{"name":"wugroup-xjtlu-multiscale-materials-modelling-marketplace","owner":{"name":"ClaudePluginHub"},"plugins":[{"name":"wugroup-xjtlu-ase-plugins-ase","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Atomistic structure manipulation, file-format conversion, supercells, surfaces, and geometry optimization with ASE","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-lammpsio-plugins-lammpsio","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Read and write LAMMPS data and dump files, with LAMMPS/GSD interconversion","version":"1.0.0","strict":true,"keywords":[],"category":"data"},{"name":"wugroup-xjtlu-packmol-plugins-packmol","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Write and debug packmol input files to build initial configurations for MD simulations","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-polymer-build-plugins-polymer-build","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Generate atomistic and coarse-grained polymer systems and LAMMPS data files from SMILES","version":"1.0.0","strict":true,"keywords":[],"category":"data"},{"name":"wugroup-xjtlu-lammps-plugins-lammps","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Write, review, and debug LAMMPS input scripts with physics-aware validation","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-gromacs-plugins-gromacs","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Biomolecular MD setup, execution, and analysis with GROMACS","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-pyscf-plugins-pyscf","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Molecular HF, DFT, and MP2 calculations in Python with PySCF","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-cp2k-plugins-cp2k","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Generate, validate, and debug CP2K input files for periodic DFT, AIMD, and geometry optimization","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-mace-plugins-mace","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Run pretrained MACE-MP machine-learning potentials for energies, forces, and geometry optimization","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-pymatgen-plugins-pymatgen","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Crystal structures, materials file-format conversion, and phase diagrams with pymatgen","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-materials-project-plugins-materials-project","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Query the Materials Project database for crystal structures and material properties","version":"1.0.0","strict":true,"keywords":[],"category":"data"},{"name":"wugroup-xjtlu-rdkit-plugins-rdkit","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"SMILES/SDF parsing, molecular descriptors, fingerprints, and substructure search with RDKit","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-freud-plugins-freud","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Analyze MD trajectories: RDF, MSD, order parameters, structure factor, PMFT, Voronoi, and clustering","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-matplotlib-plugins-matplotlib","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Low-level matplotlib plotting and figure customization","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-seaborn-plugins-seaborn","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Statistical visualizations from pandas DataFrames with seaborn","version":"1.0.0","strict":true,"keywords":[],"category":"data"},{"name":"wugroup-xjtlu-shap-plugins-shap","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"SHAP values and explanation plots for model feature-importance analysis","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-scikit-learn-plugins-scikit-learn","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Classification, regression, clustering, dimensionality reduction, and pipelines with scikit-learn","version":"1.0.0","strict":true,"keywords":[],"category":"deployment"},{"name":"wugroup-xjtlu-umap-learn-plugins-umap-learn","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Nonlinear dimensionality reduction and embedding visualization with UMAP","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-ovito-plugins-ovito","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Render publication-quality molecular snapshots and animations from simulation trajectories with OVITO","version":"1.0.0","strict":true,"keywords":[],"category":"testing"},{"name":"wugroup-xjtlu-scientific-plotting-plugins-scientific-plotting","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Publication-quality matplotlib figures with APS, Nature, Science, and IEEE journal styling","version":"1.0.0","strict":true,"keywords":[],"category":"testing"},{"name":"wugroup-xjtlu-bayes-opt-plugins-bayes-opt","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Bayesian optimization for expensive material and molecular properties using Ax and BoTorch","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"},{"name":"wugroup-xjtlu-skill-creator-plugins-skill-creator","source":{"source":"github","repo":"wugroup-xjtlu/cc-skills-zhenghaowu-group"},"description":"Create, edit, evaluate, and benchmark Claude Code skills","version":"1.0.0","strict":true,"keywords":[],"category":"utilities"}]}