Claude Skills by VectorSpaceLab

"Configure and troubleshoot VSE subtitle post-processing, typo

"Use and troubleshoot VSE's bundled Sushi subtitle timeline

"Guides Viseron self-hosted NVR deployment, camera recording,

"Guides Viseron MQTT/Home Assistant automation, webhooks,

"Guides Viseron camera ingestion, stream command construction,

"Guides Viseron installation, container deployment, configuration

"Guides Viseron motion detection, object detection,

"Guides contributors modifying or extending Viseron components,

"Route Visual Pushing and Grasping workflows for RGB-D robotic

"Validate completed Visual Pushing and Grasping sessions and

"Route RGB-D projection, heightmap construction, rigid transforms,

"Route guarded UR5 and RealSense physical workflows for Visual

"Route the historical V-REP/CoppeliaSim simulation workflows for

"Route VPG model, training, testing, and resume work for reactive

"Routes vit-pytorch Vision Transformer model construction,

"Routes vit-pytorch 2D image classification backbones,

"Routes vit-pytorch attention recording, embedding extraction,

"Routes vit-pytorch loss wrappers, self-supervised pretraining

"Routes vit-pytorch variable-resolution NaViT batches, nested

"Routes VITS text-to-speech workflows for data preparation,

"Routes VITS dataset preparation, filelist cleaning, and

"Routes VITS text-to-speech synthesis and voice-conversion tasks

"Routes VITS LJ Speech and VCTK training, checkpoint resume, and

"Use Vizro to build, validate, debug, extend, and maintain

"Choose, author, and troubleshoot Vizro charts, figures, tables,

"Compose Vizro pages with components, data, filters, selectors,

"Build, validate, run, and troubleshoot Vizro dashboards in Python

"Use and maintain Vizro Dash Components, including

"Use and maintain vizro-experimental chat model and floating popup,

"Maintain and inspect the deprecated vizro-ai chart agent, response

"Use and maintain Vizro-MCP FastMCP server workflows for dashboard

"Work safely in the Vizro monorepo: package layout, Hatch commands,

"Guides VLA-Adapter tiny-scale vision-language-action model setup,

"Guides VLA-Adapter inference servers, MsgPack or JSON action

"Guide VLA-Adapter LIBERO and CALVIN evaluation, command

"Explains VLA-Adapter Prismatic/VLA APIs, robot constants,

"Install dependencies, place pretrained VLM/checkpoints, and

"Builds VLA-Adapter fine-tuning plans and safe torchrun commands

"Use vLLM-Omni for omni-modality model inference and serving: local

"Extend vLLM-Omni with custom diffusion pipelines, model

"Select vLLM-Omni model families, endpoints, diffusion controls,

"Use vLLM-Omni local Python APIs for offline Omni and AsyncOmni

"Operate vLLM-Omni HTTP serving, --omni CLI routing,

"Inspect and tune vLLM-Omni deploy YAMLs, stage placement,

"Route vLLM tasks across offline inference, OpenAI-compatible

"Deployment topology, parallelism, memory planning, quantization,

"Handle vLLM multimodal payloads, media allowlists, LoRA/prompt

"Use vLLM from Python for local/offline LLM workflows with LLM,

"Use for vLLM OpenAI-compatible serving workflows: vllm

"Use this vLLM sub-skill for structured outputs, JSON/regex/grammar