nature-writing
Yuan1z0825/nature-skills · Agent Skill
Assists in drafting, structuring, and planning Nature-style scientific manuscripts and initial submission materials.
Jump to install ↓Overview
| Publisher | |
|---|---|
| Repository | Yuan1z0825/nature-skills ↗ |
| Skill folder | nature-writing |
| Stars | 39,583 |
| Bundled files | 2 |
| License | Apache-2.0 |
| Last updated | September 5, 2026 |
| Links | Skill source ↗ · Repository ↗ |
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Installation
A skill is a folder with a SKILL.md file. Pick your agent and run the commands in a terminal (macOS, Linux or Git Bash on Windows) from your project root.
Copy the prompt into Claude, Codex or another assistant: it will review the skill and install it for you.
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
Restart Claude Code — the skill appears in the list; call it manually with /nature-writing. For all projects use ~/.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 looks for skills in .agents/skills from the current folder up to the repo root; call one with /skills or $nature-writing. For all projects use ~/.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 picks the skill up on start; call it with “/” in Agent chat. Cursor also reads .claude/skills and .agents/skills. For all projects use ~/.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
Gemini CLI offers to activate the skill when a task matches — you approve it. For all projects use ~/.gemini/skills.
Read SKILL.md and any companion files before deciding whether to install. Click a file to preview it.
SKILL.md contents
Original author text · read-onlyNature-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.
Frequently asked questions
What does the nature-writing skill do?
Assists in drafting, structuring, and planning Nature-style scientific manuscripts and initial submission materials.
How do I install nature-writing?
Open the “Installation” block on this page and pick your agent — Claude Code, Codex, Cursor or Gemini CLI — for ready-made commands that copy the skill folder to the right place. Or copy the prompt from the “Via assistant” tab and let the assistant review and install the skill.
Which AI models work with nature-writing?
Skills are plain Markdown instructions (the Agent Skills format), so nature-writing works with any agent that reads SKILL.md: Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and more. The model loads the instructions only when a task matches the skill's description.
Is nature-writing free?
The skill is published openly by Yuan1z0825 under the Apache-2.0 license. The skill itself costs nothing — you only pay your AI provider for the tokens you use.
Is it safe to install skills?
A skill is a set of instructions your agent will follow, so read SKILL.md and its companion files before installing. Scripts in the skill folder only run if your agent runs them — keep an eye on what it does and do not grant unnecessary permissions.
How is a skill different from an MCP server or a plugin?
An MCP server or plugin gives the model new tools — code that runs and returns a result. A skill gives it knowledge and process: how to approach a task, which steps to follow and what good output looks like. It needs no server or API key.