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26 skills · 4 commands · 3 agents · 1 MCP server
Agent skills for atomistic simulation: materials science, chemistry, drug discovery, and machine-learning interatomic potentials.
Plugin atomistic-skills from marketplace atomistic-skills in learningmatter-mit/AtomisticSkills. Commands read from the repo's manifest — 17 days ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
chem-bond-dissociationCalculate homolytic and heterolytic bond dissociation energies (BDEs) for all single bonds in a molecule using MLIPs with RDKit fragmentation.
chem-conformer-searchGenerate molecular conformers with RDKit ETKDG, relax with MLIPs, and rank by energy with Boltzmann weighting.
chem-db-mofQuery multiple MOF databases (QMOF via MPContribs; ARC-MOF DB7/Majumdar et al. via Materials Cloud) and download CIF structures with optional element or identifier filters.
chem-db-qmofQuery the Quantum MOF (QMOF) database via Materials Project's MPContribs platform for DFT-computed properties (bandgap) and optimized crystal structures of Metal-Organic Frameworks.
chem-db-spectraSearch and download experimental InfraRed (IR), Mass spectra, and UV-Vis spectra data (JCAMP-DX format) for molecules.
chem-dft-orca-advanced-calculationWrite and run custom ORCA input files for advanced electronic structure methods or settings not available through the SCINE wrapper, including multi-reference methods, excited states, relativistic effects, advanced SCF, NMR/EPR, and more.
chem-dft-orca-optimizationRun DFT geometry optimization (minimization or TS search) on a molecular structure using ORCA via SCINE/ReaDuct wrapper.
chem-dft-orca-singlepointRun a DFT or Coupled Cluster single-point energy calculation (with optional gradients/Hessian) on a molecular structure with ORCA through SCINE wrapper.
chem-docking-voidDock small-molecule guests into a porous host material using the VOID library (Voronoi Clustering), generating multiple 3D conformers with RDKit and ranking generated complexes.
chem-hazard-toxicityExtract explicit safety warnings, GHS classifications, LD50 toxicity profiles, and acute oral toxicity triage from PubChem PUG VIEW.
chem-irc-verificationVerify non-periodic molecular TS connectivity with forward/reverse IRC using endpoint connectivity and RMSD checks.
chem-msms-predictPredict LC-MS/MS (MS2, tandem mass spectra) from SMILES via ICEBERG, a two-stage deep neural network. Outputs predicted m/z vs intensity spectrum, fragment ion SMILES, and a spectrum plot.
chem-neb-barrierCalculate activation barrier using Nudged Elastic Band (NEB) method with MLIPs.
chem-nmr-analysisScripts for Wasserstein deconvolution of 1H NMR mixture spectra against reference spectra, reaction product prediction, time-series kinetics, and spectral plotting.
chem-nmr-predictPredict 1H NMR spectra from SMILES strings via NMRdb.org SPINUS neural network prediction and nmrsim quantum mechanical spin simulation.
chem-react-otGenerate transition state structures for chemical reactions using React-OT.
chem-similarity-searchFind structurally similar chemical compounds using PubChem's 2D fast similarity engine via the PUG-REST API.
chem-solution-mdSet up and run molecular dynamics simulations of molecules in explicit solvent boxes using Packmol for box construction and MLIPs for dynamics.
chem-sorption-gcmcCalculates gas adsorption isotherms via BVT/GCMC Monte Carlo simulations in a porous framework using MLIP.
chem-sorption-relaxPrepares supercells for porous frameworks based on minimum interplanar distance and relaxes them using standard MLIP relaxation tools.
chem-sorption-widomCalculates Henry coefficient and heat of adsorption for a gas in a porous framework using Widom insertion with any supported MLIP.
chem-spectrum-matcherMatch an experimental spectrum (1H NMR, 13C NMR, IR) against predicted or database reference spectra for candidate ranking and structure confirmation. Supports local catalog lookup, public database fallback, and pluggable similarity metrics.
chem-thermochemistryCompute gas-phase thermodynamic quantities (H, S, G) and reaction thermochemistry (ΔH, ΔS, ΔG) using MLIPs with the ideal-gas/rigid-rotor/harmonic-oscillator approximation.
chem-ts-optimizationOptimize non-periodic molecular TS guesses and verify first-order saddle point from vibrational modes.
