Claude Skills by VectorSpaceLab

"Prepare Pytorch-UNet segmentation datasets and training runs,

"Use Pytorch-UNet model architecture and checkpoint APIs for binary

"Use Pytorch-UNet prediction, mask conversion, evaluation, and Dice

"Routes PyTorch-VAE tasks to config-driven training and model API

"Explains PyTorch-VAE model constructors, registry lookups,

"Guides config-driven PyTorch-VAE training, dry-runs, data layout

"Use Pytorch-Wildlife for conservation AI workflows involving

"Prepare, train, and run passive-acoustic wildlife classifiers with

"Route and execute PytorchWildlife wildlife image-classification

"Load PytorchWildlife image folders, apply inference transforms,

"Operate Pytorch-Wildlife image detectors for camera-trap and

"Use the legacy Pytorch-Wildlife companion workflows to validate

"Route pytorch-yolo-v3 Darknet cfg, image detection, video camera

"Guide pytorch-yolo-v3 image and directory detection,

"Inspect and adapt pytorch-yolo-v3 Darknet model configuration,

"Guide safe video-file, webcam, and optional half-precision demo

"Use PyTracking and LTR for visual object tracking, video object

"Analyze saved PyTracking tracking/VOS results, plan plots, package

"Configure, launch, and modify PyTracking LTR training settings for

"Implement, adapt, and debug PyTracking tracker packages and

"Configure and run PyTracking trackers on datasets, videos,

"Routes pyts time-series loading, preprocessing, symbolic encoding,

"Routes pyts dataset loading, cached toy datasets, synthetic

"Routes pyts feature extraction, image transforms, and

"Routes pyts DTW, lower-bound, and time-series classifier workflows

"Routes pyts multivariate transformer, classifier, image, and

"Routes pyts sample-wise preprocessing, approximation, symbolic

"Routes PyWavelets users to discrete transforms, wavelet-family and

"Routes PyWavelets users through DWT, IDWT, multilevel transforms,

"Routes PyWavelets users through 1D, 2D, and ND wavelet packet tree

"Routes PyWavelets users through wavelet-family inspection, custom

"Use the Python qdrant-client package for Qdrant vector database

"Use AsyncQdrantClient for awaitable Qdrant collection, point,

"Use sync QdrantClient for collections, point writes, universal

"Configure qdrant-client server and cloud connections, REST versus

"Use qdrant-client inference with FastEmbed local embeddings or

"Use qdrant-client local in-memory and persistent stores for safe

"Use qdrant-client bulk upload and collection migration helpers for

"Use qdrant_client.models, REST model classes, REST/gRPC

"Guides public Qiskit Machine Learning workflows for quantum

"Train, evaluate, persist, and troubleshoot Qiskit Machine Learning

"Operate Qiskit Machine Learning's built-in datasets, circuit

"Evaluate, configure, and train Qiskit Machine Learning

"Select, configure, run, and troubleshoot Qiskit Machine Learning

"Construct, execute, differentiate, and troubleshoot Qiskit Machine

"Routes agents across Qiskit's circuit, transpiler, primitives,

"Guides agents locating Qiskit C headers and library, using

"Guides agents building and editing QuantumCircuit objects,

"Guides agents using StatevectorSampler, StatevectorEstimator,

"Guides agents using Qiskit BackendV2, Options, Job abstractions,