Claude Skills by VectorSpaceLab

"Store and inspect Sacred run metadata, artifacts, resources,

Keep Sacred runs reproducible and diagnose runtime capture/settings behavior.

"Route SageMaker Python SDK v3 tasks to self-contained guidance for

"Use SageMaker Python SDK v3 core resources for sessions, URI

"Use SageMaker Python SDK v3 MLOps workflows for Pipeline

"Use SageMaker Python SDK v3 foundation-model customization,

"Use SageMaker Python SDK v3 serving workflows for ModelBuilder,

"Use SageMaker Python SDK v3 training workflows with ModelTrainer,

"Route SAHI sliced object-detection inference, model integration,

"Guide SAHI annotation, prediction result, mask, COCO export,

"Guide SAHI COCO dataset creation, slicing, filtering, conversion,

"Route SAHI model loading across supported detector and segmenter

"Guide SAHI NMS/NMM backend selection, match metrics, class-aware

"Guide SAHI standard and sliced prediction APIs, CLI commands,

"Use and maintain Sana image, video, training, evaluation, and

"Plan Sana metrics, checkpoint conversion/export, Hugging Face

"Plan and troubleshoot Sana image generation workflows across

"Plan Sana training data schemas, config overrides, launch

"Plan and troubleshoot Sana video-generation, long-video,

"Repo-specific guidance for ScaledYOLOv4 data preparation,

"Dataset YAMLs, label layout, augmentation, anchor planning,

"Standalone validation, COCO metrics, study sweeps, and result

TorchScript, ONNX, and CoreML export planning for ScaledYOLOv4.

Image, video, webcam, and stream detection workflows for ScaledYOLOv4.

"Training, fine-tuning, distributed launch, checkpointing, logging,

"Use for Scanpy single-cell analysis workflows: AnnData IO,

"Use Scanpy optional integrations, scanpy.external wrappers,

"Design and debug Scanpy neighborhood graphs, embeddings,

"Use when working with Scanpy input/output, AnnData persistence,

"Use for Scanpy sc.pl plotting, figure saving, headless rendering,

"Use Scanpy preprocessing for filtering, QC metrics,

"Use Scenic, Google Research's JAX/Flax computer-vision research

"Choose and safely operate Scenic baselines and project-specific

"Use and debug Scenic dataset registry, dataset configs, input

"Understand Scenic model registry contracts, BaseModel task bases,

"Run, validate, and troubleshoot Scenic app/config/training

"Use SchNetPack for atomistic machine-learning datasets, Hydra

"Create, inspect, convert, split, and validate SchNetPack atomistic

"Run trained SchNetPack models through ASE calculators, ensemble

"Build, inspect, customize, and troubleshoot SchNetPack atomistic

"Construct and troubleshoot SchNetPack spktrain and spkpredict

"Maintains the Scientific Agent Skills repository: adding or

"Plans and triages Scientific Agent Skills security scans using

"Creates and updates canonical Agent Skills in the Scientific Agent

"Selects and runs Scientific Agent Skills repository validation and

"Use scikit-bio for bioinformatics sequences, alignments,

"Compute scikit-bio community diversity metrics and prepare

"Use scikit-bio IO registry formats and metadata objects for

"Construct, transform, compare, and align scikit-bio biological

"Run scikit-bio distance-matrix statistics, ordination,