chem-vibrationCalculate vibrational frequencies, normal modes, zero-point energy, and IR spectra of molecules and clusters using MLIPs.
drug-admet-predictionCompute RDKit physicochemical descriptors and rule-based drug-likeness heuristics (Ro5, Veber, QED) from SMILES.
drug-binding-site-definitionDefine a docking search box (center coordinates + box dimensions in Angstroms) from a co-crystal ligand, binding-site residues, or a saved JSON specification. Use this skill whenever the user mentions binding site, docking box, search box, grid box, active site definition, or pocket definition, or n
drug-bioactivity-assayFetch biological assays and target proteins a chemical has been tested against via PubChem.
drug-complex-system-builderBuild a solvated, charge-neutralized protein-ligand complex for OpenMM molecular dynamics simulation. Combines a prepared receptor PDB and ligand SDF, parameterizes the ligand with OpenFF Sage or GAFF (AM1-BCC charges), applies Amber ff14SB to the protein, solvates with explicit water, and adds coun
drug-db-chemblQuery ChEMBL web services for targets, molecules, and curated bioactivity measurements (IC50, Ki, EC50, etc.).
drug-db-pdbSearch, filter, and retrieve macromolecular structures from the RCSB Protein Data Bank (PDB), including metadata, bound ligands, and optional coordinate/validation downloads.
drug-db-pubchemQuery PubChem via PUG-REST to retrieve CIDs, computed properties, synonyms, and 2D/3D SDF structures.
drug-docking-analysisPost-docking analysis of virtual screening results including score distributions, enrichment metrics (ROC AUC, enrichment factors), and ligand efficiency calculations.
drug-docking-vinaDock small-molecule ligands into a protein receptor using AutoDock Vina (Python API) and save ranked poses + docking metadata for reproducible virtual screening.
drug-ligand-prepPrepare small-molecule ligands for docking and analysis via optional state enumeration, 3D conformer generation, MMFF/UFF minimization, and export to SDF + AutoDock PDBQT.
drug-mmpbsa-gbsaCompute single-trajectory MM-GBSA and / or MM-PBSA binding free energy estimates from a protein-ligand MD trajectory. Two backends: a fast OpenMM GBn2 path (no extra dependencies) and an AmberTools MMPBSA.py path that supports both GB (multiple igb models) and Poisson-Boltzmann PB on the same trajec
drug-molecular-fingerprintsCompute Morgan/ECFP fingerprints, Tanimoto similarity, and optional Butina clusters/heatmaps for small-molecule comparison.
drug-pocket-detectionIdentify and rank ligandable pockets on a protein structure or model using geometry (fpocket) or an ML predictor (P2Rank). Returns ranked pockets with lining residues, geometric center, volume, and a druggability score per pocket. Excludes docking; pair with drug-binding-site-definition or drug-dock
drug-pose-validationValidate docked or generated ligand poses for physical plausibility using PoseBusters, filtering out chemically invalid or clashing poses before downstream refinement.
drug-protein-ligand-mdRun a protein-ligand MD simulation in OpenMM with energy minimization, restrained equilibration, and production NPT, producing trajectory and checkpoint files for downstream analysis.
drug-protein-prepPrepare macromolecular receptor structures (PDB/mmCIF or RCSB PDB ID) for docking or simulation by fixing common structure issues and adding hydrogens.
drug-redocking-rmsdCompute symmetry-corrected heavy-atom RMSD between docked poses and a reference crystal ligand to validate docking protocols.
drug-retrosynthesisPredict synthetic accessibility and retrosynthetic pathways for novel molecules using the IBM RXN API.
drug-trajectory-analysisAnalyze a protein-ligand MD trajectory to compute ligand RMSD, pocket RMSF, hydrogen bonds, contact occupancy, and protein-ligand interaction fingerprints over time.
general-arxiv-searchSearch and retrieve research papers from ArXiv API for scientific research.
general-atomisticskills-rulesWorking rules for atomistic research with AtomisticSkills -- how to scope a request, set up a research directory and a plan before simulating, run skills and MCP tools, stay within GPU memory, and report results. Read it before any multi-step simulation, screening, fine-tuning or benchmarking task.
