Claude Skills by VectorSpaceLab

"Routes tslearn users to data preparation, metrics/backends,

"MatrixProfile, STUMPY-backed alternatives, and estimator

"Cluster time series with TimeSeriesKMeans, KernelKMeans, KShape,

"Format, load, cache, generate, preprocess, synchronize, and

"Fit, predict, and diagnose tslearn VARIMA and AutoVARIMA

"Guides tslearn metric, backend, autodiff, performance-metric, and

"Supervised time-series workflows for k-NN, GAK SVM/SVR, early

"Use Coqui TTS for released-model inference, the tts and tts-server

"Use Coqui TTS Python APIs and model registry for released-model

Operate Coqui TTS installed console commands and the safe local demo server.

"Prepare Coqui TTS datasets, Coqpit configs, tokenizer or

"Use Coqui TTS vocoder configs, training routes, and safe audio

"Use FreeVC voice conversion and TTS-with-VC voice cloning in Coqui

"Use TurboDiffusion for accelerated Wan video generation,

"Diagnose and choose TurboDiffusion CUDA custom-op, INT8/FastNorm,

"Operate TurboDiffusion's interactive T2V/I2V terminal server with

"Operate TurboDiffusion rCM/SLA training setup, dry-run command

"Plan TurboT2AV text-to-audio-video extension setup, checkpoints,

"Build and validate one-shot TurboDiffusion Wan T2V/I2V inference

"Guides Apache TVM install/build, Relax compilation, TIRx kernel

"Guides Apache TVM source/PyPI installation, CMake/LLVM builds,

"Guides TVM Relax IR construction/import, optimization pipelines,

"Guides TVM RPC tracker/server/proxy setup, cross-compilation,

"Guides TVM S-TIR scheduling, transformations, dlight rules,

"Guides TVM TIRx kernel authoring, execution scopes, layouts, tile

"Use txtai for semantic search, embeddings databases, RAG, LLM

"Build txtai LLM, RAG, and Agent workflows with backend selection,

"Configure and deploy txtai Application/API services,

"Build, query, maintain, and troubleshoot txtai embeddings

"Compose deterministic txtai pipelines and workflows for

"Route U-2-Net salient object detection, human segmentation,

"Route U-2-Net dataset validation, transform inspection, and safe

"Understand and safely smoke-test U-2-Net model variants, side

"Run U-2-Net portrait drawing, own-image face-crop portrait

"Run U-2-Net salient object and human segmentation inference from

"Routes Ultra-Fast-Lane-Detection workflows for data preparation,

"Routes CULane and TuSimple dataset preparation, config overrides,

"Routes Ultra-Fast-Lane-Detection checkpoint evaluation, TuSimple

"Routes Ultra-Fast-Lane-Detection TorchScript export, synthetic

"Routes Ultra-Fast-Lane-Detection training, checkpoint, resume,

"Routes UltraRAG pipeline orchestration, MCP server workflows, and

"Routes UltraRAG pipeline build, run, and recipe workflows,

"Routes UltraRAG MCP server workflows, backend choices, and

"Routes UltraRAG UI, chat, knowledge-base, memory, and storage

"Use this skill for Ultralytics YOLO package workflows: CLI/Python

"Author and validate Ultralytics dataset YAMLs, translate Python

"Export, benchmark, and route Ultralytics YOLO models to deployment

"Use this sub-skill for Ultralytics YOLO predict workflows, source

"Choose the correct Ultralytics model class, family, task, model

"Use this sub-skill for maintainer-facing Ultralytics repository