Nature-Style Scientific Writing — Router
SkillDocs & knowledgeLets your agent draft and restructure scientific manuscript sections and submission materials from your notes or drafts.
Available today. Use it from your connected AI after setup.
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Nature-Style Scientific Writing — Router skill
About this capability
Draft, restructure, or plan Nature-style manuscript sections and initial-submission materials from author-provided claims, results, figures, notes, or Chinese drafts. Use for abstracts, introductions, related work, methods, Results or experiments, discussions, conclusions, titles, full manuscript ar
What this skill tells your AI
The instructions your AI receives, as published by yuan1z0825/nature-skills in skills/nature-writing/SKILL.md and read by ahel’s review.
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. 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. Usenatureonly for the flagship journal Nature,nat-commsfor Nature Communications,nat-mach-intellfor Nature Machine Intelligence (NMI), andnature-familyfor 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:
- Core stance + intake (
core/stance.md) — surface missing claim / evidence / boundary before drafting. - Paper-type playbook — argument chain, drafting order.
- Section-specific drafting rules and structure.
- Task-specific submission rules when
task=submission-package. - Journal-specific framing and constraints.
- 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
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.
Signals
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- Last commit
- Sep 2026
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- github.com/yuan1z0825/nature-skills