Claude Skills by VectorSpaceLab

"Choose and prepare WeNet runtime deployment paths for libtorch,

"Run and adapt WeNet training recipes, checkpoint averaging,

"Operate WhisperX speech transcription, forced alignment,

"Guides WhisperX forced alignment, multilingual alignment model

"Use WhisperX's Python API for ASR model loading, audio arrays,

"Use WhisperX diarization APIs and safe offline speaker-label

"Use WhisperX output writers and subtitle post-processing without

"Command-line WhisperX transcription workflows, safe command

"Routes the legacy Generative Models script collection for GAN,

"Routes legacy GAN-family MNIST scripts, framework choices, model

"Routes the legacy binary Helmholtz Machine wake-sleep example,

"Routes legacy binary RBM examples, CD versus PCD decisions,

"Routes legacy VAE-family MNIST scripts, backend choices, model

"Guides WorldGen workflows for generating 3D scenes from text,

"Generate WorldGen 3D scenes from text, images, or equirectangular

"Use WrenAI and Wren Engine for governed semantic SQL, MDL

"Guide Wren CLI-served agent workflow guides, discovery-stub

"Guide Wren CLI project setup, MDL authoring, profiles, connection

"Guide Wren core engine, wren_core Python bindings, Rust and PyO3

"Guide Wren GenBI applications, MCP server setup, browser-side

"Guide Wren project knowledge, business rules, NL-to-SQL memory,

"Guide Wren governed SQL and cube queries, dry-plan and dry-run

"Guide Wren LangChain, LangGraph, and Pydantic AI integrations

"Use X-AnyLabeling for AI-assisted visual and multimodal

"Operate X-AnyLabeling GUI annotation setup, XLABEL editing,

"Use and troubleshoot X-AnyLabeling AI-assisted model configs,

"Use X-AnyLabeling's conversion CLI and LabelConverter API to

"Operate X-AnyLabeling developer workflows for training, packaging,

"Route x-transformers transformer construction, sequence wrappers,

"Base text and vision transformer constructors, attention flags,

"Routes x-transformers wrapper, generation, continuous, latent,

"Operate x-transformers training recipe examples safely: catalog

"Route xTuring dataset preparation, model loading and inference,

"Route xTuring command-line chat, FastAPI serving,

"Prepare, validate, convert, and self-generate xTuring datasets for

"Enable built-in perplexity evaluation with `model.evaluate` and

"Route xTuring model selection, loading, saving, generation, and

"Fine-tune and align xTuring causal models with supervised

"Use Xinference for local and distributed model serving, Python

"Use Xinference sync and async Python clients, model handles, and

"Select, validate, and troubleshoot Xinference model families,

"Operate and secure Xinference deployment surfaces, including

"Launch and operate Xinference services and model lifecycles

"Guides DragGAN and StyleGAN-Human workflows for interactive

"Guides DragGAN desktop and Gradio point-based image manipulation,

"Guides DragGAN and StyleGAN-Human batch generation, interpolation,

"Guides StyleGAN-Human alignment, background preprocessing, PTI

"Guides StyleGAN-Human SHHQ training with the bundled

"Operate the legacy TensorFlow 1.x XLNet repository for model APIs,

"Construct and adapt XLNet run_classifier.py classification and