
Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab"Use scikit-bio TreeNode objects, Newick trees, distance-based tree
"Route scikit-image tasks across image I/O, enhancement, analysis,
"Extract features, match descriptors, measure labeled regions,
"Load and save images with skimage.data and skimage.io, reason
"Adjust color, exposure, filters, and restoration workflows in
"Generate masks and synthetic shapes, clean and label them, and
"Geometric transforms, warps, pyramids, Radon/Hough helpers, phase
"Use scikit-opt to solve GA, DE, PSO, SA, AFSA, routing, and
Select and run DE, PSO, SA schedules, and AFSA for continuous optimization.
"Use scikit-opt GA-family APIs for Gray-coded, elitist, and
Shape scikit-opt objectives, benchmark functions, and safe run-mode speedups.
Use scikit-opt route and permutation optimizers for TSP-style problems.
"Routes scikit-plot requests for metric curves, estimator
"Provides elbow-curve analysis for clusterers and direct
"Routes scikit-plot PCA visualization requests for
"Route feature-importance and learning-curve requests to
"Routes legacy scikit-plot factory-injection and deprecated
"Routes scikit-plot metric-curve requests for confusion matrices,
"Routes scispaCy biomedical spaCy component workflows,
"Routes scispaCy candidate generation, knowledge-base loading, ANN
"Routes scispaCy custom tokenizer, sentence segmentation,
"Routes scispaCy data conversion, evaluation, UMLS export, and
"Use scvi-tools for probabilistic single-cell omics analysis with
"Advanced scvi-tools operations: Ray/autotune, MLflow, optional
"Use for scvi-tools label transfer, query/reference mapping,
"Select and use scvi-tools built-in core model families, including
"Prepare AnnData and MuData inputs, readers, fixtures,
"Use trained scvi-tools models for latent embeddings, normalized
"Save, load, inspect, minify, and share scvi-tools model artifacts
"Route scvi-tools tasks involving multimodal, ATAC, spatial,
"Configure scvi-tools training, Trainer options, CPU/GPU devices,
"Use sd-scripts for Stable Diffusion and image-model training,
"Prepare, validate, and troubleshoot sd-scripts training data
"Run and troubleshoot sd-scripts image generation and minimal
"Use sd-scripts model and network utilities safely: LoRA
"Choose and compose sd-scripts training commands for
"Use the Synthetic Data Vault (SDV) Python package for tabular
Route SDV constraint design, serialization, loading, and debugging workflows.
"Prepare SDV demo data, local files, metadata, utilities, and logs
"Route SDV quality, diagnostic, and visualization workflows for
Route SDV relational and multi-table synthesis workflows with HMA and DayZ.
Route SDV PAR sequential synthesis workflows for sequence-keyed data.
"Use SDV single-table synthesizers to fit, sample, conditionally
"Use seaborn for statistical data visualization with the function
"Use seaborn data utilities and data-shape contracts for long-form,
"Use seaborn grid objects and figure-level plot returns for facets,
"Use seaborn's classic plotting functions for relational,
"Use seaborn.objects for declarative Plot composition with marks,
"Use seaborn theme, style, context, palette, colormap, color
"Guide historical SECOND and PointPillars LiDAR 3D detection