Data Science & ML Agent Skills for Claude Desktop

Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide…

STRING protein interaction network skill for functional enrichment and network visualization

Structural equation modeling with latent variables guide

Structural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements

Symbolic computation using SymPy for Python-based mathematical analysis

System dynamics modeling skill for feedback loop analysis, stock-flow diagrams, and dynamic simulation

Fine-tune any HuggingFace CV, VLM or LLM model on local NVIDIA GPUs inside an NGC PyTorch container.

TensorFlow/Keras model training skill with callbacks, distributed strategies, and TensorBoard integration.

Diagnose training issues with Tinker — slow steps, hanging sessions, output mismatches, error messages, renderer problems, and deployment…

Conduct post-training research for LLMs using the Tinker API — replicate paper results, explore new training ideas, run and monitor…

Track and visualize ML training experiments with Trackio.

Annotate VCF variants with Ensembl VEP REST, ClinVar significance, gnomAD/population frequency context, and prioritized

Create publication-quality figures that meet journal submission standards.

Weights & Biases integration skill for experiment tracking, hyperparameter sweeps, and artifact versioning.

Wannier90 skill for maximally localized Wannier functions and tight-binding model construction

Deploy and run ML experiments on local, remote, Vast.ai, or Modal serverless GPU.

Periodically check WandB metrics during training to catch problems early (NaN, loss divergence, idle GPUs).

Work sampling analysis skill for activity distribution and utilization studies.

Technical sub-skill of Yann LeCun. Covers CNNs, LeNet, backpropagation, JEPA (I-JEPA, V-JEPA, MC-JEPA), AMI (Advanced Machinery of...

End-to-end data analysis dispatching Coder and Data-engineer for implementation, coder-critic for review.

Astropy is the core Python package for astronomy, providing essential functionality for astronomical research and data analysis.