Generates complete bidirectional multi-phenotype Mendelian randomization research designs from a user-provided exposure family and outcome family.
Generates complete NHANES-style cross-sectional epidemiology + retrospective clinical validation research designs from a user-provided disease and biomarker direction.
Generates complete FAERS-style pharmacovigilance disproportionality research designs from a user-provided drug class, comparator strategy, adverse-event domain, and patie — from…
Generates complete FAERS-based multi-drug single-SOC safety comparison research designs from a user-provided drug set, comparator, and adverse event domain.
Designs complete single-cell research plans from a user-provided biomedical direction. Always use this skill whenever a user wants to design, scope, or structure a single — from…
Evidence-based medical knowledge and research mentor. Trigger this skill when users ask any question related to medicine, clinical science, pharmacology, pathology, epidemiology,…
Designs a realistic, execution-aware biomedical study version under explicit constraints of samples, time, budget, data access, lab capacity, team skill, and validation resources.
Generate structured academic CVs from free-form Chinese/English text and export to Word (.docx). Use this skill when you are asked to organize, generate, or optimize an academic…
Generates complete cross-disease shared-biomarker bioinformatics research designs from a user-provided disease pair and validation direction.
Reverse-engineers the methods section of a biomedical paper into a structured, reproducible workflow.
Generates complete NHANES-style cross-sectional epidemiology + retrospective clinical validation research designs from a user-provided disease and biomarker direction.
Generates complete reference-grounded single-drug adverse-effect network-pharmacology research designs from a user-provided drug, adverse event, and desired evidence dept — from…
Generates complete conventional oncology bulk-transcriptome biomarker and hub-gene research designs from a user-provided cancer type and study direction.
Collects candidate biomedical literature across multiple databases, adapts search logic by database, preserves source metadata, and organizes results into a structured,…
Gregor Mendel — genetics mentor, patient experimenter, and gardener-monk. Trigger this skill when users ask about genetics, heredity, inheritance patterns, Mendelian laws,…
Generates complete Mendelian Randomization + single-cell transcriptomics (scRNA-seq) research designs from a user-provided direction.
Designs studies for predicting treatment response or resistance in biomedical and clinical research. Always use this skill when the user needs a treatment-response or resistance…
Extends a mechanistic or association-level biomedical finding into a staged validation pathway that moves from descriptive evidence toward stronger functional support, mechanistic…
Generates complete Mendelian randomization study designs from a user-provided exposure and outcome direction.
Designs discovery, modeling, and validation workflows for prognostic biomarkers in biomedical and clinical research.
Compares multiple study-route options for the same biomedical research question and recommends one primary plan, while explicitly explaining why alternative routes are secondary,…
Refines broad, vague, or aspirational biomedical research objectives into clear, bounded, measurable, executable, and downstream-ready study objective statements.
Generates complete reference-grounded single-drug adverse-effect network-pharmacology research designs from a user-provided drug, adverse event, and desired evidence dept — from…
Plans confounder control, variable adjustment logic, and bias mitigation strategies at the protocol stage for clinical, epidemiologic, translational, observational, and biomarker…
Generates complete conventional oncology bulk-transcriptome biomarker and hub-gene research designs from a user-provided cancer type and study direction.
Access the ENCODE Project REST API to search for and retrieve biological data (biosamples, experiments, etc.).
Extracts concrete unmet clinical needs from guidelines, reviews, real-world studies, and clinical-practice evidence.
Generates complete tumor immune-infiltration-guided bulk-transcriptome diagnostic biomarker and machine-learning research designs from a user-provided cancer type and stu — from…
Detects methodological gaps across study design, analysis, validation, bias control, reproducibility, and implementation readiness within a biomedical research area.
Maps whether a biomedical research topic, subtopic, or study angle is truly saturated, superficially crowded, strategically occupied, or still open for differentiated entry.
A medical-research-native literature reading skill for users with clinical, bioinformatics, translational, and basic experimental backgrounds.
Generates complete non-tumor biomedical machine learning research designs from a user-provided research direction.
Generates complete FAERS-style pharmacovigilance disproportionality research designs from a user-provided drug class, comparator strategy, adverse-event domain, and patie — from…
Generates complete programmed-cell-death (PCD) / regulated-cell-death (RCD) bulk-transcriptome oncology research designs from a user-provided disease and mechanism theme — from…
Generates complete dual-disease shared-transcriptome biomarker and hub-gene research designs from a user-provided disease pair and shared-biology direction.
Converts an audited medical research gap into a complete, structured, gap-traceable study design. Always use this skill whenever a user already has one or more candidate research…
Batch extraction of experimental methods from multiple papers for protocol.
Auto-generates comparison tables for concepts, drugs, or study results.
Calculate literature growth velocity and acceleration to assess research.
Assess translational gaps between preclinical models and human diseases.
Generate USMLE Step 1/2 style clinical cases with patient history, physical.
Automatically summarize scientific podcasts like Huberman Lab and Nature.
Generate interactive anatomy quizzes for medical education with multiple.
Generate photorealistic rendering scripts for PyMOL and UCSF ChimeraX.
Convert complex Venn diagrams with more than 4 sets to clearer Upset.
Determine whether an incident in a clinical trial is a "major deviation.
Generates detailed text descriptions of medical images and charts for.
Helps faculty and mentors draft standardized recommendation letters for.
Simulates NIH study section peer review for grant proposals. Triggers.
Generates compliant medical case report articles for WeChat.
Map unstructured biomedical text to standardized ontologies (SNOMED CT.
Assist in drafting professional peer review response letters. Trigger.
NIH funding trend analysis to identify high-priority research areas.
Generate graphical abstract layout recommendations based on paper abstracts.
Predict neoantigens that may be recognized by the immune system based.
Adapt abstracts to meet specific conference word limits and formats.
Automatically scan document reference lists and check against Retraction.
Map patient symptoms to Human Phenotype Ontology terms for gene diagnosis.
Polishes response letters by transforming defensive or harsh language.
Interpret Alpha and Beta diversity metrics from 16S rRNA sequencing results.