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Internal shared-reference support package for installed Nature Skills, including nature-writing, nature-polishing, nature-response, nature-reader, and nature-paper2ppt. Do not invoke it as a standalone user workflow. Load only the specific core or journal-format file requested by another Nature skill.
npx skills add yuan1z0825/nature-skills --skill nature-sharedInstalls from the source repository, including any supporting files.
Downloads contain the instructions shown here. Use the install command for the complete skill.
Use this package only as a dependency of another installed Nature skill.
core/ and journal-formats/ as shared definitions, not standalone workflows.journal-formats/nature.md only for the flagship journal Nature and
core/research-compliance.md only when its specialist applicability gate is
triggered.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.core/main-text-discipline.md for result placement, main-text compression,
revision accretion, caption/SI allocation, and claim-repetition checks.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.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.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.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.--- name: nature-shared description: Internal shared-reference support package for installed Nature Skills, including nature-writing, nature-polishing, nature-response, nature-reader, and nature-paper2ppt. Do not invoke it as a standalone user workflow. Load only the specific core or journal-format file requested by another Nature skill. --- # 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.