learningmatter-mit/AtomisticSkills

Intergrating Atomistic Skills into Agentic IDEs (Cursor, Claude Code, Google Antigravity, OpenClaw, etc)

154Stars on the repository
60Mods indexed here, across every type
6d agoLast push, which is what freshness is scored on
MITLicence, which decides whether bodies are shown

chem-db-mof

03

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Query multiple MOF databases (QMOF via MPContribs; ARC-MOF DB7/Majumdar et al. via Zenodo) and download CIF structures with optional element or identifier filters.

154 6d ago A 47 tokens original MIT

chem-db-qmof

04

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Query the Quantum MOF (QMOF) database via Materials Project's MPContribs platform for DFT-computed properties (bandgap) and optimized crystal structures of Metal-Organic Frameworks.

154 6d ago A 47 tokens original MIT

chem-db-spectra

05

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Search and download experimental InfraRed (IR), Mass spectra, and UV-Vis spectra data (JCAMP-DX format) for molecules.

154 6d ago A 34 tokens original MIT

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Write 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.

154 6d ago A 57 tokens original MIT

chem-docking-void

09

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Dock small-molecule guests into a porous host material using the VOID library (Voronoi Clustering), generating multiple 3D conformers with RDKit and ranking generated complexes.

154 6d ago A 42 tokens original MIT

chem-msms-predict

12

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Predict 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.

154 6d ago A 51 tokens original MIT

chem-nmr-analysis

14

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Scripts for Wasserstein deconvolution of 1H NMR mixture spectra against reference spectra, reaction product prediction, time-series kinetics, and spectral plotting.

154 6d ago A 36 tokens original MIT

chem-nmr-predict

15

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Predict 1H NMR spectra from SMILES strings via NMRdb.org SPINUS neural network prediction and nmrsim quantum mechanical spin simulation.

154 6d ago A 37 tokens original MIT

chem-solution-md

18

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Set up and run molecular dynamics simulations of molecules in explicit solvent boxes using Packmol for box construction and MLIPs for dynamics.

154 6d ago A 30 tokens original MIT

chem-sorption-relax

20

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Prepares supercells for porous frameworks based on minimum interplanar distance and relaxes them using standard MLIP relaxation tools.

154 6d ago A 31 tokens original MIT

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Match 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.

154 6d ago A 52 tokens original MIT

learningmatter-mit/AtomisticSkills

Skill Claude CodeCodex

Compute gas-phase thermodynamic quantities (H, S, G) and reaction thermochemistry (ΔH, ΔS, ΔG) using MLIPs with the ideal-gas/rigid-rotor/harmonic-oscillator approximation.

154 6d ago A 55 tokens original MIT