Epiblast
Official@epiblastai
Development for biology
Agent Skills by Epiblast
Showing 7 vetted skills indexed across 1 GitHub repositories.
prepare-package-for-resolution
Stages raw biomedical tables into Lance for schema resolution.
schema-harmonization
Harmonize LanceDB tables to a target Homeobox schema with audited CurationApplicator transactions.
finalize-tables
Finalizes harmonized Lance tables into linked, schema-conformant biomedical collections.
create-data-package
Organize biomedical dataset files into structured data packages with manifests.
multimodal-alignment
Reconcile inconsistent cell barcodes across multimodal LanceDB observation tables.
write-ingestion-script
Write ingestion scripts for finalized Homeobox multimodal atlas datasets with loader contracts and schema validation.
atlas-designer
Design declarative YAML schemas for Homeobox biomedical atlases.
Frequently Asked Questions About Epiblast
FAQPage SchemaWhat specific tasks can Epiblast perform on biomedical datasets?βΌ
Epiblast enables the staging of raw biomedical tables into LanceDB, the harmonization of data to Homeobox schemas, and the reconciliation of cell barcodes across multimodal observations. It facilitates the creation of structured data packages and the design of declarative schemas for complex biomedical atlases.
Which technical personas benefit from using Epiblast?βΌ
Bioinformaticians, computational biologists, and data engineers working with high-dimensional single-cell or multimodal datasets benefit from these capabilities. It is designed for professionals tasked with standardizing large-scale biological data collections for downstream research and atlas-level analysis.
What are the primary prerequisites for implementing Epiblast?βΌ
Implementation requires existing raw biomedical tables and a defined Homeobox schema target. Users must have an environment configured for LanceDB operations and the ability to define declarative YAML configurations for atlas design and ingestion contracts.