Agent skill

Qinyan Nature Writing

by LeonChaoX in LeonChaoX/qinyan-academic-skills

面向 Nature、Nature Communications 及同等级综合期刊的证据驱动论文写作技能。用于从已核验的结果、图表、实验记录或中英文草稿构建标题、摘要、引言、结果、方法、讨论、结论和首次投稿材料;也用于重组论文论证、建立 claim–evidence map、控制声称边界和开展投稿前完整性检查。触发场景包括 Nature 写作、论文起草、章节重写、scientific…

MITAuto-check passedResearch & Science

Install Qinyan Nature Writing

skills CLI
$ npx skills add LeonChaoX/qinyan-academic-skills --skill qinyan-nature-writing -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install LeonChaoX/qinyan-academic-skills qinyan-nature-writing --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/LeonChaoX/qinyan-academic-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/'skills/沁言学术skills/qinyan-nature-writing' .claude/skills/qinyan-nature-writing && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
qinyan-nature-writing
GitHub stars
944
Token cost
~577 tokens
SKILL.md length
93 words
Files
6 (incl. scripts, references)
Skills in repo
31
Repo updated
First seen
Licence
MIT

At a glance

面向 Nature、Nature Communications 及同等级综合期刊的证据驱动论文写作技能。用于从已核验的结果、图表、实验记录或中英文草稿构建标题、摘要、引言、结果、方法、讨论、结论和首次投稿材料;也用于重组论文论证、建立 claim–evidence map、控制声称边界和开展投稿前完整性检查。触发场景包括 Nature 写作、论文起草、章节重写、scientific…

  • Works in 6 steps: Central claim:论文实际证明或支持的核心命题。 → Evidence set:支撑命题的图、表、实验、模型、数据集和统计结果。 → Boundary:证据不能支持的外推范围、机制解释或因果结论。 → …
  • Tasks that involve Resume and CV writing
  • SKILL.md covers 工作边界, 必须先建立的写作底稿, 执行流程 and 默认输出, plus 2 more sections
  • Runs Python scripts from its folder; calls python

What it does

Qinyan Nature Writing is an agent skill from LeonChaoX/qinyan-academic-skills. 面向 Nature、Nature Communications 及同等级综合期刊的证据驱动论文写作技能。用于从已核验的结果、图表、实验记录或中英文草稿构建标题、摘要、引言、结果、方法、讨论、结论和首次投稿材料;也用于重组论文论证、建立 claim–evidence map、控制声称边界和开展投稿前完整性检查。触发场景包括 Nature 写作、论文起草、章节重写、scientific writing、manuscript drafting、abstract、introduction、results narrative、discussion、cover letter、投稿材料。

Its SKILL.md is about 580 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts and reference files (for example `agents/openai.yaml`, `references/argument-workflow.md` and `references/section-blueprints.md`).

It sits in Research & Science, covering Resume and CV writing and Scientific writing. The repository describes itself as: A curated, multilingual library of 182 installable AI agent skills for end-to-end academic research—spanning literature discovery, scientific writing, grant development… The licence is MIT.

When your agent uses it

  • Tasks that involve Resume and CV writing
  • Tasks that involve Scientific writing

Example prompts

  • “/qinyan-nature-writing”

Requirements

  • Python 3

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Central claim:论文实际证明或支持的核心命题。
  2. Evidence set:支撑命题的图、表、实验、模型、数据集和统计结果。
  3. Boundary:证据不能支持的外推范围、机制解释或因果结论。
  4. Audience:跨领域读者为何应关心,以及专业读者需要看到什么。
  5. Terminology ledger:方法、数据集、指标、缩写、符号的唯一标准写法。
  6. Unresolved facts:仍需作者确认的事实;统一写为 AUTHOR_INPUT_NEEDED。

What it can do on your machine

Read from SKILL.md and the folder at commit df5a498. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Qinyan Nature Writing loads about 577 tokens when it runs, and up to ~2.3k if it reads all its reference files. Until then it costs about 78 tokens; SKILL.md has 93 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~78
When it runs · the whole SKILL.md, loaded when a task matches
~577
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.3k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from LeonChaoX/qinyan-academic-skills at commit df5a498, republished under its MIT licence (© LeonChaoX). 93 words, ~577 tokens.

