Nature Shared References
SkillFiles & storageLets your agent load shared reference files used by the Nature writing and paper skills.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Nature Shared References skill
About this capability
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 skil
What this skill tells your AI
The instructions your AI receives, as published by yuan1z0825/nature-skills in skills/nature-shared/SKILL.md and read by ahel’s review.
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/andjournal-formats/as shared definitions, not standalone workflows. - Use
journal-formats/nature.mdonly for the flagship journal Nature andcore/research-compliance.mdonly when its specialist applicability gate is triggered. - Use
journal-formats/nature-machine-intelligence.mdfor 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.mdfor result placement, main-text compression, revision accretion, caption/SI allocation, and claim-repetition checks. - Use
core/nature-results-discussion.mdfor 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.mdfor journal-general Discussion function sequencing, reverse-funnel control, evidence-calibrated modality, claim-specific limitations, and uncertainty-driven future work. - Use
core/nature-introduction.mdfor 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.mdfor 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.
Signals
- GitHub stars
- 41k
- Forks
- 2k
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
nature-shared- Source
- github.com/yuan1z0825/nature-skills