fastmonai-upstream-guide
openbooklet.com/s/fastmonai-upstream-guideopenbooklet.com/s/fastmonai-upstream-guide@1.0.0GET /api/v1/skills/fastmonai-upstream-guideConsult MONAI, TorchIO, and nnU-Net documentation and source code for implementation guidance in fastMONAI. Use this skill proactively when implementing new transforms, loss functions, metrics, preprocessing pipelines, or patch-based workflows. Helps ensure fastMONAI implementations align with upstream library patterns and medical imaging best practices.
Consult official Claude Code documentation from docs.claude.com using selective fetching. Use this skill when working on Claude Code hooks, skills, subagents, MCP servers, or any Claude Code feature that requires referencing official documentation for accurate implementation. Fetches only the specific documentation needed rather than loading all docs upfront.
Generate Docker Compose and Dockerfile configurations for local development through interactive Q&A. Supports PHP/Laravel, WordPress, Drupal, Joomla, Node.js, and Python stacks with Nginx, Supervisor/PM2, databases, Redis, and email testing. Always asks clarifying questions before generating configurations.
Work with ROR (Research-Information-System) for DICOM data exploration, workflow setup, and series selection in research PACS environments. This skill should be used when exploring medical imaging datasets, setting up processing workflows, querying DICOM series/studies by modality or metadata, or filtering patients/studies for batch processing.
Proactive staff engineer review for technical plans. This skill should be used when Claude detects implementation plans, architecture designs, migration plans, or refactoring proposals to provide senior engineering feedback with a focus on risks, simplicity, and completeness.
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