Download SKILL.mdSave it as .claude/skills/qinyan-nature-writing/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
qinyan-nature-writing
description
面向 Nature、Nature Communications 及同等级综合期刊的证据驱动论文写作技能。用于从已核验的结果、图表、实验记录或中英文草稿构建标题、摘要、引言、结果、方法、讨论、结论和首次投稿材料;也用于重组论文论证、建立 claim–evidence map、控制声称边界和开展投稿前完整性检查。触发场景包括 Nature 写作、论文起草、章节重写、scientific writing、manuscript drafting、abstract、introduction、results narrative、discussion、cover letter、投稿材料。

沁言 Nature 论文写作

把论文视为一条可审计的论证链,而不是一组“像顶刊”的句子。先锁定事实和证据,再安排读者路径,最后写作。

工作边界

  • 处理从材料到论文章节的起草、重构与首次投稿材料。
  • 将纯语言精修交给 qinyan-nature-polishing。
  • 将投稿前同行评审交给 qinyan-nature-review。
  • 将统计设计与报告核验交给 qinyan-nature-statistics。
  • 将科研图设计和导出交给 qinyan-nature-figures。
  • 不生成不存在的结果、机制、统计显著性、参考文献、实验细节或期刊政策。

必须先建立的写作底稿

从用户材料中提取并明确标注:

  1. Central claim:论文实际证明或支持的核心命题。
  2. Evidence set:支撑命题的图、表、实验、模型、数据集和统计结果。
  3. Boundary:证据不能支持的外推范围、机制解释或因果结论。
  4. Audience:跨领域读者为何应关心,以及专业读者需要看到什么。
  5. Terminology ledger:方法、数据集、指标、缩写、符号的唯一标准写法。
  6. Unresolved facts:仍需作者确认的事实;统一写为 AUTHOR_INPUT_NEEDED。

如果核心命题、关键证据或边界缺失,先给出可继续工作的框架与缺口清单,不补造正文事实。

执行流程

  1. 分类任务。 确定论文类型、目标章节、目标期刊、源语言、字数限制和交付格式。
  2. 构建论证脊柱。 用一句话表达“研究对象—关键进展—方法—证据—适用边界”。
  3. 建立证据矩阵。 为每个主要声称绑定至少一个证据位置;把无证据声称降级、删除或标为待补。
  4. 设计章节职责。 让每段只承担一个主要功能:背景、缺口、方法、发现、比较、解释、意义或局限。
  5. 按证据顺序起草。 先写结果与图件逻辑,再写方法和讨论,最后收束摘要与标题;用户指定其他顺序时服从用户。
  6. 校准表达强度。 区分观察、关联、预测、干预和机制证据;使动词强度与证据层级一致。
  7. 运行结构审计。 对文本文件执行 python scripts/manuscript_audit.py <file>,处理 blocker 与 warning。
  8. 交付并暴露缺口。 给出可粘贴正文、关键编辑说明、证据风险和作者待确认项。

需要章节级结构时读取 references/section-blueprints.md。需要完整论证与证据映射方法时读取 references/argument-workflow.md。需要首次投稿材料时读取 references/submission-package.md。

默认输出

text
写作设定
- 论文类型 / 章节 / 目标期刊:
- 核心命题:
- 证据边界:

论证与段落地图
- P1:
- P2:

可粘贴正文
[draft]

证据与措辞风险
- [claim] → [evidence pointer / missing]

AUTHOR_INPUT_NEEDED
- [仅列事实性问题]

用户只要求正文且材料充分时,简化输出,但仍保留必要的风险标记。

质量门槛

  • 每个主要声称都能回指用户提供的证据。
  • 摘要中的结果、方向和数值与正文一致。
  • 引言提出的缺口由本研究真正回应。
  • 结果段不把解释冒充观察,讨论段不引入未展示的新结果。
  • 局限具体说明适用边界,不写成礼貌性尾句。
  • 标题与摘要避免无法核验的“首次”“突破性”“普适”等表述。
  • 首次投稿材料中的作者、单位、利益冲突和推荐审稿人信息均由作者确认。

资料路由

任务读取
建立 claim–evidence map、论证脊柱或术语账本references/argument-workflow.md
起草或重构具体章节references/section-blueprints.md
cover letter、title page、声明与投稿检查references/submission-package.md

© LeonChaoX, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 5 other files (scripts, references) in skills/沁言学术skills/qinyan-nature-writing of LeonChaoX/qinyan-academic-skills.

