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nature-article-writer自然文章作家

Agent Skill

nature-article-writer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

312

周安装

13

GitHub Stars

公开资料未说明

下载量

104
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:nature-article-writer(自然文章作家)
来源仓库:https://github.com/tristanmanchester/agent-skills
仓库路径:skills/nature-article-writer
安装命令:
npx skills add https://github.com/tristanmanchester/agent-skills --skill nature-article-writer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/tristanmanchester/agent-skills --skill nature-article-writer

简介

用于查找、检索和筛选相关信息,支持自然主题文章的素材收集与整理。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词或任务场景获取候选结果。
  • 通过 npx 安装,需确认权限范围和维护状态,注意潜在的联网或文件访问行为。
  • 建议结合来源仓库和原始 README 核验具体功能与使用限制。
  • nature-article-writer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Nature Article Writer

Write and revise primary research manuscripts so they feel editorially mature: precise, proportionate, detailed where detail matters, and genuinely pleasurable for a scientist to read. Beautiful Nature-style prose is not ornate prose. It is clear, load-bearing prose with strong logic, good sentence movement, and no wasted claims.

This skill optimises for editorial quality, reader trust, and human-sounding scientific prose. It does not optimise for AI-detector evasion.

Do not imitate a named living author. Emulate journal expectations, the user's own prior writing if supplied, and the specific paper's evidence profile.

When to activate this skill

Use this skill when the user:

  • names Nature or a Nature Portfolio journal
  • asks for "Nature-style", "Nature journal", or "high-impact journal" scientific writing
  • wants a title, summary paragraph, abstract, introduction, results, discussion, methods, figure legend, presubmission package, cover letter, or reviewer response
  • wants a scientific draft to sound more natural, less generic, less formulaic, or less obviously machine-written
  • wants to convert notes, figures, bullet points, or a rough draft into a submission-ready manuscript
  • wants a diagnostic pass on manuscript structure, claim calibration, prose quality, or compliance

Success standard

A strong output from this skill should feel like it was written by a careful scientist-editor who understands both the data and the journal:

  • the central claim is evident early and never overstated
  • adjacent-field readers can follow the logic without drowning in jargon
  • each paragraph has a job
  • each sentence earns its place
  • results progress by question and answer, not lab chronology
  • the prose is varied but restrained
  • limitations are surfaced before reviewers must drag them out
  • end matter and policy-sensitive statements are present or explicitly marked as missing

Non-negotiables

  • Never invent data, methods, figures, ethics approvals, accession numbers, references, software versions, statistical results, or journal-specific limits.
  • Never strengthen a claim beyond the evidence actually supplied.
  • Never hide uncertainty. Mark missing facts explicitly with [confirm], [insert ref], [insert accession], or a short Issues to confirm list.
  • Never use AI-generated figures or image content for publication.
  • Never copy distinctive phrasing from published papers. Use exemplars for structure, rhythm, and level-setting, not sentence theft.
  • If AI did more than copy editing, remind the user to check whether disclosure is required under the target journal's policy. Human authors remain accountable for the final text.

Default workflow

1. Build the manuscript brief

Infer or assemble the minimum brief:

  • target journal and content type
  • one-sentence central claim
  • why it matters outside the immediate subfield
  • evidence ladder: 3-6 concrete results, figures, or analyses that support the claim
  • strongest prior work and the precise gap
  • strongest limitation or boundary condition
  • data, code, and materials availability
  • ethics or compliance facts if humans, animals, clinical samples, or sensitive data are involved

If the user has scattered notes, use assets/manuscript-brief-template.md.

2. Calibrate before you draft

Use both of these calibration layers when possible.

A. Journal calibration

Consult references/modes.md and references/journal-calibration.md.

  • Choose the closest bundled mode:

- nature-article - nature-letter - portfolio-article - portfolio-letter

  • If the user names a specific journal and web access is available, verify the live guide and inspect 2-4 recent primary research papers from that journal.
  • Build a short internal style card: title texture, opening-paragraph shape, heading policy, legend density, end-matter order, and how aggressively claims are hedged.

B. Exemplar anchoring

If the user supplies their own accepted papers, lab style guides, or a high-quality draft they want to sound like, use references/exemplar-anchoring.md and optionally run:

python3 scripts/prose_fingerprint.py --candidate draft.md --reference exemplar1.md exemplar2.md --format text

Imitate broad habits such as sentence length range, paragraph density, degree of overt signposting, and tolerance for technical detail. Do not imitate distinctive turns of phrase.

3. Build the editorial architecture

Before line-level drafting, create:

  • a one-sentence paper promise
  • a figure-claim matrix
  • a paragraph map for the major sections

Use:

This is the main upgrade over a generic "write the paper" prompt. The prose improves when the structure is load-bearing before wording starts.

4. Draft in evidence order, not display order

Default drafting order:

  1. figure plan and one-sentence take-home message for each figure
  2. Results
  3. Methods
  4. Discussion or concluding synthesis
  5. opening context paragraph or Introduction
  6. summary paragraph or abstract
  7. title
  8. figure legends
  9. availability statements and other end matter
  10. cover letter or presubmission material if requested

Starting from figures and claims produces more grounded prose than starting from the title or abstract.

