Research

Generate comprehensive disease research reports using 100+ ToolUniverse tools. Creates a detailed markdown report file and progressively updates it with findings from 10 research dimensions. All information includes source references. Use when users ask about diseases, syndromes, or need systematic disease analysis.

AI-driven patient-to-trial matching for precision medicine and oncology. Given a patient profile (disease, molecular alterations, stage, prior treatments), discovers and ranks clinical trials from ClinicalTrials.gov using multi-dimensional matching across molecular eligibility, clinical criteria, drug-biomarker alignment, evidence strength, and geographic feasibility. Produces a quantitative Trial Match Score (0-100) per trial with tiered recommendations and a comprehensive markdown report. U...

Search and retrieve clinical practice guidelines across 12+ authoritative sources including NICE, WHO, ADA, AHA/ACC, NCCN, SIGN, CPIC, CMA, CTFPHC, GIN, MAGICapp, PubMed, EuropePMC, TRIP, and OpenAlex. Covers disease management, cardiology, oncology, diabetes, pharmacogenomics, and more. Use when users ask about clinical guidelines, treatment recommendations, standard of care, evidence-based medicine, or drug-gene dosing recommendations.

Comprehensive chemical safety and toxicology assessment integrating ADMET-AI predictions, CTD toxicogenomics, FDA label safety data, DrugBank safety profiles, and STITCH chemical-protein interactions. Performs predictive toxicology (AMES, DILI, LD50, carcinogenicity), organ/system toxicity profiling, chemical-gene-disease relationship mapping, regulatory safety extraction, and environmental hazard assessment. Use when asked about chemical toxicity, drug safety profiling, ADMET properties, env...

Provide comprehensive clinical interpretation of somatic mutations in cancer. Given a gene symbol + variant (e.g., EGFR L858R, BRAF V600E) and optional cancer type, performs multi-database analysis covering clinical evidence (CIViC), mutation prevalence (cBioPortal), therapeutic associations (OpenTargets, ChEMBL, FDA), resistance mechanisms, clinical trials, prognostic impact, and pathway context. Generates an evidence-graded markdown report with actionable recommendations for precision oncol...

Discover novel small molecule binders for protein targets using structure-based and ligand-based approaches. Creates actionable reports with candidate compounds, ADMET profiles, and synthesis feasibility. Use when users ask to find small molecules for a target, identify novel binders, perform virtual screening, or need hit-to-lead compound identification.

Detect and analyze adverse drug event signals using FDA FAERS data, drug labels, disproportionality analysis (PRR, ROR, IC), and biomedical evidence. Generates quantitative safety signal scores (0-100) with evidence grading. Use for post-market surveillance, pharmacovigilance, drug safety assessment, adverse event investigation, and regulatory decision support.

Search scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.

Audit websites and landing pages for conversion issues and design evidence-based A/B tests. Use when the user mentions "landing page isn''t converting", "conversion rate", "A/B test", "why visitors leave", or "objection handling". Covers funnel mapping, persuasion assets, and objection/counter-objection frameworks. For overall marketing strategy, see one-page-marketing. For usability issues, see ux-heuristics.

When the user requests to calculate year-over-year growth rates for business segments using a weighted methodology from Excel files, particularly when there's a mapping sheet defining segment-to-source weights and a raw data sheet with time-series values. This skill handles reading Excel workbooks with multiple sheets, parsing segment/source mappings, calculating YoY growth rates for sources, applying weighted sums to compute segment growth rates, handling missing data with N/A values, and ou...

When a student requests help with studying course materials (presentations, PDFs, lecture notes) and needs comprehensive study notes created. This skill extracts key concepts from educational files (PPTX, PDF), summarizes definitions and differences, includes code examples with explanations, and answers assignment questions. It's triggered by requests involving 'study', 'lecture notes', 'course materials', 'presentation analysis', or 'homework explanation' with file types like .pptx, .pdf, .md.

When the user needs to find academic researchers or professors matching specific criteria (research field, institution location, publication metrics, conference activity). This skill analyzes user requirements, searches conference publication data (like CVPR, NeurIPS, ICML), identifies top authors by paper count, filters by research domain and institutional affiliation, and returns ranked matches. Triggers include 'find researchers', 'match professors', 'postdoctoral position', 'academic ment...

When the user needs to update their academic profile website with new publications, particularly when they mention specific research papers (like arXiv articles) that need to be added to their publications list. This skill handles the complete workflow analyzing the existing website structure, searching for paper details in arXiv/local storage, understanding the publication format used by the site (Jekyll-based academic pages), and properly formatting new entries to match the existing style w...

When the user needs to research academic papers and extract specific author information including full names, institutional affiliations (with department-level details when available), and Google Scholar profiles. This skill is triggered by requests involving academic paper analysis, conference research, author profiling, or when working with Excel sheets containing paper titles that need author metadata enrichment. It handles searching for papers, extracting information from PDFs, finding au...

When the user needs to integrate multiple data sources (Canvas API, user memory, file systems) to create comprehensive academic reports. This skill combines course information, assignment details, submission status, and user context to generate actionable insights. Triggers include requests that involve cross-referencing multiple data sources or creating consolidated academic reports from disparate systems.

Filters candidates based on specific academic publication criteria (e.g., first-author, sole-author, or independent publications) from resumes or application materials. Searches through candidate data, extracts publication history, and applies filtering logic to identify qualified individuals.

When the user requests to add academic papers to a BibTeX bibliography file while maintaining format consistency and sourcing from appropriate repositories. This skill handles 1) Reading existing BibTeX files to understand formatting conventions, 2) Searching for academic papers across multiple sources (OpenReview for conference papers, arXiv for preprints), 3) Extracting proper BibTeX metadata from conference pages or arXiv entries, 4) Determining appropriate citation format (@article vs @in...

When the user requests information about academic benchmarks, datasets, or research papers, particularly in machine learning, deep learning, or logical reasoning domains. This skill enables systematic research of academic benchmarks by searching web sources, downloading and analyzing arXiv papers, extracting key metadata (number of tasks, training availability, difficulty levels), and compiling comparative summaries. It triggers on requests involving dataset comparisons, benchmark analysis, o...

Query Open Targets Platform for target-disease associations, drug target discovery, tractability/safety data, genetics/omics evidence, known drugs, for therapeutic target identification.

Use when you need to connect to the SciGraph SCP server for YaSAScore (reaction knowledge graph for compound synthesis accessibility; USPTO/Pistachio reactions as directed reactant→product edges) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for TxGNN (large-scale biomedical knowledge graph for drug repurposing and therapeutic relationship prediction, Neo4j-imported) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for TransFOL (multimodal biomedical knowledge graph for drug-drug interaction prediction and complex relational/logical reasoning) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for RegionalGeoTime (regional geologic time standards knowledge graph integrating 17 regional standards with the international time scale) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.

Use when you need to connect to the SciGraph SCP server for ReaKE (reaction-centered knowledge graph for self-supervised contrastive molecular representation learning; reactions as hyperedges linking reactants/products/templates) and call its MCP tools (query_cypher, get_kg_statistics, get_entity_details, get_experiment_workflow), including streamableHttp configuration with SCP-HUB-API-KEY and Python 3.10+ usage examples.