lifesciences-research

Validates synthetic lethality claims from CRISPR knockout screens using BioGRID ORCS 5-phase workflow. This skill should be used when the user asks to "validate synthetic lethality", "query CRISPR essentiality data", "find gene dependencies", "compare cell line screens", or mentions BioGRID ORCS, gene knockout data, essentiality scores (CERES, MAGeCK, BAGEL), or asks to validate claims from published CRISPR papers.

Queries clinical databases (Open Targets, ClinicalTrials.gov) via curl for target-disease associations, target tractability assessment, and clinical trial discovery. This skill should be used when the user asks to "validate drug targets", "find clinical trials", "assess target tractability", "discover disease associations", or mentions Open Targets scores, NCT identifiers, target-disease evidence, druggability assessment, or translational research workflows.

Queries genomic databases (Ensembl, NCBI, HGNC) via curl for gene lookup, variant annotation, orthology, and cross-database ID resolution. This skill should be used when the user asks to "annotate variants", "find orthologs", "map gene IDs", "analyze linkage disequilibrium", or mentions gene symbols, ENSG IDs, HGNC identifiers, VEP annotation, LD analysis, HGVS notation, or DNA sequences.

Orchestrates life sciences APIs to build knowledge graphs using the Fuzzy-to-Fact protocol, combining MCPs for nodes and curl for edges, then persisting to Graphiti. This skill should be used when the user asks to "build knowledge graphs", "find biological connections", "explore drug repurposing", "validate drug targets", or mentions traversing gene→protein→pathway→drug→disease paths, multi-API orchestration, or graph persistence workflows.

Queries pharmacology databases (ChEMBL, PubChem, DrugBank, IUPHAR) via curl for drug mechanisms, target identification, bioactivity profiling, and indication discovery. This skill should be used when the user asks to "find drug mechanisms", "identify drug targets", "analyze bioactivity data", "discover drug indications", or mentions ChEMBL IDs, mechanisms of action, IC50/Ki values, drug-target relationships, or compound similarity searches.

Queries protein databases (UniProt, STRING, BioGRID) via curl for protein lookups, protein-protein interactions, functional enrichment analysis, and cross-database ID mapping. This skill should be used when the user asks to "find protein interactions", "analyze interaction networks", "perform GO enrichment", "map protein IDs", or mentions PPI networks, UniProt accessions, STRING scores, BioGRID interactions, or protein ID conversion between databases.