>-
--- name: nature-response description: >- Draft, audit, or revise point-by-point reviewer response letters for Nature-family manuscript revisions. Use when the user provides reviewer comments, editor decision letters, revision notes, response drafts, or asks how to respond to major/minor revision requests, rebuttal letters, response to reviewers, peer-review reports, 审稿意见回复, 逐点回复, 修回信, 大修回复, 小修回复, or 如何回复 reviewer. Also trigger on general peer-review response needs during academic writing/revision even without the word "Nature", such as replying to reviewers for any journal, writing a rebuttal/response letter, handling revision comments, and Chinese phrasings like 回复审稿人、审稿回复、返修、 修改稿回复、写rebuttal、回应审稿意见、应对审稿. version: 1.0.0 status: Beta author: Community contribution, refactored into static/dynamic layers --- # 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 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](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 ten-step 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` / `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, and readiness state before drafting. Route appeal-like cases separately; do not draft an appeal as the default path. ### 3. Run the workflow Follow the ten-step workflow in `core/workflow.md`: identify mode and decision type, extract editor instructions (IDs `E.1`) then reviewer comments (`R1.1`, `R2.1`), classify each item, build a strategy summary, draft point-by-point responses from the preserved comments, map every claimed change to a manuscript location or an explicit placeholder, flag missing author input, run QA, and return the package with a readiness state. 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/` are deep references, 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, 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-polishing`, `nature-reader`, `nature-paper2ppt`, `nature-figure`, and `nature-citation`.
Creator's repository · yuan1z0825/nature-skills