nature-shared

Yuan1z0825/nature-skills · Agent Skill

其他 Nature 技能的支援套件，提供共用參考和格式。不可獨立使用。

前往安裝 ↓

安裝選項

預設為含檢閱步驟的提示。您可以切換到直接指令。

透過 Claude 或 Codex 安裝

複製提示，貼入 Claude、Codex 或其他助手，它會檢視技能頁面並安裝。

I'd like to install this Claude Code skill:
https://github.com/Yuan1z0825/nature-skills/tree/main/skills/nature-shared

Please review the SKILL.md file, verify the skill is legitimate, then copy the skill folder into .claude/skills/ of my project.

技能檔案

1 個檔案 下載 ZIP

安裝前請先檢視 SKILL.md 與相關檔案。點擊檔案即可預覽。

SKILL.md 內容

作者原文 · 唯讀

Nature Shared References

Use this package only as a dependency of another installed Nature skill.

  • Load the exact referenced file; do not preload the whole package.
  • Treat core/ and journal-formats/ as shared definitions, not standalone workflows.
  • Use journal-formats/nature.md only for the flagship journal Nature and

core/research-compliance.md only when its specialist applicability gate is

triggered.

  • Use journal-formats/nature-machine-intelligence.md for exact NMI article

types, limits, initial-submission files, data/code duties and production

requirements; do not import flagship Nature or Nature Communications limits.

  • Use core/main-text-discipline.md for result placement, main-text compression,

revision accretion, caption/SI allocation, and claim-repetition checks.

  • Use core/nature-results-discussion.md for corpus-derived Nature-style

Results claim escalation, evidence-bound local interpretation, and Discussion

synthesis; do not present it as official journal policy.

  • Use core/discussion-argument-language.md for journal-general Discussion

function sequencing, reverse-funnel control, evidence-calibrated modality,

claim-specific limitations, and uncertainty-driven future work.

  • Use core/nature-introduction.md for corpus-derived Nature-style problem

funnels, exact knowledge gaps, literature tension, question-first novelty,

and Introduction–Results alignment; do not present it as official journal

policy.

  • Use core/nature-abstract.md for corpus-derived Nature-style

discovery-centred abstract compression, claim hierarchy, selective numeric

support, and field-level payoff; do not present it as official journal policy.

  • Return to the requesting skill for task logic, output format, and final QA.