From nature-skills
Drafts, audits, or revises point-by-point reviewer response letters for Nature-family and other journal manuscript revisions.
How this skill is triggered — by the user, by Claude, or both
Slash command
/nature-skills:nature-responseThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill is split into two layers:
README.mdexamples/conflicting-reviewers.mdexamples/major-revision-with-missing-evidence.mdexamples/minor-revision.mdmanifest.yamlreferences/action-mapping.mdreferences/chinese-author-alignment.mdreferences/comment-taxonomy.mdreferences/difficult-cases.mdreferences/intake-and-routing.mdreferences/qa-checklist.mdreferences/response-structure.mdreferences/source-basis.mdreferences/tone-and-stance.mdstatic/core/stance.mdstatic/core/workflow.mdtests/conflicting-reviewers.mdtests/defensive-draft-audit.mdtests/evaluation-summary.mdtests/impossible-experiment.mdThis skill is split into two layers:
static/ that holds versioned, reusable content fragments (the default stance and red lines, and the response workflow with output format).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.
Follow these four steps every time the skill is invoked.
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 ten-step workflow, and the output package format.Unlike nature-writing or nature-figure, nature-response has no fragment axis. Its variation is identified at runtime, not by loading different content bodies:
draft / audit / revise / triage-only / appeal-like.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.
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.
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.
nature-writing, nature-polishing, nature-reader, nature-paper2ppt, nature-figure, and nature-citation.npx claudepluginhub yuan1z0825/nature-skills --plugin nature-skillsDrafts, audits, or revises point-by-point reviewer response letters for Nature-family manuscript revisions. Use when handling reviewer comments, editor decision letters, or revision requests.
Parses peer reviewer comments, classifies them as MAJOR/MINOR/REBUTTAL, and generates a structured Response to Reviewers document with tracked manuscript changes.
Simulates rigorous peer review before submission and crafts response letters for real reviewer comments. Covers ML/AI conferences, systematic reviews, and general journals with rubric-based evaluation.