yuan1z0825/nature-skills

nature-shared

Internal shared-reference support package for installed Nature Skills, including nature-writing, nature-polishing, nature-response, nature-reader, and nature-paper2ppt.

View source

How to use

  1. Copy the installation command and review the source package before installing it in your own agent environment.
  2. Check the source document for required tools, credentials and supported hosts.
  3. Describe your input and desired deliverable; review the output against the source material.
npx skills add https://github.com/yuan1z0825/nature-skills --skill nature-shared

Before you start

  • Installation does not include a model subscription, API allowance or permission to access your files.
  • Repository stars and installation counts describe activity, not an independent quality or security test.
Original skill document

Rendered from the source repository. Headings, examples, code, tables, links, and referenced images are preserved.

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.
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