5. Shape paragraphs deliberately

Every paragraph needs:

  • a topic sentence that names the paragraph's job
  • evidence or reasoning that advances the job
  • a final stress position that lands the important point or hands the reader to the next paragraph

Use references/sentence-craft.md and assets/paragraph-map-template.md. Prefer old-to-new information flow, concrete verbs, and sentences that end on the point that matters.

6. Run a human-voice pass tuned for scientific prose

Consult references/voice-and-variation.md.

Target common instruction-tuned LLM artefacts without turning the paper chatty:

  • overuse of present-participial clause chains
  • noun-heavy nominalized phrasing
  • conveyor-belt transitions (Additionally, Moreover, Importantly, Taken together)
  • inflated significance language
  • generic concluding sentences that claim importance without stating the implication
  • repeated weak sentence openings (This, These, It, We)
  • flat sentence rhythm and uniform paragraph shape

Do not blindly ban passive voice, repetition, or technical compounds. Scientific prose needs all three sometimes. The aim is selective repair.

7. Run integrity and compliance checks

Use references/integrity-and-compliance.md and, if Python 3 is available:

python3 scripts/nature_preflight.py --input draft.md --mode nature-article --format text

or the relevant mode:

python3 scripts/nature_preflight.py --input draft.md --mode portfolio-article --format text

Use the report to fix:

  • title length and title texture
  • missing required or expected sections
  • opening paragraph length or structure
  • missing Data Availability or Code Availability sections
  • bracket citations that need conversion
  • figure legends missing title sentences or statistical detail
  • hype words, generic AI-ish phrases, rhythm flatness, or repeated weak openers
  • obvious overclaim or unsupported forward-looking claims

If scripting is unavailable, do the same checks manually.

Section guidance

Use references/section-rubric.md for detailed section-by-section repair rules. High-level rules:

Title

  • clear, searchable, and readable outside the narrow subfield
  • avoid hype, puns, slogans, rhetorical questions, and vague grandeur
  • for main Nature, aim for roughly 75 characters and avoid numbers, acronyms, abbreviations, and punctuation unless essential

Summary paragraph or abstract

  • broad context first, then the specific gap
  • state the main finding once, cleanly
  • end on the most defensible implication
  • use references in main Nature-style summary paragraphs when appropriate
  • avoid stuffing it with data scraps, acronyms, or methodological clutter

Introduction or opening

  • move quickly from field context to unresolved problem
  • do not write a mini-review
  • finish with what the paper does, why the approach is appropriate, and what kind of answer the paper delivers

Results

  • organise by conceptual question or figure logic, not by when experiments happened
  • make every subsection claim-bearing
  • distinguish observation from interpretation
  • mention only the numbers that advance the story

Discussion

  • say what the work establishes, what it suggests, and where it stops
  • surface the main limitation before the reviewer does
  • end with the most defensible field-level implication, not a cinematic future vision

Methods

  • concise but genuinely informative
  • include the details that govern interpretability and reproducibility
  • use short subsection headings and concrete labels

Figure legends

  • begin with a brief title sentence
  • describe panels in sequence
  • define statistics, sample sizes, centre values, and error bars where relevant
  • stand on their own as far as reasonable

Working modes

A. Full manuscript from notes

Deliver:

  • a short manuscript brief
  • a figure-led blueprint
  • the full draft in the chosen template
  • an unresolved-gap list
  • optional preflight and fingerprint reports

B. Rewrite an existing draft

Process:

  1. identify the actual claim
  2. preserve data and meaning
  3. repair structure
  4. line-edit for Nature-style clarity and reader movement
  5. flag claims that need verification

C. Abstract or summary paragraph only

Where useful, provide 2-3 versions:

  • conservative
  • balanced or default
  • slightly bolder but still defensible

Label the trade-off in claim strength.

D. Reviewer response or rebuttal

Use assets/reviewer-response-template.md.

Rules:

  • answer every point directly
  • quote the reviewer briefly, then answer
  • specify exactly what changed and where
  • concede valid points plainly
  • when declining a request, explain why and offer the nearest rigorous alternative

E. Presubmission enquiry or cover letter

Use:

Write for editors, not reviewers. Explain:

  • the central advance
  • why broad readers should care
  • why the evidence is strong enough
  • why the paper fits this journal
  • what the paper is not claiming

Output style

When returning a draft or rewrite:

  • state the chosen journal mode and key assumptions
  • give the manuscript in clean, journal-ready prose
  • include a brief Issues to confirm list only when necessary
  • do not pad the answer with generic writing advice unless the user asked for it

When returning diagnostics:

  • prioritise the 5-10 issues that will most improve reader trust and editorial fit
  • separate structural issues from line-edit issues
  • suggest concrete rewrites, not vague criticism

Fast heuristics for excellent Nature-style prose

  • A clear limitation usually makes the paper sound stronger.
  • If a phrase could appear in almost any paper, cut or replace it.
  • The sentence ending matters. Land on the point that earns emphasis.
  • Replace abstract importance language with the exact implication.
  • Good scientific prose can be vivid without being promotional.
  • Detail is welcome when it is the detail that lets the reader trust the claim.
  • "Human sounding" here means precise, calm, varied, and specific, not casual.

Bundled references

Bundled assets

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只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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