creator profile · 63 approved skills · page 4 of 7
mims-harvard publishes 63 approved skills on explainx.ai. This page loads 10 skills at a time. Current page is led by tooluniverse-drug-repurposing.
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Systematically identify and evaluate drug repurposing candidates using multiple computational strategies.
Systematic workflow for creating production-ready ToolUniverse skills.
Best practices for high-quality research skills with evidence grading and source attribution.
Systematic diagnosis support for rare diseases using phenotype matching, gene panel prioritization, and variant interpretation across Orphanet, OMIM, HPO, ClinVar, and structure-b…
3 calling patterns -- start with pattern 1:
Gather complete target intelligence by exploring 9 parallel research paths. Supports targets identified by gene symbol, UniProt accession, Ensembl ID, or gene name.
Retrieve protein structures with disambiguation, quality assessment, and comprehensive metadata.
Retrieve comprehensive chemical compound data with proper disambiguation and cross-database validation.
Generate a comprehensive disease research report with full source citations. The report is created as a markdown file and progressively updated during research.
Route user questions to specialized skills. If no skill matches, use general strategies from references/general-strategies.md.
