deepchem
Skill1 starsChanged 5 days agoNo licenceView on GitHub
Molecular ML with diverse featurizers and pre-built datasets. Use for property prediction (ADMET, toxicity) with traditional ML or GNNs when you want extensive featurization options and MoleculeNet benchmarks. Best for quick experiments with pre-trained models, diverse molecular representations. For graph-first PyTorch workflows use torchdrug; for benchmark datasets use pytdc.
- Installs packages
12 other projects use a version of this, 7 of them edited.
Adopted by
Most recently taken up by
- MarieLynneBlock/arcanum-artifexedited, first seen Nov 1, 2026
- davidanthonyn/claude-skillsedited, first seen Oct 20, 2026
- patoangolano/bio-stacktheir own version, first seen Oct 15, 2026
- Luooops/skillsedited, first seen Oct 13, 2026
- garri333/Skillsword for word, first seen Oct 11, 2026
- wu-yc/LabClawword for word, first seen Oct 8, 2026
Used with
Projects with it also use usfiscaldata, molecular-dynamics and 2 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 4 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 4 projects that use this
Google DeepMindSkillinterpro-database
Identify domains, families, and sites in proteins; find all proteins in a family or sharing a domain; explore species distribution for a domain; annotate genomes with protein families and GO terms. InterPro combines 14 databases (e.g., Pfam, CDD) into one searchable resource. InterPro-N significantly expands annotation and sequence coverage with deep learning. Includes domain architecture (IDA) search.
Also in 4 projects that use this
refly-aiSkillalpha-vantage
Get financial data from Alpha Vantage. Use when you need to: (1) retrieve stock quotes and prices, (2) get forex or crypto rates, or (3) access market analytics data.
Also in 3 projects that use this
Other versions12 projects use a version of this.
Word for word · 3
- wu-yc/LabClaw★ 1.1k100% same
- garri333/Skills★ 1100% same
- yf8578/claude-skills-collection★ 1100% same
Edited · 7
- LeonChaoX/qinyan-academic-skills★ 910100% same
- qinyan-ai/qinyan-academic-skills★ 80100% same
- K-Dense-AI/drug-discovery-agent-skills★ 5452% same
- MarieLynneBlock/arcanum-artifex★ 497% same
- Luooops/skills★ 157% same
- uppifyagency/boilerplate-saas-2026★ 1100% same
- davidanthonyn/claude-skills★ 098% same
Wrote their own version · 2
- jaechang-hits/SciAgent-Skills★ 386same 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 repository317 other files it gives its agents.
- AGENTS.mdAGENTS.md
- composioAGENTS.md
- clinical-statistics-analyzer/CLAUDE.mdCLAUDE.md
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- bkit-frontend-architectSkill
- bkit-geminiSkill
- bkit-pdcaSkill
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- brainstormingSkill
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- chinese-copywriting-guidelinesSkill
- chinese-patentSkill
- chrome-devtoolsSkill
- circleci-automationSkill
- cirqSkill
- citation-managementSkill
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- clinical-decision-supportSkill
- clinical-reportsSkill
- clinical-statistics-analyzerSkill
- clinical-study-analysisSkill
- clinicaltrials-databaseSkill
- clinpgx-databaseSkill
- clinvar-databaseSkill
- cliSkill
- close-automationSkill
- The first 60 shown.
The file
Show its rules and text
We split this skill into the rules it gives an agent
13 rules. 9 are common, 2 are distinctive, and 2 are very specific to this project.
9
Common
Most of the 9 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 9 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.
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