nature-writing
Yuan1z0825/nature-skills · Agent Skill
協助起草、構建和規劃Nature風格的科學手稿及初次提交材料。
前往安裝 ↓總覽
| 發布者 | |
|---|---|
| 儲存庫 | Yuan1z0825/nature-skills ↗ |
| 技能資料夾 | nature-writing |
| 星 | 39,583 |
| 附帶檔案 | 2 |
| 授權 | Apache-2.0 |
| 最近更新 | 2026年9月5日 |
| 連結 | 技能原始碼 ↗ · 儲存庫 ↗ |
Mozgi 檢查
我們在技能檔案中發現的內容。詳細資訊需訂閱。
安裝
技能就是一個含 SKILL.md 的資料夾。選擇你的代理,在專案根目錄的終端機(macOS、Linux 或 Windows 的 Git Bash)執行指令。
把提示貼到 Claude、Codex 或其他助理:它會自行檢查並安裝技能。
Install the “nature-writing” skill from mozgi.io (https://mozgi.io/skills/nature-writing/) for me. 1. Download the archive: https://mozgi.io/skills/nature-writing/download If it fails, take the skill folder from the source: https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-writing 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-writing” 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-writing/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.
git clone --depth 1 --branch main https://github.com/Yuan1z0825/nature-skills.git /tmp/nature-skills mkdir -p .claude/skills cp -r /tmp/nature-skills/skills/nature-writing .claude/skills/nature-writing
重新啟動 Claude Code — 技能就會出現在清單中,手動呼叫:/nature-writing。要套用到所有專案,請放在 ~/.claude/skills。
git clone --depth 1 --branch main https://github.com/Yuan1z0825/nature-skills.git /tmp/nature-skills mkdir -p .agents/skills cp -r /tmp/nature-skills/skills/nature-writing .agents/skills/nature-writing
Codex 會從目前資料夾往上到儲存庫根目錄,在 .agents/skills 中尋找技能;用 /skills 或 $nature-writing 呼叫。所有專案:~/.agents/skills。
git clone --depth 1 --branch main https://github.com/Yuan1z0825/nature-skills.git /tmp/nature-skills mkdir -p .cursor/skills cp -r /tmp/nature-skills/skills/nature-writing .cursor/skills/nature-writing
Cursor 啟動時會載入技能;在 Agent 聊天輸入「/」呼叫。Cursor 也會讀取 .claude/skills 與 .agents/skills。所有專案:~/.cursor/skills。
git clone --depth 1 --branch main https://github.com/Yuan1z0825/nature-skills.git /tmp/nature-skills mkdir -p .gemini/skills cp -r /tmp/nature-skills/skills/nature-writing .gemini/skills/nature-writing
任務符合時,Gemini CLI 會提議啟用技能,由你確認。所有專案:~/.gemini/skills。
安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。
SKILL.md 內容
作者原文 · 唯讀Nature-Style Scientific Writing — Router
This skill is split into two layers:
- A static layer under
static/that holds versioned, reusable content fragments (core stance + workflow, paper-type playbooks, per-section drafting guidance, initial-submission 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 drafting 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 (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. Usesubmission-packagefor 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, run the workflow in core/workflow.md end-to-end. Do not skip planning just because the user asked for prose immediately.
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
Natureabstract opening or asks about asummary 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-writingowns initial submission materials prepared before peer review.nature-responseowns 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 tonature-reviewer.
Why this split
- The static layer is versioned and reviewable. Adding a new journal style, paper type, or section 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 multi-thousand-line reference set.
- The router itself is short on purpose. Update fragments, not this file, when adding scope.
- This structure mirrors
nature-polishingso shared content can later be lifted into anature-shared/layer used by both skills.
常見問題
nature-writing 技能有什麼用途?
協助起草、構建和規劃Nature風格的科學手稿及初次提交材料。
如何安裝 nature-writing?
打開本頁的「安裝」區塊並選擇你的代理 — Claude Code、Codex、Cursor 或 Gemini CLI:那裡有把技能資料夾複製到正確位置的現成指令。也可以複製「透過助理」分頁中的提示,讓助理自行檢查並安裝技能。
nature-writing 適用哪些 AI 模型?
技能是純 Markdown 指示(Agent Skills 格式),因此 nature-writing 適用任何讀取 SKILL.md 的代理:Claude Code、Codex、Cursor、Gemini CLI、GitHub Copilot、OpenCode 等。只有在任務符合技能描述時,模型才會載入指示。
nature-writing 是免費的嗎?
此技能由 Yuan1z0825 公開發布,採用 Apache-2.0 授權。技能本身免費 — 你只需向 AI 供應商支付實際使用的 token 費用。
安裝技能安全嗎?
技能是代理會遵循的指示,安裝前請閱讀 SKILL.md 及相關檔案。技能資料夾中的腳本只有在代理執行時才會運行 — 留意它的動作,不要授予多餘權限。
技能和 MCP 伺服器或外掛有何不同?
MCP 伺服器或外掛為模型提供新工具 — 會執行並回傳結果的程式碼。技能提供的是知識與流程:如何處理任務、要遵循哪些步驟、好的成果長什麼樣子。它不需要伺服器或 API 金鑰。