nature-academic-search
Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer…
Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal. Use for reviewer reports, mock peer review, manuscript critique, novelty/significance/technical-soundness assessment, 审稿人视角评估, 模拟审稿, 预审, 投稿前自审, 审稿意见模拟, or 帮我审一下论文.
$ npx -y skills add Yuan1z0825/nature-skills --skill nature-reviewer --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/nature-reviewerContext preview
The summary Claude sees to decide when to auto-load this skill.
Simulate Nature-style or general pre-submission peer review from the referee perspective, not an author rebuttal. Use for reviewer reports, mock peer review, manuscript critique, novelty/significance/technical-soundness assessment, 审稿人视角评估, 模拟审稿, 预审, 投稿前自审, 审稿意见模拟, or 帮我审一下论文.
name: nature-reviewer description: "Provide evidence-grounded mock peer review of scientific manuscripts or excerpts, covering significance, validity, and major/minor concerns. Use for 模拟审稿、投稿前自审、审稿人视角评估; not author rebuttal drafting."
Use this skill to simulate a `Nature`-style reviewer assessment package from the referee side.
This skill is for reviewer-style manuscript evaluation, not for drafting the authors' response. If the user wants rebuttal writing, route to `nature-response`.
`Blocking Yes` only when the current manuscript cannot establish its central case until that concern is resolved; Minor Comments are never blocking.
instead of inventing one.
on the manuscript's case, not from hostile wording.
The skill may receive:
If the provided material is partial, perform a bounded review and mark the assessment boundary explicitly.
1. Identify the input scope and whether the job is a reviewer-style assessment rather than rebuttal drafting. 2. Build one immutable review packet containing only the supplied manuscript, verified source anchors, assessment boundary, and common journal criteria. Do not add analytical conclusions or suspected concerns to this packet. 3. Define the reviewer count and emphasis briefs before launching any reviewer. 4. Launch each reviewer in an isolated context. Pass only the immutable review packet, that reviewer's emphasis brief, the common report skeleton, and the same grounding rules. 5. Inside each isolated review, independently assess readiness and the source-grounded axes, then build that reviewer's own concern ledger using `references/technical-concern-taxonomy.md`. If relevant, load only the applicable section of `references/domain-specific-review-gates.md` inside that same isolated context. 6. Finalize and freeze every reviewer report. Do not show a completed or partial report to another reviewer, and do not redistribute concerns to control overlap. 7. Only after all reports are frozen, compare them in a separate synthesis pass. Reconcile independently created concerns to shared synthesis keys, and label consensus only when at least two reports independently raise the same underlying concern. 8. Generate `Cross-review synthesis (post-review; not shown to reviewers)` with consensus blocking concerns, other major concerns, the minor-revision checklist, and genuine differences in emphasis or judgment. 9. Run QA for reviewer isolation, severity calibration, blocking calibration, evidence anchoring, groundedness, coverage, role boundaries, and non-invention. Overlap is measured only after freezing and must never trigger retroactive rewriting of individual reports.
Unless t
Repo: Yuan1z0825/nature-skills
Multi-source literature search, citation verification, strict independent other-citation audits, article-level citation metric tables, influential citer…
Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles…
Prepare, audit, or revise Nature-ready Data Availability statements, data repository plans, dataset citations, and FAIR metadata checklists for manuscripts.…
Use when a user needs lawful academic full text, CNKI institutional access, English OA retrieval, publisher API access, institutional browser fallback, or…
标准化实验日志记录——直接上传或读取本地图片、语音和文字,产出带 YAML frontmatter 的 Markdown;可选集成飞书 CLI 与 Obsidian。
Create, revise, audit, and export submission-grade scientific figures for Nature-family and other high-impact venues in Python (matplotlib/seaborn) or R…