general-atomisticskills-setupSet up, check or troubleshoot how AtomisticSkills runs on this machine -- creating its Python environments, connecting its MCP servers, choosing uv or a container runtime, and configuring API keys. Use it when installing AtomisticSkills, when a skill command or MCP tool fails to start, or before a f
general-biorxiv-searchSearch and retrieve preprint metadata from bioRxiv and medRxiv APIs for biological and medical research.
general-chemical-literatureRetrieve extensive literature (PubMed) and patent associated with a specific chemical compound via PubChem.
general-chemical-pricingRetrieves averaged elemental prices and provides direct vendor purchase links for elements and precursor compounds.
general-deep-researchPerform iterative, deep, and comprehensive literature research on a specific materials/chemistry topic.
general-fair-data-reviewReview a manuscript or code repository for FAIR data compliance (Findable, Accessible, Interoperable, Reusable), producing a structured report with pass/fail per principle and actionable remediation steps.
general-patent-searchSearch for patents by keyword, material name, or assignee using free data sources (Google Patents).
general-peer-reviewAct as a reviewer to critically review research plans, manuscripts, or task summaries, pointing out missing baselines, statistical flaws, and weak assumptions.
general-plot-digitizerExtract continuous X-Y data from experimental spectrum images (Raman, XRD, UV-Vis, IR, etc.) via hybrid VLM + CV pipeline and agent-in-the-loop workflow.
general-presentationGenerate and iteratively refine PowerPoint presentations from simulation results using python-pptx.
general-property-unitsReference guide for energy, force, and stress units across MLIPs, DFT codes, and ASE, including conversion factors.
general-publisher-access-guardAvoid bot-blocking publisher websites by routing paper retrieval through legal open-access APIs and mirrors.
general-query-literature-databaseFind relevant simulation workflows in the in-house literature database.
general-workflow-plannerHierarchically decompose high-level scientific workflows (from literature or user-proposed) into executable sequences of existing SKILLs and MCP tools for the research plan.
mat-amorphizationGenerate amorphorized structures from crystalline starting points using a melt-quench MD protocol.
mat-calphad-phase-diagramCalculate and plot multi-component temperature-composition phase diagrams from Thermodynamic Database (.tdb) files using CALPHAD methods.
mat-calphad-property-diagramCalculate temperature-dependent thermodynamic properties like Equilibrium Phase Fractions for a specific alloy composition using CALPHAD models.
mat-db-mpQuery Materials Project database for crystal structures, computed properties, elastic/magnetic data, and structurally similar materials using the MP API.
mat-db-nist-janafQuery the NIST Chemistry WebBook (which includes JANAF thermochemical tables) for standard experimental thermochemistry properties.
mat-db-optimadeQuery the Crystallography Open Database (COD) and other OPTIMADE-compliant databases for experimental crystal structures.
mat-defect-energy-dftCalculate charged defect formation energies and transition level diagrams using pymatgen-analysis-defects and atomate2 VASP workflows.
mat-defect-energyCalculate point-defect formation energies (vacancies, substitutions, interstitials) using MLIPs.
mat-dft-electron-phononComputes electron-phonon coupling to calculate temperature-dependent bandgap renormalization using atomate2.
mat-dft-electronic-transportCompute electronic transport properties (mobility, conductivity, Seebeck coefficient) using DFT and AMSET via atomate2.
mat-dft-ferroelectricCalculate the spontaneous ferroelectric polarization across a non-polar to polar structure transition using the Berry Phase method.
mat-dft-lobsterConstruct computational flows for VASP electronic structure projection via LOBSTER to calculate chemical bonding insights (COHP, atomic charges, DOS).
mat-dft-mixing-functionalsEnergy corrections needed when using certain MLIPs for phase diagram construction / formation energy calculations.
mat-dft-vaspPrepare VASP input files, run DFT calculations (locally or remotely via atomate2), and parse VASP output results.
mat-dielectric-responseCalculate frequency-dependent dielectric response using atomate2 OpticsMaker and VASP.
mat-diffusion-analysisCalculate ionic diffusion coefficients and activation energy from MD trajectories using pymatgen.
mat-disorderGenerate ordered structures from disordered starting points with partial occupancies.
mat-edi-mobilityCompute defect-limited carrier mobility and electron-defect scattering matrix elements in 2D and 3D semiconductors from first principles with Quantum ESPRESSO and the EDI plugin.
