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 โ 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.
AIๅพ่กจ3Dๆๅพ็ๆใๆ นๆฎ็จๆทๆฐๆฎๅๆๅฎๅพ่กจ็ฑปๅ๏ผ็ๆ3D้ฃๆ ผๅๆฐๆฎๅฏ่งๅๆ็ปใๅฝ็จๆทๆณ่ฆๅฐๅพ่กจ่ฝฌไธบ3Dๆ็ปใๅๅปบ3D้ฃๆ ผๅพ่กจๆถไฝฟ็จ๏ผ่งฆๅ่ฏๅ ๆฌ"3Dๅพ่กจ"ใ"3Dๆๅพ"ใ"ๅพ่กจ่ฝฌ3D"ใ"3D illustration"ใ"3d chart"ใ"stylize chart"็ญใ
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.
ไธญๅฝๆฒณๆตๅๅธๆ ๅตๆฅ่ฏข๏ผๅ ๅซไธๅคงๆฐด็ณปใไธป่ฆๆฒณๆตๅๆตๅไฟกๆฏ
Math & statistics graphing, computation, visualization and validation engine
่ฐ็จMidu-Public-Opinion-Reportๆฅๅฃ๏ผ็ๆไธ็ฏ่ๆ ๅๆๆฅๅใๆฏๆ็ๆฅๅ็ฑปๅ๏ผไบไปถไธๆฅใ่ฏ้ขๆฅๅใ่กไธๆฅๅใๆดปๅจๆฅๅใๅจๆๆงๆฅๅใ็ดๆฅ็นไธๆฅๅฟซ่ฏใ็ดๆฅ็นไธๆฅ็ปผ่ฟฐใ็ดๆฅ็น็ญ็นๆฅ้ใๅ็ไผ ๆญๆดๅฏๆฅๅใๅๅธๅฏนๆ ๅๆๆฅๅใๅๅธไผ ๆญๅฝฑๅๅๆฅๅใๅบๅ็ฝ็ปไฟกๆฏๆฅๅใๅ ฌๅ ฑๆฟ็ญ็ฝ็ป่ๆ ๆฅๅใCall 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.