Claude Skills by VectorSpaceLab

"Extend SGLang model support, model configs, custom serving paths,

"Work safely inside the SGLang checkout with source layout,

"Launch and debug SGLang serving runtime, OpenAI-compatible APIs,

"Guide visual object tracking work with the SiamTrackers

"Test NanoTrack-compatible trackers on named datasets, validate

"Export, profile, and prepare NanoTrack split backbone/head models

"Build and run NanoTrack V1/V2/V3 for stateful image or video

"Plan, validate, launch, monitor, and safely resume NanoTrack

"Route natural tracker-variant requests in SiamTrackers,

"Routes metric-learning workflows for the Siamese-triplet PyTorch

"Routes dataset-wrapper and batch-sampling tasks for SiameseMNIST,

"Routes embedding-network, contrastive-loss, triplet-loss, and

"Routes shared training-loop, metric, and notebook-experiment tasks

"Routes SiamMask visual object tracking, segmentation, benchmark

"Guides SiamMask benchmark and training data acquisition, layout

"Guides SiamMask demo, benchmark tracking, VOT/DAVIS/YouTube-VOS

"Guides CUDA-only SiamMask base/refine and SiamRPN training,

"Routes SimpleCV users to legacy install, image processing,

"Guides SimpleCV camera acquisition, virtual cameras, display

"Guides SimpleCV blob, line, corner, template, Haar, keypoint,

"Guides SimpleCV Image, ImageSet, color, drawing, transform, DFT,

"Guides SimpleCV legacy classifier wrappers, feature extractors,

"Guides SimpleCV color, difference, running, MOG segmentation,

"Use SimpleTuner for diffusion model training, dataloaders,

"Author, validate, and troubleshoot SimpleTuner dataloader and

"Choose SimpleTuner model families, adapters, LoRA formats,

"Contributor guidance for SimpleTuner planning, tests, docs,

"Plan and safely launch SimpleTuner training workflows across CLI

"Operate SimpleTuner WebUI, REST API, local job queue, workers,

"Guides SimpleDet MXNet object detection and instance-recognition

"Guides SimpleDet annotation conversion and roidb validation for

"Guides SimpleDet config-driven training, bbox and mask evaluation,

"Guides SimpleDet symbolic detector composition, config-first model

"Guides SimpleDet's legacy MXNet environment setup, Cython

"Use SimpleITK for medical-image IO, image metadata, NumPy

"Install SimpleITK binaries, choose source or SuperBuild builds,

"Apply SimpleITK filters for smoothing, thresholding, morphology,

"Work with SimpleITK Image objects, spatial metadata,

"Read and write SimpleITK images and transforms, choose ImageIO

"Configure SimpleITK transforms, resampling,

"Use Simple Transformers package workflows for NLP classification,

"Use Simple Transformers classification APIs for text,

"Use Simple Transformers language modeling, language generation,

"Use Simple Transformers representation, dense retrieval, DPR,

"Use Simple Transformers NER/token-classification and extractive

"Operate SketchCode legacy wireframe-to-HTML workflows: conversion,

"Convert SketchCode PNG wireframes to GUI DSL and HTML,

"Compute and interpret SketchCode BLEU scores for single or batch

"Prepare, validate, and train SketchCode paired PNG/GUI datasets,

"Route public skrl 2.1.0 reinforcement-learning workflows across