Claude Skills by VectorSpaceLab

"Operate AlphaGPT live strategy, risk, portfolio state, STOP

"Route AlphaFold protein structure prediction setup, data

"Plan AlphaFold Docker execution, database/model-parameter

"Validate AlphaFold FASTA, MSA, template, notebook, and

"Inspect and modify AlphaFold model presets, RunModel

"Inspect AlphaFold output folders, confidence JSON, ranked

"Guide local AlphaFold prediction CLI workflows, flags, presets,

"Guide AlphaFold Amber/OpenMM relaxation, AmberRelaxation APIs,

"Guide alphafold2-pytorch protein sequence, MSA, distogram,

"Guide construction and execution of the verified Alphafold2

"Guides ESM, MSA Transformer, ProtTrans/ProtBERT, and precomputed

"Guide coordinate prediction, IPA structure refinement, confidence

"Use alphafold2_pytorch utilities to validate and transform protein

"Use AlphaFold 3 PyTorch for protein and biomolecular

"Operate the alphafold3_pytorch CLI and alphafold3_pytorch_app

"Prepare and validate AlphaFold 3 mmCIF/PDB, MSA, template, crop,

"Build, validate, batch, serialize, and export AlphaFold 3 molecule

"Construct bounded AlphaFold 3 models, choose forward loss or

"Configure AlphaFold 3 training datasets, Trainer/DataLoader

"Use this skill for AlphaFold 3 input preparation, prediction

"Build, validate, convert, and troubleshoot AlphaFold 3 input JSON

"Explain and validate AlphaFold 3 output directories,

"Use when coding against AlphaFold 3 Python internals for input

"Plan and run AlphaFold 3 predictions via Docker or local Python,

"Use AnnData to build, inspect, combine, store, lazily read, and

"Use anndata reference accessors for validation, plotting, data

"Combine AnnData objects in memory or on disk with concat,

"Construct, inspect, validate, slice, copy, and mutate in-memory

"Read, write, choose, inspect, and troubleshoot AnnData H5AD/Zarr

"Use anomalib for anomaly-detection install, data/model selection,

"Data modules, datasets, dataclasses, model registry, constructors,

"Export trained anomalib models and run runtime inference with

"Covers Anomalib installation choices, the install subcommand, CLI

"Use for Anomalib benchmark pipelines, tiled ensemble workflows,

"Use for Anomalib's Engine fit/train/test/validate flow, metrics,

"Use ANTsPy/antspyx for medical image IO, ANTsImage metadata, image

"Create, read, write, inspect, clone, index, compare, and validate

"Use ANTsPy image operations for smoothing, resampling, masking,

"Use ANTsPy statistical learning and deep-learning helper utilities

"Register ANTsPy images and manage transform application, transform

"Use ANTsPy segmentation and label workflows for Atropos, k-means,

"Plot, render, convert channels/RGB, matrix/image data, and

Routes AnyDoor zero-shot object-level image customization workflows.

Prepares AnyDoor datasets, preprocessing, training, and weight conversion.

Runs AnyDoor image generation, demo, and prediction workflows.

Prepares AnyDoor environments, checkpoints, and config paths.

"Guides Any4LeRobot dataset conversions, LeRobot-to-RLDS export,

"Routes AgiBotWorld raw-tree conversion requests to LeRobot,

"Explains the reusable BaseAdapter and ConversionTask contract and

"Guides conversion of LIBERO HDF5 task demonstrations into LeRobot