mat-elasticityCalculate the full elastic tensor and mechanical properties (bulk modulus, shear modulus, Young's modulus, Poisson's ratio) using MLIPs.
mat-electrochemical-windowCalculate the intrinsic electrochemical stability window (ECW) of a material using standard phase diagram thermodynamic methods.
mat-electronic-structuremat-elemental-energiesmat-epw-mobilitymat-equation-of-statemat-grain-boundarymat-grand-canonical-mcmat-intercalation-voltagemat-ionic-substitutionmat-kinetic-monte-carlomat-lammps-mdmat-lattice-thermal-conductivitymat-magnetic-densitymat-md-monitorsmat-md-probability-densitymat-melting-pointmat-phase-diagrammat-phase-field-conservativemat-phase-field-non-conservativemat-phononmat-pourbaix-diagrammat-qha-thermal-expansionmat-raman-spectramat-random-structure-searchmat-reaction-networkmat-sample-pes-by-mdmat-solid-free-energymat-stabilitymat-structure-noveltymat-surface-adsorptionmat-surface-energymat-synthesis-extractionmat-synthesis-recommendationmat-wannier-tight-bindingmat-xrd-calculatormat-xrd-digitizermat-xrd-phase-analysismat-xrd-refinementml-bayesian-optimizationml-cluster-expansionml-committee-uncertaintyml-fairchem-finetuneml-foundation-potentialsml-generative-aditml-generative-diffcspml-generative-mattergenml-mace-finetuneml-matgl-finetuneml-mlip-automlml-mlip-benchmarkml-mlip-nvalchemiml-mlip-speedml-property-predict-scdml-property-predictoraditruns: ${CLAUDE_PLUGIN_ROOT}/venv/run --server adit
atomate2runs: ${CLAUDE_PLUGIN_ROOT}/venv/run --server atomate2
baseruns: ${CLAUDE_PLUGIN_ROOT}/venv/run --server base
diffcspruns: ${CLAUDE_PLUGIN_ROOT}/venv/run --server diffcsp
drugdiscruns: ${CLAUDE_PLUGIN_ROOT}/venv/run --server drugdisc
fairchemruns: ${CLAUDE_PLUGIN_ROOT}/venv/run --server fairchem
maceruns: ${CLAUDE_PLUGIN_ROOT}/venv/run --server mace
matglruns: ${CLAUDE_PLUGIN_ROOT}/venv/run --server matgl
mattergenruns: ${CLAUDE_PLUGIN_ROOT}/venv/run --server mattergen
smolruns: ${CLAUDE_PLUGIN_ROOT}/venv/run --server smol
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Study companion for the Deep Learning textbook by Goodfellow, Bengio & Courville (MIT Press, 2016), free to read at deeplearningbook.org. Twenty chapter files, a glossary, patterns and a cheatsheet index the whole book, and a delta reference dates it against 2026 practice with per-claim confidence levels: double descent qualifying the U-curve, AdamW splitting weight decay from L2, transformers displacing Chapter 10's recurrence, diffusion growing out of Chapter 18's score matching. Four stdlib tools make it executable — a prerequisite-closed reading-path planner that refuses goals the book does not cover, a training diagnostic running Chapter 11's rules in priority order so a NaN is never reported as overfitting, a capacity planner that ranks 'shrink the model' last when overparameterized, and a parameter/FLOP/activation-memory calculator that refuses a stack whose shapes do not connect. A companion, not a compilation: the book is copyrighted, so nothing here reproduces its text.
1 skill · 3 commands · 1 agent
Data engineering, ML, and AI specialists - data pipelines, machine learning, LLM architecture
Operator-grade Mistral skill pack with 24 current API, security, reliability, governance, and migration workflows
24 skills
2,700+ scientific tools (PubMed, UniProt, PubChem, TCGA, FAERS, ClinicalTrials.gov, etc.) + 160+ research skills + MCP server + research slash commands.
163 skills · 8 commands · 1 agent · 1 MCP server · hooks
View, search, download, and read academic papers from arXiv. Supports API queries, web scraping via Actionbook, and HTML paper reading via ar5iv.
1 skill · 10 commands · 5 agents · 1 MCP server
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