Claude Skills by VectorSpaceLab

"Install and validate pix2pixHD prerequisites, dataset layout,

"Understand pix2pixHD training, checkpointing, debug mode, memory

"Use PixelRAG for visual document RAG: screenshot capture, visual

"Use PixelRAG evaluation scripts and paper reproduction harnesses

"Use PixelRAG to build visual retrieval indexes from rendered

"Use PixelRAG pixelshot and pixelrag_render to capture URLs, PDFs,

"Use PixelRAG serve and search APIs for FAISS or Qdrant visual

"Use PixelRAG's separate training project, released LoRA adapters,

Route Plexe model-building, retraining, and dashboard workflows.

Route Plexe's dashboard and workdir inspection workflow.

Route Plexe's build, resume, retrain, and packaging workflow.

"Guide Python time-series forecasting with pmdarima, including

"Inspect pmdarima's built-in time-series datasets, validate target

"Fit, search, diagnose, and forecast fixed-order or automatic

"Evaluate ordered pmdarima forecasts with sequential holdouts,

"Persist, reload, update, and forecast pmdarima ARIMA models and

"Configure pmdarima target transforms, Fourier and date regressors,

"Use PocketFlow for TensorFlow 1.x model compression, learner

"Select and configure PocketFlow full-precision, distillation,

"Add or adapt PocketFlow datasets, ModelHelper classes, built-in

"Export PocketFlow checkpoints to GraphDef or TensorFlow Lite,

"Install PocketFlow, validate path.conf, preview safe launcher

"Use PocketFlow, a tiny Python graph framework for LLM

"Use PocketFlow's core graph runtime: Node, Flow, BatchNode,

"Use PocketFlow to design LLM apps and agentic workflows with

"Use PocketFlow utility patterns for LLM wrappers, search,

"Use the legacy PointCNN TensorFlow 1.x repository to build X-Conv

"Route and validate PointCNN TensorFlow 1.x graph-mode

"Build and adapt PointCNN X-Conv and X-DeConv graphs, pointfly

"Prepare, inspect, validate, and troubleshoot PointCNN

"Route PointCNN prediction inspection, block merging, benchmark

"Route legacy PointCNN TensorFlow 1.x graph-mode segmentation

"Guide PointLLM point-cloud language-model installation, data

"Prepare and validate PointLLM Objaverse and ModelNet point-cloud

"Run and interpret PointLLM Objaverse and ModelNet40 evaluations,

"Run PointLLM point-cloud chat, batched generation, and the Gradio

"Configure and safely operate PointLLM's two-stage training

"Route PointNet2 TensorFlow 1 workflows across classification, part

"Build, validate, and troubleshoot PointNet2 ModelNet40

"Shared PointNet2 TensorFlow layer APIs, PointNet++

"ShapeNetPart part-segmentation training, evaluation, inference,

"ScanNet semantic scene parsing workflows for the PointNet2

"Guides pomegranate probabilistic modeling workflows:

"Guides pomegranate KMeans clustering workflows, including centroid

"Guides pomegranate distribution workflows, including Normal,

"Guides pomegranate BayesianNetwork and FactorGraph workflows,

"Guides pomegranate GeneralMixtureModel and BayesClassifier

"Guides pomegranate sequence workflows with MarkovChain, DenseHMM,

"Operate Picovoice Porcupine wake-word detection across Python,

"Operate Porcupine from C and embedded/MCU targets: native linking,