Generates complete, runnable visualization code for research figures. Produces matplotlib/seaborn Python scripts for quantitative data and Mermaid diagrams for conceptual relationships, workflows, and taxonomies. Use when the user asks for charts, graphs, visualizations, figures, or diagrams. Produces code only — does…
Simulates a full academic journal peer review with EIC decision and 3 independent reviewers (Methodology Expert, Domain Specialist, Devil's Advocate). Scores 1–10, provides major/minor comments, and issues a final verdict: Accept, Minor Revision, Major Revision, or Reject. Use when the user asks for a peer review…
Organizes research notes into a structured wiki knowledge base with wikilinks ([[slug]] syntax), cross-references, and an auto-generated index. Use when the user asks to build a wiki, organize notes into a knowledge base, create an index, or sync notes into a structured format.
Render evaluation run reports and interpret gate metrics. Use for: reading eval JSONL logs as a markdown report (uv run python -m eval.seedreader --run-id ID), listing available run-ids, scoring the GO/STOP/ITERATE gate decision, understanding what each metric means, diagnosing why an arm won or lost, reviewing probe…
Generate candidate perturbation hypotheses (targets, mechanism, expected signature, experiment plan) for a given biological context and phenotype goal.
Utiliser pour cadrer une nouvelle discovery utilisateur. Produit cinq hypothèses concurrentes, leurs observables de validation, le profil cible, un guide d'entretien et une grille de codage des verbatims.