Use when writing medical school personal statements, residency application essays, fellowship statements, or graduate school admissions essays. Crafts compelling narratives highlighting clinical experiences, research achievements, and career motivations for healthcare education applications.
Use medical translation for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
Use grant budget justification for academic writing workflows that need structured execution, explicit assumptions, and clear output boundaries.
Use biotech-pitch-deck-narrative for academic writing workflows that need structured investor-facing storytelling, explicit assumptions, and clear output boundaries.
Evidence-based medical knowledge and research mentor. Trigger this skill when users ask any question related to medicine, clinical science, pharmacology, pathology, epidemiology, or health sciences. Covers: disease mechanisms, drug actions and interactions, differential diagnosis reasoning, clinical guideline interpretation, medical literature appraisal (including GRADE assessment), treatment comparisons, lab and imaging interpretation, public health analysis, and medical terminology. Even if the user doesn't explicitly say "evidence-based" or "medical research," trigger this skill whenever the topic touches health, disease, drugs, or therapeutics. Part of the AIPOCH Medical Research Skill Hub.
Generate concise (typically 1–4 pages) patient-centered medical treatment plans in LaTeX/PDF when a clinician needs an actionable plan with SMART goals, evidence-based interventions, monitoring, and HIPAA-aware documentation.
Uses analogies to explain complex medical concepts in accessible terms.
Calculate medical date windows including gestational age, estimated delivery dates, and follow-up visit scheduling. Produces structured JSON output for clinical research and trial coordination workflows.
Access COSMIC to download mutation datasets, query Cancer Gene Census, and retrieve mutational signatures when your genomic analysis requires curated somatic mutation resources.
Generate R/Python code for volcano plots from DEG (Differentially Expressed Genes) analysis results. Triggered when user needs visualization of gene expression data, p-value vs fold-change scatter plots, publication-ready figures for bioinformatics analysis.
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.
Use Biopython to read/write/convert biological sequence files (FASTA/GenBank/FASTQ, etc.) and perform basic sequence operations; use when you need reliable sequence I/O, lightweight sequence manipulation, or scalable processing of large sequence datasets.
Sequence alignment and alignment file processing with Biopython (Bio.Align/Bio.AlignIO), triggered when you need global/local pairwise alignment, MSA read/write/format conversion, or alignment statistics/filtering.
Use Bio.Phylo to read/write phylogenetic trees and perform visualization and statistics; use when tree parsing/conversion, pruning/rerooting, distance calculation, or plotting is required.
Advanced Biopython modules for motifs, population genetics, sequence utilities, restriction analysis, clustering, and GenomeDiagram visualization; use when you need extended bioinformatics analysis beyond basic sequence I/O and alignment.
Interpret Alpha and Beta diversity metrics from 16S rRNA sequencing results.
Generates complete dual-disease transcriptomic + machine learning research designs from a user-provided disease pair. Use when users want to identify shared DEGs, common hub genes, cross-disease biomarkers, or shared molecular mechanisms between two diseases using public GEO data. Triggers: "shared biomarker study for two diseases", "dual-disease transcriptomic ML paper", "identify common DEGs between disease A and B", "cross-disease hub gene discovery", "shared DEG + PPI + ROC design", "immune infiltration shared biomarker", or "I want to study disease X and Y together". Always outputs four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, and publication upgrade path.
Access bioDBnet REST services for biological identifier conversion, pathway retrieval, and ortholog mapping. Use when you need to convert gene/protein IDs, find pathways, or retrieve biological annotations via bioDBnet.
