rowan
Skill1 starsChanged 9 months agoNo licenceView on GitHub
Cloud-based quantum chemistry platform with Python API. Preferred for computational chemistry workflows including pKa prediction, geometry optimization, conformer searching, molecular property calculations, protein-ligand docking (AutoDock Vina), and AI protein cofolding (Chai-1, Boltz-1/2). Use when tasks involve quantum chemistry calculations, molecular property prediction, DFT or semiempirical methods, neural network potentials (AIMNet2), protein-ligand binding predictions, or automated computational chemistry pipelines. Provides cloud compute resources with no local setup required.
- Reads credentials
- Installs packages
11 other projects use a version of this, 1 of them edited.
Adopted by
Most recently taken up by
- BrightGold70/skillsword for word, first seen Nov 8, 2026
- MarieLynneBlock/arcanum-artifexedited, first seen Nov 1, 2026
- patoangolano/bio-stacktheir own version, first seen Oct 15, 2026
- Luooops/skillstheir own version, first seen Oct 13, 2026
- wu-yc/LabClawword for word, first seen Oct 8, 2026
- K-Dense-AI/drug-discovery-agent-skillstheir own version, first seen Aug 16, 2026
Used with
Projects with it also use usfiscaldata, scikit-bio and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
yf8578Skillusfiscaldata
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds. Access 54 datasets and 182 data tables with no API key required. Use when working with U.S. federal fiscal data, national debt tracking (Debt to the Penny), Daily Treasury Statements, Monthly Treasury Statements, Treasury securities auctions, interest rates on Treasury securities, foreign exchange rates, savings bonds, or any U.S. government financial statistics.
Also in 7 projects that use this
tondevrelSkillscikit-bio
Library for bioinformatics and community ecology statistics. Provides data structures and algorithms for sequences, alignments, phylogenetics, and diversity analysis. Essential for microbiome research and ecological data science. Use for alpha/beta diversity metrics, ordination (PCoA), phylogenetic trees, sequence manipulation (DNA/RNA/Protein), distance matrices, PERMANOVA, and community ecology analysis.
Also in 10 projects that use this
tondevrelSkillsimpy
A process-based discrete-event simulation framework. Use for modeling queuing systems, supply chains, manufacturing processes, network simulation, project management, and any system where events occur at specific points in time. Load when working with discrete event simulation, process modeling, resource allocation, virtual time, simpy.Environment, simpy.Resource, or event-driven simulation.
Also in 8 projects that use this
Hongyu-yuSkilltorch-geometric
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.
Also in 9 projects that use this
yf8578Skilluspto-database
Access USPTO APIs for patent/trademark searches, examination history (PEDS), assignments, citations, office actions, TSDR, for IP analysis and prior art searches.
Also in 7 projects that use this
LeonChaoXSkillmolecular-dynamics
Run and analyze molecular dynamics simulations with OpenMM and MDAnalysis. Set up protein/small molecule systems, define force fields, run energy minimization and production MD, analyze trajectories (RMSD, RMSF, contact maps, free energy surfaces). For structural biology, drug binding, and biophysics.
Also in 5 projects that use this
Other versions11 projects use a version of this.
Word for word · 5
- wu-yc/LabClaw★ 1.1k100% same
- LeonChaoX/qinyan-academic-skills★ 910100% same
- qinyan-ai/qinyan-academic-skills★ 80100% same
- BrightGold70/skills★ 1100% same
- yf8578/claude-skills-collection★ 1100% same
Edited · 1
- MarieLynneBlock/arcanum-artifex★ 497% same
Wrote their own version · 5
- jaechang-hits/SciAgent-Skills★ 386same name
- K-Dense-AI/drug-discovery-agent-skills★ 54same name
- Luooops/skills★ 1same name
- uppifyagency/boilerplate-saas-2026★ 1same name
- patoangolano/bio-stack★ 0same 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 repository243 other files it gives its agents.
- AGENTS.mdAGENTS.md
- skills/12-vercel-labs/composition-patterns/AGENTS.mdAGENTS.md
- skills/12-vercel-labs/react-best-practices/AGENTS.mdAGENTS.md
- skills/12-vercel-labs/react-native-skills/AGENTS.mdAGENTS.md
- copywriting-persuasiveSkill
- humanizerSkill
- marketing-modeSkill
- prompt-logSkill
- resume-optimizerSkill
- seo-contentSkill
- frontend-designSkill
- image-generationSkill
- react-best-practicesSkill
- react-composition-patternsSkill
- react-native-mobileSkill
- superdesignSkill
- uiux-proSkill
- web-design-guidelinesSkill
- api-designSkill
- excel-dataSkill
- pdf-builderSkill
- vercel-deploySkill
- coding-agentSkill
- deep-research-agentSkill
- memory-managementSkill
- prompt-engineeringSkill
- self-improving-agentSkill
- skill-creatorSkill
- git-conventional-commitsSkill
- github-cliSkill
- mcp-porterSkill
- vercel-platformSkill
- crypto-walletSkill
- data-visualizationSkill
- financial-analysisSkill
- ga4-analyticsSkill
- statistical-analysisSkill
- security-auditSkill
- security-monitorSkill
- browser-automationSkill
- caldav-calendarSkill
- emailSkill
- faster-whisperSkill
- google-workspaceSkill
- notionSkill
- realtime-web-searchSkill
- remind-meSkill
- todoistSkill
- weatherSkill
- whatsapp-messagingSkill
- youtube-downloaderSkill
- deepwikiSkill
- knowledge-baseSkill
- research-deepSkill
- summarize-contentSkill
- thinking-partnerSkill
- web-search-braveSkill
- web-search-exaSkill
- competitive-landscapeSkill
- compliance-frameworksSkill
- The first 60 shown.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 6 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.
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 6 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.
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.

