SuperAPI AI Directory

nature-response

Writing & research

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Updated 10-16 06:49

About this skill

Nature Reviewer Response — Router

This skill is split into two layers:

  • A static layer under static/ that holds versioned, reusable content fragments (the default stance and red lines, and the response workflow with output format).
  • A dynamic layer (this file plus manifest.yaml) that loads the core every time and reaches for the deeper response references or templates only when a step needs them.

Do not try to apply the response logic from memory or from this router. Always load fragments from disk as described below.

Routing protocol

Follow these four steps every time the skill is invoked.

1. Load the manifest and the core layer

Read manifest.yaml. Then read every file listed under always_load:

  • static/core/stance.md — the editor-facing purpose, the default stance, the red lines, and the source hierarchy that apply to every response job.
  • static/core/workflow.md — accepted inputs, the revision correspondence workflow, and the output package format.

2. No content axis — identify mode and language inline

Unlike nature-writing or nature-figure, nature-response has no fragment axis. Its variation is identified at runtime, not by loading different content bodies:

  • task mode — draft / audit / revise / triage-only / cover-letter / revision-package / latex-template / appeal-like.
  • decision type — minor revision, major revision, revise-and-resubmit, transfer after review, or unclear.
  • user language — if the user writes Chinese, also produce the 中文核对 block.

Use references/intake-and-routing.md to fix the task mode, minimum inputs, task-specific output components, and readiness state before drafting. Only revision-package defaults to the full combined package. Route appeal-like cases separately; do not draft an appeal as the default path.

3. Run the workflow

Follow the workflow in static/core/workflow.md: if the user pasted a journal email, first parse manuscript metadata, decision type, editor instructions, reviewer reports, required files, and deadlines from the email; identify mode and decision type; extract editor instructions (IDs E.1) then reviewer comments (R1.1, R2.1) when present; classify each item by response action and independently verified work status; build a strategy summary; draft only the components selected by the task mode; map every claimed change to a manuscript location or explicit placeholder; mark changed manuscript text in red on a backed-up copy when editing; format quoted revised manuscript text in the response letter in italics; apply the target journal's format first; flag missing author input; run QA; and derive package readiness from the per-item statuses and blocking state. Do not insert page-break markers into an ordinary Markdown response unless it is explicitly serving as a print/PDF source.

Never invent experiments, citations, line numbers, figure panels, supplementary items, editor instructions, or manuscript changes. Mark anything the author must supply as AUTHOR_INPUT_NEEDED.

4. Reach for references only when needed

The files under references/ and templates/ are deep resources, not defaults. Open them on demand per the references.on_demand table in the manifest — for example references/comment-taxonomy.md to classify comments, references/action-mapping.md for tracker fields, references/tone-and-stance.md for disagreement wording, references/difficult-cases.md for impossible experiments / conflicting reviewers / appeal-like cases, references/chinese-author-alignment.md for Chinese author notes, references/latex-templates.md for .tex cover/response/redline outputs, and references/qa-checklist.md before finalizing.

Why this split

  • The static layer is versioned and reviewable; the core stays small for a normal response.
  • The dynamic layer keeps each invocation cheap: the difficult-case, taxonomy, and QA depth load only when a step needs them.
  • The router itself is short on purpose. Update fragments and references, not this file, when adding scope.
  • This structure mirrors nature-writing, nature-paper2ppt, nature-figure, and nature-citation.