Claude Skills by VectorSpaceLab

"Prepare, inspect, and safely adapt MedicalDetectionToolkit array

"Use the MedicalDetectionToolkit Predictor, post-processing,

"Select and reason about MedicalDetectionToolkit detector families,

"Route medical and biomedical research requests across the aipoch

"Supports evidence-disciplined medical manuscript, review,

"Route and supervise clinical, biomedical, omics, imaging,

"Routes medical-research requests involving literature discovery,

"Route general medical utilities, privacy-sensitive operations,

"Routes biomedical research questions into ethically aware,

"Use Medical-SAM-Adapter to prepare medical segmentation inputs,

"Prepare Medical-SAM-Adapter data, checkpoints, and CUDA

"Evaluate Medical SAM Adapter checkpoints through in-training

"Operate the documented MobileSAMv2 object-aware image inference

"Operate CUDA-based train.py adaptation runs for Medical SAM

"Operate MedicalZooPytorch 3D medical image segmentation, data

Route the 2D COVID chest X-ray and CT classification branch.

"Prepare, inspect, and smoke-test MedicalZooPytorch dataset

"Operate MedicalZooPytorch loss and metric APIs for segmentation

"Operate MedicalZooPytorch 3D segmentation model selection,

"Use MedMNIST for standardized 2D and 3D biomedical image dataset

"Load, inspect, and validate MedMNIST 2D and 3D datasets from local

"Evaluate MedMNIST predictions and export 2D or 3D datasets safely,

"Use MedRAX for chest-X-ray reasoning workflows, selective

"Initialize, configure, and safely exercise the MedRAX LangGraph

"Run a bounded ChestAgentBench or Eurorad multimodal evaluation

"Operate MedRAX chest-X-ray classification, segmentation, report,

"Prepare, validate, convert, and display chest X-ray image inputs

"Operate and safely adapt the MedRAX Gradio chat interface around

"Guide MedSegDiff medical-image segmentation workflows for dataset

"Prepare and validate ISIC, BRATS, and custom 2D/3D

"Operate MedSegDiff checkpoint inference and image-based

"Inspect and operate the MedSegDiff segmentation training workflow,

"Verified operating guidance for Megatron-LM and Megatron Core

"Work with Megatron distributed checkpoints, safe loading,

"Use Megatron Core model APIs, process groups, and parallelism/FSDP

"Use Megatron-LM offline inference, high-level LLM APIs,

"Install, inspect, and troubleshoot Megatron Core and Megatron-LM

"Route optional Megatron ModelOpt, RL/GRPO, VLM, and

"Megatron-LM repository testing, CI, golden-value, formatting, PR,

"Build Megatron-LM training commands, data preprocessing flows,

"Use Mellea to build, test, serve, evaluate, instrument, and extend

"Configures and debugs Mellea inference backends, model

"Use Mellea 0.8.0.dev0 to build typed, composable generative

"Operate and extend Mellea 0.8 observability safely across plugins,

"Use Mellea 0.8.0.dev0 sampling, requirements, verifiers,

"Operate Mellea 0.8.0.dev0's m CLI and OpenAI-compatible server

"Defines, audits, executes, and composes Mellea 0.8.0.dev0 tools

"Use MemMachine to build, configure, troubleshoot, and integrate

"Use MemMachine framework integrations and migration tooling for

"Use the MemMachine Python SDK and CLI for project context, memory