What problem does it solve?
This Skill helps design robust Homeobox atlas schemas without hand-writing complex Python schema definitions or ingestion logic.
Core Features & Use Cases
- Declarative Schema Design: Creates YAML schema intermediate representations for observations, datasets, feature registries, foreign-key registries, enums, and auxiliary tables.
- Rich Schema Semantics: Supports feature-space pointers, stable identifiers, registry references, polymorphic relationships, ontology and database mappings, summaries, constraints, computed fields, and presence flags.
- Validation and Code Generation: Checks registry markers, validates pointer and enum compatibility, generates deterministic schema.py code, and builds a temporary atlas to verify the resulting schema.
- Use Case: Design a multimodal single-cell atlas supporting gene expression, protein abundance, image features, donor metadata, and perturbation records, then validate the complete schema before ingestion.
Quick Start
Ask the atlas-designer skill to create and validate a YAML schema IR for your proposed Homeobox atlas, including its observation rows, feature spaces, registries, relationships, and biological metadata.