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Design clinical trial site selection criteria. TRIGGERS - Use when user needs help with clinical-site-selection related tasks.
Plan companion diagnostic development programs. TRIGGERS - Use when user needs help with companion-diagnostic related tasks.
Plan drug development programs with phases and timelines. TRIGGERS - Use when user needs help with drug-development-plan related tasks.
Prepare regulatory submission documents for FDA/EMA. TRIGGERS - Use when user needs help with regulatory-submission related tasks.
Comprehensive scientific research toolkit with 139 specialized skills for biology, chemistry, medicine, data science, and computational research. Transforms Claude into an AI research assistant with access to scientific databases, analysis tools, and domain-specific workflows.
Annotate and filter VCF variants with SnpEff and SnpSift. SnpEff predicts functional effects (HIGH/MODERATE/LOW/MODIFIER), genes, transcripts, AA changes, HGVS; SnpSift filters and adds ClinVar/dbSNP. Java CLI with Python subprocess integration. Use ANNOVAR for multi-database annotation; Ensembl ...
Prepare IND applications. TRIGGERS - Use when user needs help with ind-application-prep related tasks.
Design clinical data management systems and processes. TRIGGERS - Use when user needs help with clinical-data-management related tasks.
Build clinical trial budgets. TRIGGERS - Use when user needs help with clinical-trial-budget related tasks.
Plan drug formulation development programs. TRIGGERS - Use when user needs help with formulation-development related tasks.
Human Phenotype Ontology skill for phenotype-driven gene prioritization
MaxQuant mass spectrometry skill for protein identification and quantification
IGV integration skill for interactive genome visualization and review
Salmon pseudo-alignment skill for fast and accurate transcript quantification
Structural variant detection skill for identifying CNVs, inversions, translocations, and complex rearrangements
Active targeting skill for designing and validating nanoparticle targeting strategies
Use-related risk analysis skill for identifying hazards associated with user interaction per IEC 62366-1
Detect copy number variations from whole genome sequencing data and generate publication-quality genome-wide CNV plots. Supports CNV calling, segmentation, and visualization for cancer genomics and rare disease analysis.
AutoDock molecular docking skill for small molecule binding prediction and virtual screening
Predict neoantigens that may be recognized by the immune system based.
Sequencing quality control skill for assessing read quality, adapter contamination, and sequence composition
DeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection
Gene fusion detection skill for oncology applications with multiple caller integration
Build digital twin patient models to test drug efficacy and toxicity
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