Claude Skills by VectorSpaceLab

"Recognizer engine selection and transcription APIs for

"Maintainer workflow guidance for editing SpeechRecognition source,

"Operate and troubleshoot Hugging Face speech-to-speech, a modular

"Run, deploy, and modify the speech-to-speech browser demo,

"Operate speech-to-speech from the Python CLI, choosing serve,

"Choose, configure, and troubleshoot speech-to-speech VAD, STT,

"Use and debug speech-to-speech's OpenAI Realtime-compatible

"Guides SpeechBrain package use, pretrained inference, recipes,

"Guides SpeechBrain model components, decoders, losses, metric

"Guides SpeechBrain audio I/O, DynamicItemDataset and DataPipeline

"Guides SpeechBrain pretrained inference interfaces, Hugging Face

"Guides SpeechBrain recipe and template training workflows,

"Guides SpeechBrain repository maintenance, focused tests, recipe

"Helps with Spektral graph neural network workflows, from graph

"Guides Spektral graph neural network layers, pooling, ready-made

"Guides Spektral graph containers, datasets, transforms, data

"Operate the SpikingJelly package for SNN modeling, datasets,

"ANN-to-SNN conversion workflows for CNNs and Transformers,

"Teach and debug SpikingJelly activation-based core SNN modeling:

"Load, preprocess, integrate, transform, and debug SpikingJelly

"Teach NIR export/import plus Lava and Lynxi deployment exchange

"Use SpikingJelly CUDA/CuPy/Triton backends, FlexSN, precision

"Teach SpikingJelly model-zoo image classification, train_classify

"Route SPLADE sparse retrieval tasks across Hydra pipelines, HF

"Build safe SPLADE HuggingFace Trainer, reranker-training, rerank,

"Construct, debug, and explain classic SPLADE Hydra workflows for

"Inspect SPLADE model, data, index, and inference APIs plus

"Export SPLADE vectors for Anserini, prune Anserini-style JSONL,

"Routes agents working with SplaTAM RGB-D SLAM, Gaussian-splat

"Guides SplaTAM iPhone and NeRFCapture live capture, DDS streaming,

"Guides SplaTAM offline RGB-D SLAM, reconstruction config edits,

"Route Spleeter source-separation CLI, Python API, training, and

"Evaluate Spleeter models on MUSDB-style datasets, dependency

"Guides Spleeter pretrained music source separation with CLI and

"Train and validate custom Spleeter source-separation models with

"Use Squidpy for spatial omics data loading, graph statistics,

"Load Squidpy datasets and local spatial inputs with safe cache,

"Use Squidpy experimental SpatialData image APIs for tissue masks,

"Build Squidpy spatial neighbor graphs and run graph/statistical

"Use stable Squidpy image APIs for ImageContainer storage,

"Use Squidpy tool-layer workflows for sliding windows,

"Render Squidpy plots for spatial overlays, segmentation, graph

Router for SSD300, SSD512, and SSD7 Keras detection workflows.

"Route for SSD Keras dataset parsing, validation, augmentation, and

Route for SSD Keras inference, decoding, visualization, and evaluation.

Route for SSD Keras model building, compilation, training, and fine-tuning.

"Operate the amdegroot SSD.PyTorch repository for SSD300 model

"Validate datasets, understand augmentation, and plan SSD.PyTorch

"Plan VOC evaluation, test-output inspection, notebook demos, and

"Construct, inspect, and troubleshoot SSD300 model inference