Claude Skills by VectorSpaceLab

"Use deep-daze for CLIP-guided Siren image generation through the

"Use the deep-daze imagine CLI for text, image, story, priming,

"Programmatic Deep Daze API use for Imagine and DeepDaze

"Runtime, dependency, CLIP model, cache, backend, and inspection

"Route DeepFilterNet speech enhancement, Python API/CLI, training

"Operate DeepFilterNet ONNX export, exported-artifact validation,

"Use DeepFilterNet's installed Python CLI/API for enhancement,

"Plan and troubleshoot DeepFilterNet Rust binaries, LADSPA/PipeWire

"Prepare and validate DeepFilterNet training datasets, dataset

"Use the DeepGCNs PyTorch operating guide for graph convolution

"Construct and troubleshoot the repository's sparse and dense graph

"Run and adapt the repository's OGB node, graph, and link benchmark

"Operate the DeepGCNs point-cloud workflows for ModelNet40

"Operate the DeepGCNs PPI node-classification workflow with exact

"Guides DeepMotionEditing BVH animation, skeleton-aware motion

"Inspect and validate deep-motion-editing animation data: BVH

"Guides Deep Motion Editing Blender BVH loading, Eevee/Cycles

"Routes Mixamo or custom BVH preparation, intra- and

"Route pretrained 3D-to-3D and OpenPose JSON-to-3D motion style

"Route Torchreid deep-person-reid workflows for person

"Route Torchreid feature extraction, model discovery/building,

"Routes Torchreid checkpoint export to ONNX, OpenVINO, and

"Train, evaluate, configure, and inspect Torchreid data workflows

"Route and use the repository's PyTorch reinforcement-learning

"Route and operate the repo's DDPG, SAC, TD3 continuous-action

Router for REINFORCE, baseline, actor-critic, A2C, and PPO workflows.

"Work with the repo's toy tabular RL workflows: Q-learning, Sarsa,

"Use the repository's Char01 DQN family for discrete Gym control:

"Operate Tongyi DeepResearch and its WebAgent family: ReAct

"Validate DeepResearch benchmark rollout files and choose official

"Configure, validate, and troubleshoot Tongyi DeepResearch ReAct

"Route DeepResearch/WebAgent family tasks to the right variant,

"Route DeepSearcher workflows for provider setup, data ingestion,

"Use DeepSearcher through the console command or bundled FastAPI

"Load local files, directories, and websites into DeepSearcher

"Plan, validate, and safely run DeepSearcher retrieval evaluations,

"Configure DeepSearcher providers, provider dictionaries,

Use and troubleshoot DeepSearcher query, retrieve, and RAG agent workflows.

"Route Deepchecks package tasks for ML data/model validation across

"Route Deepchecks NLP work for TextData, labels, metadata,

"Use for Deepchecks result export, JSON recovery, CI gating, pytest

"Build Deepchecks tabular Dataset objects, suites, checks, model

"Wrap image data in VisionData, adapt loaders to BatchOutputFormat,

"Use DeepChem for molecular machine learning, data loading,

"Load user data into DeepChem datasets, split datasets, apply

"Handle DeepChem protein-ligand docking, binding pocket discovery,

"Choose, run, validate, and troubleshoot DeepChem featurizers for

"Train and evaluate DeepChem models; choose metrics, model

"Use this DeepCTR repo skill for CTR/recommender feature columns,

"Use this DeepCTR sub-skill for SparseFeat, DenseFeat,