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Find your next superpower If you are an agent, refer to our llms.txt for full access.Covers Nuxt Studio installation, editor customization, OAuth or custom authentication, and media handling. Supports drafts, Git publishing, and production deployment for Nuxt Content.
Uses @nuxt/ui v4 and its 125+ accessible Vue components to create interfaces and forms. Supports brand-specific theming and layouts for dashboards, documentation sites, and chat interfaces.
Defines the repository's inference-first TypeScript style, forbidden escape hatches, and public API typing rules. Covers schema-driven type design and maintainable use of complex types.
Covers NuxtHub v0.10.6 database APIs using Drizzle with SQLite, PostgreSQL, or MySQL, plus KV, blob storage, and caching. Supports configuration, schemas, migrations, Cloudflare and Vercel deployment, and hub virtual module imports.
Uses NV-Generate-CTMR rflow-ct to generate synthetic CT volumes and masks. Production training use requires review.
Generates synthetic body MRI volumes with NV-Generate-CTMR rflow-mr. Does not cover paired masks or production training data.
Supports synthetic T1, T2, FLAIR, SWI, and MRA brain MRI volumes. The workflow is not intended for production training data.
Supports fine-tuning on T1, T2, FLAIR, SWI, or MRA data supplied through a NIfTI datalist. Does not provide clinical or production data approval.
Provides fine-tuning for the NV-Generate-CTMR MAISI VAE from CT/MRI NIfTI datalists. Does not provide clinical or production data approval.
Supports command-shape checks and live NV-Reason-CXR smoke tests. Excludes diagnosis and clinical reporting.
Applies NV-Segment-CT VISTA3D to CT volumes in NIfTI format. Records evidence from the resulting label maps.
Supports standard or fixed-channel softmax fine-tuning with checkpoint evidence and optional MONAI-native MLflow tracking. Uses softmax for predefined, mutually exclusive classes and the standard workflow for point prompts or variable classes. Excludes clinical validation.
Skills give your agent reusable instructions for a specific job. Pick one, read what it does, and bring it into your workflow.
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Copy the install command from a skill page and run it in your project.
npx skillycli add owner/repo --skill name