com um clique
VisCy
VisCy contém 4 skills coletadas de mehta-lab, com cobertura ocupacional por repositório e páginas de detalhe dentro do site.
Skills neste repositório
Develop, deploy, and maintain the DynaCell virtual-staining HuggingFace demo hosted at biohub/dynacell (ZeroGPU). Covers hosting in the biohub Dynacell resource group, the private-artifacts + HF_TOKEN access model, ZeroGPU configuration, and the deploy/smoke-test workflow. Use when the user asks to "push the dynacell space", "update the dynacell demo", "upload checkpoints", "deploy the hf space", mentions biohub/dynacell, or works in applications/dynacell/examples/hf_demo/.
Query Airtable MCP to fetch experiment metadata and generate a DynaCLR collection YAML for training
Register zarr positions into the Computational Imaging Database on Airtable, write channels_metadata/experiment_metadata to zarr .zattrs, or bulk-update Airtable records via MCP. Use when the user asks to "register a dataset", "register zarr positions", "update airtable from zarr", "write metadata to zarr", "run register on", "sync airtable", "populate channel markers", "update airtable records", "backfill fields", or "fill in missing fields". Also use for Marker Registry questions.
Prepare datasets for training on VAST storage (NFS -> VAST rechunked zarr v3 pipeline). Use when the user asks to "prepare a dataset", "run prepare", "rechunk dataset", "copy dataset to VAST", "run QC and preprocess", or references the `prepare` CLI.