scientific-schematics
Skill1 starsChanged 52 days agoNo licenceView on GitHub
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.6 Flash for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
- Reads credentials
- Installs packages
14 other projects use a version of this, 11 of them edited; 1 new project in the last 4 weeks, against 0 the 4 before.
Adopted by
Surging: 1 new project took it in the last 4 weeks, none the 4 weeks before.thin data
Most recently taken up by
- BrightGold70/skillsedited, first seen Nov 8, 2026
- K-Dense-AI/claude-scientific-writerword for word, first seen Nov 7, 2026
- MarieLynneBlock/arcanum-artifexedited, first seen Nov 1, 2026
- erafat/skillsedited, first seen Oct 15, 2026
- patoangolano/bio-stackedited, first seen Oct 15, 2026
- garri333/Skillsedited, first seen Oct 11, 2026
Other versions14 projects use a version of this.
Word for word · 1
- K-Dense-AI/claude-scientific-writer★ 2.6k100% same
Edited · 11
- LeonChaoX/qinyan-academic-skills★ 91038% same
- qinyan-ai/qinyan-academic-skills★ 8038% same
- erafat/skills★ 1736% same
- hxhx-win/zhuanli-flow★ 438% same
- MarieLynneBlock/arcanum-artifex★ 436% same
- BrightGold70/skills★ 136% same
- garri333/Skills★ 136% same
- uppifyagency/boilerplate-saas-2026★ 138% same
- yf8578/claude-skills-collection★ 136% same
- zh123012/claude-skills★ 164% same
1 more not listed
Wrote their own version · 2
- jaechang-hits/SciAgent-Skills★ 386same name
- JunMA98/Computer-science-claude-skills★ 3same 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 repository191 other files it gives its agents.
- adaptyvSkill
- aeonSkill
- alphagenomeSkill
- analytical-method-validationSkill
- anndataSkill
- arboretoSkill
- arborSkill
- astropySkill
- autoskillSkill
- benchling-integrationSkill
- bgpt-paper-searchSkill
- bidsSkill
- biopythonSkill
- bioservicesSkill
- bulk-rnaseqSkill
- cellxgene-censusSkill
- cirqSkill
- citation-managementSkill
- clinical-decision-supportSkill
- clinical-reportsSkill
- cobrapySkill
- consciousness-councilSkill
- daskSkill
- database-lookupSkill
- dataladSkill
- datamolSkill
- deepchemSkill
- deepspot-mSkill
- deeptoolsSkill
- depmapSkill
- dhdna-profilerSkill
- diffdockSkill
- dnanexus-integrationSkill
- docxSkill
- esmSkill
- etetoolkitSkill
- exa-searchSkill
- experimental-designSkill
- exploratory-data-analysisSkill
- flowioSkill
- fluidsimSkill
- folklore-variant-evidenceSkill
- generate-imageSkill
- genimlSkill
- genomic-coordinatesSkill
- genomic-intelligenceSkill
- geomasterSkill
- geopandasSkill
- get-available-resourcesSkill
- ggetSkill
- ginkgo-cloud-labSkill
- glycoengineeringSkill
- gtarsSkill
- histolabSkill
- hugging-scienceSkill
- hypogenicSkill
- hypothesis-generationSkill
- imaging-data-commonsSkill
- infographicsSkill
- iso-standards-readinessSkill
- The first 60 shown.
The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. 5 are common, 5 are distinctive, and 3 are very specific to this project.
5
Common
Most of the 13 edited versions we read keep these.
5
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
“Common” is measured: kept by at least 6 in 10 of the 13 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.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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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.

