技能创建器
skill-creator
创建、改进和评估自定义技能,把专业流程转化为可重复使用的 AI 能力。
nature-citation【数据与研究】Add strict Nature/CNS citations to manuscript text by splitting long passages into citable segments, searching only accepted flagship and subjournal titles from Nature Portfolio, the AAAS Science family, and Cell Press, filtering by publication time range, and exporting one reference-manager-ready output by default. Use this skill whenever the user a…
独立 GitHub 快照 · 自动分类 · 以原作者文档为准
This skill is split into two layers:
static/ that holds versioned, reusable content fragments (core principles and scope, the Chinese-user operating mode, and the citation workflow).manifest.yaml) that loads the core every time and reaches for heavier material only when a step needs it.Do not try to apply the citation 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/principles.md — what the skill produces, the strict journal scope, the source hierarchy, and the search-quality rules.static/core/chinese-mode.md — how to operate when the user writes in Chinese or asks for Nature系列/CNS及子刊 style support.static/core/workflow.md — the seven-step workflow and the final report format.Unlike the other nature-* skills, nature-citation has no fragment axis. Its variation is runtime parameters, not different content bodies:
Nature系列 / CNS / CNS及子刊 / flagship-only. Read it from the user's wording (see core/principles.md) and pass it to the script as --scope.core/chinese-mode.md (Chinese notes, English search queries).references/script-usage.md.State the detected scope and date limits in one short line before searching.
Follow the seven steps in core/workflow.md: segment, parse, search, evaluate support conservatively, export one reference-manager file, generate review artifacts when useful, and report with the HTML browser path first. Prefer scripts/nature_citation.py for the search/export when internet access is available; open references/script-usage.md for its full flag list and the long-article batch strategy.
Never present a paper as support merely because its title is related, and never cite a metadata-only candidate without checking the abstract or publisher page. Do not invent missing bibliographic fields.
The files under references/ are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest:
references/script-usage.md.references/search-strategy.md.references/journal-scope.md.references/ris-endnote.md.nature-writing, nature-polishing, nature-reader, nature-paper2ppt, and nature-figure.