Coordinate a life-science research request that spans design, public databases, omics, statistics, writing, figures, reproducibility, or independent review. Use for multi-stage research work; do not use for a single narrow lookup.
Independently review a life-science manuscript, analysis, figure package, or repository for claim support, citation validity, numeric traceability, figure-code-data consistency, reproducibility, and privacy. Use as a final gate, not as author self-approval.
Audit whether biological materials, sampling, controls, replication, and measurements can answer a proposed question before experiments or analysis. Use for study planning and Go/No-Go decisions.
Detect and selectively use local life-science desktop or structural tools, including safe PyMOL rendering and explicit file opening in SnapGene, Cytoscape, or Fiji. Use when a user asks to work with these installed applications; never install tools silently…
Draft or restructure life-science Introduction and Discussion sections from supplied claims, results, figures, and verified literature. Use for argument construction; do not invent evidence, citations, or causal strength.
Plan, audit, or interpret public or user-authorized sequencing and omics workflows, including bulk RNA-seq, single-cell, amplicon, metagenomic, variant, and metabolomic analyses. Use only after design and metadata fit are checked.
Query public biological databases for genes, proteins, domains, structures, literature, networks, motifs, or general Solanaceae metadata through the bundled allowlisted MCP. Use for evidence lookup; never route private or pepper-specific data through it.
Design or review statistical, mixed-model, Bayesian, or machine-learning analyses for life-science data. Use when the main risk is estimand, dependence, model choice, diagnostics, leakage, or uncertainty.