skills/pymatgen-io/SKILL.md
Use for non-VASP input/output tasks in pymatgen.io: CIF/XYZ/Gaussian/OpenBabel and DFT/MD code IO such as CP2K, Q-Chem, ABINIT, LAMMPS, FEFF, NWChem, Quantum ESPRESSO, Wannier90, phonopy/shengbte, etc.
npx skillsauth add Hongyu-yu/matsci-ai-skills pymatgen-ioInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Pymatgen IO (non-VASP) handles file formats and interfaces for many DFT/MD codes other than VASP.
Ensure pymatgen is installed in your Python environment:
pip install pymatgen
# or
conda install -c conda-forge pymatgen
Example usage pattern:
from pymatgen.io.cif import CifParser
# your code here
Structure/MoleculeStructure or Molecule objects.Executable examples in the scripts/ directory:
2013-01-01-Getting_crystal_structures_from_online_sources.py - Fetching structures from online sources and parsing formats.Detailed reference material (load as needed):
references/io-non-vasp.md - IO patterns and examplesreferences/docs/ - Local API docs for pymatgen.iotools
Spreadsheet toolkit (.xlsx/.csv). Create/edit with formulas/formatting, analyze data, visualization, recalculate formulas, for spreadsheet processing and analysis.
tools
Expert assistant for VASP (Vienna Ab initio Simulation Package) calculations - input file generation, parameter selection, workflow setup, and best practices for accurate DFT calculations
data-ai
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
tools
Graph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.