
Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab"Select and validate the legacy runtime, dependencies, and setup
"Build and debug MUNIT single-image, example-guided, batch
"Explain MUNIT trainer, generator, discriminator, and porting
"Construct safe MUNIT and UNIT training commands and diagnose
"Guides MuZero General model-based reinforcement learning
"Inspects and troubleshoots MuZero General checkpoints, replay
"Selects, validates, and adapts MuZero General games, MuZeroConfig
"Inspects and debugs MuZero General networks, tensor shapes,
"Runs and troubleshoots MuZero General CLI, Python API, Ray
"Route Microsoft Muzic research workflows for music understanding,
"Route DeepRapper, SongMASS, TeleMelody, ReLyMe, and ROC
"Configure and operate Muzic MusicAgent safely: install
"MusicBERT symbolic understanding, PDAugment lyrics-transcription
"Route GETMusic, MuseCoco, Museformer, MeloForm, and EmoGen
"Use Mycodo for Raspberry Pi environmental regulation,
"Use Mycodo REST API authentication, versioned endpoints, Pyro
"Author, validate, import, update, and troubleshoot Mycodo custom
"Maintain Mycodo source, tests, docs, API, database migrations,
"Configure Mycodo environmental-control workflows using Inputs,
"Install, operate, diagnose, back up, restore, upgrade, and
"Use MyoSuite's MuJoCo musculoskeletal environments, task registry,
"Discover, select, and safely control MyoSuite Gymnasium
"Route optional MyoSuite JAX/MJX acceleration work: probe
"Transform MuJoCo model specs safely and solve site-pose inverse
"Load, classify, interpolate, validate, and safely inspect MyoSuite
"Use for MuJoCo model loading, simulation state and time
"Plan, validate, and hand off optional MyoSuite policy evaluation
"Use NannyML to monitor tabular ML models with performance
"Run NannyML from the command line, load config files, schedule
"Prepare NannyML reference/analysis data, choose chunking and
"Detect and interpret NannyML feature, output, target, and
"Estimate and calculate NannyML model performance for
"Use nano-graphrag for lightweight GraphRAG indexing, querying,
"Operate nano-graphrag's core GraphRAG lifecycle: construct
"Customize nano-graphrag prompts, JSON repair, entity extraction,
"Configure nano-graphrag LLM and embedding providers safely,
"Choose, configure, validate, and troubleshoot nano-graphrag
"Use nano-vLLM for CUDA-backed offline Qwen3 text generation,
"Maintain and diagnose nano-vLLM internals, including Qwen3
"Use nano-vLLM for CUDA-backed offline Qwen3 generation from local
"Tune nano-vLLM batching, KV-cache capacity, CUDA graph/eager
"Routes NanoDet users to dataset/config, training/evaluation, and
"Routes NanoDet dataset, preprocessing, and config-validation
"Routes NanoDet image/video/webcam inference, checkpoint export,
"Routes NanoDet training, validation, checkpoint, logging,
"Use NAVSIM v2 for autonomous-driving agent development, OpenScene
"Implement and debug NAVSIM rule-based, privileged, learned,
"Evaluate NAVSIM trajectories with cached metrics, one-stage or
"Set up NAVSIM v2 dependencies and workspace data, select a
"Route NAVSIM learned-agent training plans, feature and target