dekan-aleksandr
UserThinking tools for AI agents making discoveries in the life sciences
Categories
Indexed Skills (2)
discovery-director
Operate as a research director making original discoveries from a given biological question and dataset. Use when the task is open-ended scientific research, exploring omics or experimental data for findings, hypothesis generation and testing, screening a large candidate space of genes, variants, features or compounds, investigating an anomaly, or deciding what experiment or analysis to run next. Triggers on "make discoveries", "explore this data", "find something in", "what's in this dataset", "research this question", "generate hypotheses", "why is this result happening".
discovery-toolbox
A routed repertoire of ~90 scientific thinking operators for biological research agents - visual reasoning, detectability and information budgets, search reframing, causal identification, competing explanations, observation and selection processes, pipeline artifact diagnosis, effort allocation, and confirmation hygiene. Use when a screen returns null or weak results, a result looks too good, search has stagnated, a causal claim is being made, an anomaly needs explaining, a pipeline is suspected, or a lead is about to be escalated. Load the smallest relevant section, activate 1-3 operators, then return to the research loop.
Bio shown is the top-scored skill's repo description as a fallback — real GitHub bios land in a future update.