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Scientific Tooling 的 Skills 57
structured-intelligence-skill-creator
Create or update repository skills that conform to local templates, provider metadata requirements, registry rules, and validation workflows.
stat-survival-analysis
Estimate and compare survival functions using Kaplan-Meier curves and log-rank test, with optional Cox proportional hazards regression.
stat-pca
Perform PCA on a numeric data matrix to reduce dimensionality, visualize sample structure, and identify top contributing features.
stat-pairwise-correlation
Compute pairwise correlations and significance tests across all numeric variables, and produce a correlation heatmap.
stat-nonlinear-embedding
Embed high-dimensional data into 2D using t-SNE or UMAP for exploratory visualization of sample or cell relationships.
stat-logistic-regression
Fit a logistic regression model for binary outcomes, report odds ratios and model performance (AUC-ROC, confusion matrix).
stat-learn-bayesian-network
Learn the structure and conditional probabilities of a Bayesian network from observational data for causal discovery or dependency modeling.
stat-fit-linear-model
Fit a linear regression model, report coefficients and model fit, and generate residual diagnostic plots.
stat-fit-glm
Fit a generalized linear model (Poisson, Binomial, or Gaussian family) for count or non-normally distributed outcome data.
stat-compare-two-groups
Compare a continuous variable between two groups with automatic selection of t-test, Welch test, or Mann-Whitney U test based on data properties.
stat-compare-multiple-groups
Compare a continuous variable across three or more groups using one-way ANOVA or Kruskal-Wallis with post-hoc testing.
stat-cluster-samples
Cluster samples or features using k-means or hierarchical clustering, evaluate cluster quality with silhouette scores, and produce a dendrogram or cluster plot.
stat-bayesian-estimation
Estimate model parameters using Bayesian inference (MCMC via Stan or PyMC), returning posterior distributions and credible intervals.
stat-assess-data-quality
Assess data quality by reporting missing values, outliers, sample size, and variance structure for each variable in a table.
stat-analyze-distribution
Characterize the distribution of one or more numeric variables with summary statistics, normality tests, and diagnostic plots.
search-sra
Search NCBI Sequence Read Archive (SRA) for sequencing runs, experiments, studies, and samples using E-utilities or the NCBI Datasets CLI.
search-ncbi-datasets
Search NCBI Datasets for genome assemblies, genes, taxonomy records, and virus genomes using the NCBI Datasets CLI or REST API.
search-gsa
Search CNCB Genome Sequence Archive (GSA) for sequencing runs, experiments, studies, and samples deposited at the China National Center for Bioinformation.