to nature-reviewer.

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