  • SKILL.md
  • agents/openai.yaml
  • references/argument-workflow.md
  • references/section-blueprints.md
  • references/submission-package.md
  • scripts/manuscript_audit.py

Open the folder on GitHubat commit df5a498

Compare with similar skills

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Qinyan Nature Writing compared with similar skills
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Medical Cv Resume Builderaipoch/medical-research-skills1.9k—~1.8kAutomated safety check: PassMIT
Scholar Journaljoshzyj/open-scholar-skill168—~15kAutomated safety check: PassCustom licence
Academic Paper Composerlishix520/academic-paper-skills1.4k2 repos~6.3kAutomated safety check: PassMIT
Linkedin Optimizeraipoch/medical-research-skills1.9k—~2.7kAutomated safety check: PassMIT

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Questions about Qinyan Nature Writing

What does Qinyan Nature Writing do?

面向 Nature、Nature Communications 及同等级综合期刊的证据驱动论文写作技能。用于从已核验的结果、图表、实验记录或中英文草稿构建标题、摘要、引言、结果、方法、讨论、结论和首次投稿材料;也用于重组论文论证、建立 claim–evidence map、控制声称边界和开展投稿前完整性检查。触发场景包括 Nature 写作、论文起草、章节重写、scientific…. Qinyan Nature Writing is an agent skill from LeonChaoX/qinyan-academic-skills.

When should I use Qinyan Nature Writing?

Qinyan Nature Writing fits situations like: tasks that involve Resume and CV writing; tasks that involve Scientific writing.

How do I install Qinyan Nature Writing in Claude Code?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill qinyan-nature-writing -a claude-code`. Or copy the skill folder (skills/沁言学术skills/qinyan-nature-writing in LeonChaoX/qinyan-academic-skills) into .claude/skills/qinyan-nature-writing in your project. Claude Code loads it when a task matches its description.

How do I install Qinyan Nature Writing in Codex?

Run `npx skills add LeonChaoX/qinyan-academic-skills --skill qinyan-nature-writing -a codex`. Or copy the skill folder (skills/沁言学术skills/qinyan-nature-writing in LeonChaoX/qinyan-academic-skills) into .agents/skills/qinyan-nature-writing in your project. Codex loads it when a task matches its description.

Can I use Qinyan Nature Writing in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add LeonChaoX/qinyan-academic-skills --skill qinyan-nature-writing -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/qinyan-nature-writing, .gemini/skills/qinyan-nature-writing, .github/skills/qinyan-nature-writing and .opencode/skills/qinyan-nature-writing in your project.

What does Qinyan Nature Writing need to run?

Going by SKILL.md and its folder, Qinyan Nature Writing needs Python for the scripts in its folder and the command-line tools its instructions call (python). Our summary lists: Python 3.

Does Qinyan Nature Writing access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Qinyan Nature Writing safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Qinyan Nature Writing use?

Qinyan Nature Writing is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Qinyan Nature Writing use?

About 577 tokens (SKILL.md is roughly 2.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 1.8k tokens, read only when the agent opens those files.

What are the alternatives to Qinyan Nature Writing?

Skills that share tags, products or a category with Qinyan Nature Writing: Submission Guide (brycewang-stanford/Auto-Empirical-Research-Skills, 4.6k stars), Medical Cv Resume Builder (aipoch/medical-research-skills, 1.9k stars), Scholar Journal (joshzyj/open-scholar-skill, 168 stars) and Academic Paper Composer (lishix520/academic-paper-skills, 1.4k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Qinyan Nature Writing?

LeonChaoX (a GitHub user) maintains it in LeonChaoX/qinyan-academic-skills, which has 944 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeonChaoX/qinyan-academic-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.