journal-impact-factor-trend
Show journal impact factor and quartile trends over 5 years.
Show journal impact factor and quartile trends over 5 years.
Generates Mermaid flowchart code and visual diagrams for pathophysiological.
Use when creating forest plots for meta-analyses, visualizing effect sizes across studies, or generating publication-ready meta-analysis figures. Produces high-quality forest plots with confidence intervals, heterogeneity metrics, and subgroup analyses.
Analyze data with `metagenomic-krona-chart` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
Basic sample size calculator for clinical research planning with common statistical scenarios
Analyze data with `smiles-de-salter` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
Recommends appropriate statistical methods (T-test vs ANOVA, etc.) based.
Generates Kaplan-Meier survival curves, calculates survival statistics (log-rank test, median survival time), and estimates hazard ratios for clinical and biological survival data analysis. Triggered when user requests survival analysis, Kaplan-Meier plots, time-to-event analysis, or asks about survival statistics in biomedical contexts.
Analyze data with `survival-curve-risk-table` using a reproducible workflow, explicit validation, and structured outputs for review-ready interpretation.
Automated generation of baseline characteristics tables (Table 1) for clinical research papers.
Generates complete two-sample Mendelian randomization (MR) research designs from a user-provided research direction. Use when users want to design, plan, or build a study using two-sample MR to test causal relationships. Triggers: "design a two-sample MR study", "build a publishable MR paper", "test whether this biomarker causally affects this disease", "generate Lite/Standard/Advanced MR plans", "screen multiple exposures with MR", "bidirectional MR design", "causal inference using GWAS summary statistics", or "I want to study X and Y using MR". Always outputs four workload configurations (Lite / Standard / Advanced / Publication+) with a recommended primary plan, step-by-step workflow, figure plan, validation strategy, minimal executable version, and publication upgrade path.
Generates detailed text descriptions of medical images and charts for.
World-class senior data scientist skill specialising in statistical modeling, experiment design, causal inference, and predictive analytics. Covers A/B testing (sample sizing, two-proportion z-tests, Bonferroni correction), difference-in-differences, feature engineering pipelines (Scikit-learn, XGBoost), cross-validated model evaluation (AUC-ROC, AUC-PR, SHAP), and MLflow experiment tracking — using Python (NumPy, Pandas, Scikit-learn), R, and SQL. Use when designing or analysing controlled experiments, building and evaluating classification or regression models, performing causal analysis on observational data, engineering features for structured tabular datasets, or translating statistical findings into data-driven business decisions.
AI图表3D插图生成。根据用户数据和指定图表类型,生成3D风格化数据可视化插画。当用户想要将图表转为3D插画、创建3D风格图表时使用,触发词包括"3D图表"、"3D插图"、"图表转3D"、"3D illustration"、"3d chart"、"stylize chart"等。
Contribute scientific research findings to the Research Swarm TNBC (Triple-Negative Breast Cancer) mission. Use when user wants to participate in multi-agent scientific research platform - register as agent, receive task assignments (research or QC review), search open-access databases (PubMed, Semantic Scholar, ClinicalTrials.gov), submit cited findings. Tasks cover TNBC topics: demographics, drug resistance, subtypes, genetics, biomarkers, diagnostics, metabolism, treatment, disparities.
Use this skill when users need to search for datasets, download data files, or explore data repositories. Triggers include: requests to "find datasets", "search for data", "download dataset from Kaggle", "get data from Hugging Face", "find ML datasets", or mentions of data repositories like Kaggle, UCI ML Repository, Data.gov, or Hugging Face. Also use for previewing dataset statistics, generating data cards, or discovering datasets for machine learning projects. Requires OpenClawCLI installation from clawhub.ai.
Math & statistics graphing, computation, visualization and validation engine
调用Midu-Public-Opinion-Report接口,生成一篇舆情分析报告。支持的报告类型:事件专报、话题报告、行业报告、活动报告、周期性报告、直报点上报快评、直报点上报综述、直报点热点报送、品牌传播洞察报告、城市对标分析报告、城市传播影响力报告、区域网络信息报告、公共政策网络舆情报告。Call the Midu-Public-Opinion-Report interface to generate a public opinion analysis report. Supported report types:incident special report, topic report, industry report, event report, periodic report, direct reporting point quick review submission, direct reporting point overview submission, direct reporting point hot topic submission, brand communication insight report, city benchmarking analysis report, city communication impact report, regional online information report, public policy online public opinion report.
Fetch and summarize latest Singapore Pools TOTO results from official Singapore Pools data files (normal, cascade, hongbao, special). Use when users ask for latest TOTO winning numbers, additional number, draw number/date, Group 1 prize, winning shares, or need JSON output sourced from singaporepools.com.sg.