nature-citation
Skill0 starsChanged 2 months agoMITView on GitHub
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 asks to input text and automatically get references, add citations to a paragraph/manuscript, find Nature-series or CNS support for statements, create text-to-reference correspondence, "分段引用", "自动给出引用", "Nature系列引用", "CNS及子刊", "支撑文献", "补引用", "找引用", or export EndNote/RIS/ENW/Zotero RDF. Also trigger on general academic-writing citation needs even without the word "Nature", such as adding references while writing a paper, finding sources/literature for a claim, building a reference list, citation/referencing for academic writing, and Chinese phrasings like 学术写作引用、写论文加引用、写paper找文献、加参考文献、配文献、引用文献、文献支撑.
10 other projects use a version of this, 6 of them edited.
Adopted by
Most recently taken up by
- denghuipan/nature-portfolio-skillsedited, first seen Nov 15, 2026
- dragonadam/nature-skillsedited, first seen Oct 25, 2026
- Luooops/skillsedited, first seen Oct 13, 2026
- yanjumlinnb-boop/nature-skillsedited, first seen Oct 8, 2026
- Yang1Bai/nature-paper-hubtheir own version, first seen Sep 28, 2026
- Yuan1z0825/nature-skillsedited, first seen Aug 31, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 6
- Yuan1z0825/nature-skills★ 54k77% same
- yanjumlinnb-boop/nature-skills★ 1497% same
- dragonadam/nature-skills★ 497% same
- denghuipan/nature-portfolio-skills★ 297% same
- Luooops/skills★ 177% same
- zh123012/claude-skills★ 197% same
Wrote their own version · 4
- Chanw-research/claude-code-paper-writing★ 42same name
- Yang1Bai/nature-paper-hub★ 20same name
- Delagong950/nature-skills★ 4same name
- vcis-wangchenxu/agent_nature-skills★ 4same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository21 other files it gives its agents.
- journal-style-learnSkill
- nature-academic-searchSkill
- nature-dataSkill
- nature-downloaderSkill
- nature-experiment-logSkill
- nature-figure-prompt-onlySkill
- nature-figureSkill
- nature-image2pptSkill
- nature-literature-pipelineSkill
- nature-paper2pptSkill
- nature-paper-cardSkill
- nature-paper-to-patentSkill
- nature-polishingSkill
- researchwriteSkill
- nature-readerSkill
- nature-ref-verifierSkill
- nature-responseSkill
- nature-reviewerSkill
- nature-sharedSkill
- nature-statisticsSkill
- nature-writingSkill
The file
We split this skill into the rules it gives an agent
5 rules. 1 is common, 2 are distinctive, and 2 are very specific to this project.
1
Common
Most of the 10 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 35
When the target is Expert Systems with Applications (ESWA or Expert Syst.
- Distinctive: line 52
Do not try to apply the citation logic from memory or from this router.
- Distinctive: line 56
Follow these four steps every time the skill is invoked.
- Very specific: line 60
Read manifest.yaml. Then read every file listed under always_load:
- Common: line 80
Never present a paper as support merely because its title is related, and never cite a metadata-only candidate without checking the …
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Nature Citation — Router
Additional configured journals
For Applied Soft Computing (ASC), Engineering Applications of Artificial
Intelligence (EAAI), ISA Transactions, Knowledge-Based Systems (KBS),
Measurement, Neurocomputing, or IEEE Transactions on Reliability, use
../nature-shared/journal-formats/index.md to resolve the exact journal.
Preserve this skill’s task workflow and evidence safeguards. Apply only the
selected reference’s relevant scope; do not impose flagship-Nature significance
or import another journal’s numerical, citation, or production defaults.
These seven profiles do not yet establish verified official submission limits;
verify the target’s current official source when such requirements affect work.
ESWA journal context
When the target is Expert Systems with Applications (ESWA or
Expert Syst. Appl., case-insensitive), read
../nature-shared/journal-formats/eswa.md before applying journal-specific defaults.
Distinguish submission target from allowed reference venues. For general
citation support for an ESWA manuscript, use ../nature-academic-search/SKILL.md
for unrestricted claim-relevant discovery and verify the sources; do not pass
ESWA as an unsupported --scope to the Nature/CNS-only citation script. If the
user explicitly requests Nature/CNS-only sources, preserve that filter. Use the
shared ESWA contract for manuscript citation style; retain evidence and export
requirements. This is a conditional route, not an expansion of the CNS whitelist.
This skill is split into two layers:
- A static layer under
static/that holds versioned, reusable content fragments (core principles and scope, the Chinese-user operating mode, and the citation workflow). - A dynamic layer (this file plus
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.
Routing protocol
Follow these four steps every time the skill is invoked.
1. Load the manifest and the core layer
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 forNature系列/CNS及子刊style support.static/core/workflow.md— the seven-step workflow and the final report format.
2. No content axis — confirm scope and language inline
Unlike the other nature-* skills, nature-citation has no fragment axis. Its variation is runtime parameters, not different content bodies:
- journal scope —
Nature系列/CNS/CNS及子刊/ flagship-only. Read it from the user's wording (seecore/principles.md) and pass it to the script as--scope. - user language — if the user writes Chinese, follow
core/chinese-mode.md(Chinese notes, English search queries). - input length — if there are more than ~10 segments, switch to the batched long-article strategy in
references/script-usage.md.
State the detected scope and date limits in one short line before searching.
3. Run the workflow
Follow the seven steps in core/workflow.md: segment, parse, search, evaluate support conservatively, validate complete structured author metadata, 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. When DOI metadata lacks given names, refetch the record by PMID or verify it against the publisher rather than exporting surname-only AU fields.
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.
4. Reach for references only when needed
The files under references/ are deep references, not defaults. Open them on demand per the references.on_demand table in the manifest:
- running the script, full flags, long-article batching →
references/script-usage.md. - turning a claim into search queries and support grades →
references/search-strategy.md. - the exact Nature/CNS journal-family boundary →
references/journal-scope.md. - RIS / EndNote / Zotero RDF export details →
references/ris-endnote.md.
Why this split
- The static layer is versioned and reviewable; the core stays small for a normal short run.
- The dynamic layer keeps each invocation cheap: the script flag dump and long-article strategy load only when actually running a search.
- The router itself is short on purpose. Update fragments and references, not this file, when adding scope.
- This structure mirrors
nature-writing,nature-polishing,nature-reader,nature-paper2ppt, andnature-figure.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

