Statistics

Guided statistical analysis for test selection, assumption checks, power analysis, and APA-style reporting.

aipoch/medical-research-skills

Creates DE-specific diagnostic and result visualizations using DESeq2/edgeR built-in functions and lightweight ggplot2 wrappers.

GPTomics/bioSkills

Controls error rates across thousands of simultaneous tests in genomics discovery using false-discovery-rate methods (Benjamini-Hochberg 1995; Benjamini-Yekutieli 2001 for arbitrary dependence…

GPTomics/bioSkills

Defines cell populations in flow and spectral cytometry through manual gates (rectangle, polygon, quadrant, boolean) and reproducible automated gating (openCyto gating templates, flowDensity…

GPTomics/bioSkills

Assigns honest lipid annotation levels, designs class-based internal-standard quantification, and runs lipid-aware differential and enrichment analysis with lipidr, guarding against…

GPTomics/bioSkills

Designs QC, corrects signal drift, removes batch effects, filters features, normalizes samples, and imputes missing values for untargeted LC-MS/GC-MS metabolomics, framing each step as a measurement…

GPTomics/bioSkills

Decision-grade statistical analysis for metabolomics intensity tables.

GPTomics/bioSkills

Designs and validates quantitative targeted metabolomics assays (MRM/SRM on triple-quadrupole, PRM on high-resolution instruments) to report absolute concentrations.

GPTomics/bioSkills

Programmatic untargeted LC-MS feature extraction in R with the modern xcms 4.x MsExperiment/XcmsExperiment API, taking raw mzML to a feature table via CentWave peak detection, retention-time…

GPTomics/bioSkills

Turns a shotgun profiler table (MetaPhlAn relative abundance, Bracken counts, HUMAnN function tables) into honest figures and defensible community statistics with phyloseq, vegan, microViz, and…

GPTomics/bioSkills

Discovers shared and view-specific latent factors across bulk multi-omics blocks (RNA-seq, proteomics, methylation) on a common sample axis with MOFA2's unsupervised Bayesian group factor model…

GPTomics/bioSkills

Tests a ranked gene vector for coordinated expression shifts in GO, KEGG, Reactome, or MSigDB gene sets with clusterProfiler's gseGO, gseKEGG, gsePathway, and GSEA (fgseaMultilevel engine), and…

GPTomics/bioSkills

Single-variant common-variant GWAS with plink2 --glm (linear/logistic, Firth) and the linear mixed models GEMMA, BOLT-LMM, SAIGE, regenie (SPA).

GPTomics/bioSkills

Computes linkage disequilibrium (r2, D', composite Rogers-Huff r2), prunes correlated variants, clumps GWAS summary statistics to lead SNPs, and defines haplotype blocks with PLINK 1.9/2.0 and…

GPTomics/bioSkills

In-memory Python population genetics with scikit-allel - GenotypeArray/HaplotypeArray/AlleleCountsArray, diversity (pi, theta, Tajima's D), SFS, FST (Weir-Cockerham, Hudson, Patterson), f3/D…

GPTomics/bioSkills

Tests whether a proposed or predicted RNA secondary structure is supported by evolutionary covariation using R-scape, which scores compensatory substitutions against a phylogeny-aware null and…

GPTomics/bioSkills

Calculate assembly and sequence statistics (N50/L50, auN, NG50/NGA50, length distribution, GC content with ambiguity handling, summary reports) using Biopython.

GPTomics/bioSkills

Build the spatial neighbor graph that every downstream spatial statistic (Moran's I, neighborhood enrichment, co-occurrence, spatial domains) inherits, using Squidpy.

GPTomics/bioSkills

Detects spatially variable genes, spatial autocorrelation, and cell-type colocalization for spatial transcriptomics using Squidpy with PySAL/esda for local statistics.

GPTomics/bioSkills

Infers directed, time-delayed gene regulatory edges from BULK time-series expression using Granger causality (statsmodels VAR F-test), dynGENIE3 (tree ensembles regressing ODE-derived derivatives…

GPTomics/bioSkills

Compute and interpret VCF quality-control metrics (Ti/Tv, het/hom, novel/known, missingness, HWE, contamination, relatedness) with bcftools stats, vcftools, plot-vcfstats, and identity tools…

GPTomics/bioSkills

End-to-end flow, spectral, and mass cytometry (CyTOF) pipeline from raw FCS files to differentially abundant/expressed cell populations.

GPTomics/bioSkills

Orchestrates imaging mass cytometry from raw MCD acquisitions to patient-level spatial analysis, chaining steinbock preprocessing, Mesmer/Cellpose segmentation, single-cell quantification…

GPTomics/bioSkills

Orchestrates the untargeted LC-MS metabolomics pipeline end-to-end (xcms 4.x feature extraction, QC/drift/normalization, confidence-stratified annotation, permutation-validated statistics…

GPTomics/bioSkills

Orchestrates the end-to-end bulk RNA-seq differential-expression pipeline from FASTQ to an annotated DE gene table, chaining fastp QC/trim, Salmon (decoy-aware) or STAR+featureCounts quantification…

GPTomics/bioSkills

Execute this skill empowers AI assistant to perform regression analysis and modeling using the regression-analysis-tool plugin.

jeremylongshore/tons-of-skills-marketplace

Analyze ML experiment results, compute statistics, generate comparison tables and insights.

AI4Scientist/nano-scientist

This skill covers Bayesian estimation and inference in quantitative social science.

brycewang-stanford/Auto-Empirical-Research-Skills

Panel data, IV/GMM, system regression. An agent skill from brycewang-stanford/Auto-Empirical-Research-Skills.

brycewang-stanford/Auto-Empirical-Research-Skills

Fast high-dimensional fixed effects: OLS, Poisson, IV with multi-way FE; DiD (TWFE, did2s, Sun-Abraham); clustered SEs; etable/coefplot/iplot.

brycewang-stanford/Auto-Empirical-Research-Skills

Statistical modeling: OLS/WLS/GLS, GLM (logit, probit, Poisson), time series (ARIMA, VAR), mixed effects, diagnostics.

brycewang-stanford/Auto-Empirical-Research-Skills

Complex survey analysis: strata/PSU/weights, variance estimation (Taylor, BRR, jackknife, bootstrap), survey GLM, domain analysis, calibration.

brycewang-stanford/Auto-Empirical-Research-Skills

Applied statistics for business and product questions — test selection, assumption checks, power planning, effect sizes with intervals, multiplicity correction.

borghei/Claude-Skills

Interpret completed experimental outputs after host/runtime execution using pre-declared statistical tests, effect/uncertainty estimates, reproducibility checks, and calibrated synthesis.

yogsoth-ai/de-anthropocentric-research-engine

The analysis and lifecycle owner for experiments. An agent skill from ai-analyst-lab/ai-analyst.

ai-analyst-lab/ai-analyst

Market research on a ticker, sector, or theme with dated sources, plus technical screening through the screener, moving-average, momentum, and volatility calculators.

AojdevStudio/Finance-Guru

Generate compression reports for video processing. An agent skill from benchflow-ai/skillsbench.

benchflow-ai/skillsbench

A skill your agent uses when the user is planning a two-arm comparison (an A/B test, a simple RCT, a behavioral study, or a two-model/two-config evaluation) and needs to size it and preregister it…

gaasher/Agent-Loop-Skills

Domain-validated guidance for building hierarchical Bayesian cognitive models with Stan/PyMC: prior specification, model structure, MCMC diagnostics, and posterior predictive checks

NeuroAIHub/BrainPilot

面向 Nature Portfolio 与高影响力期刊的实验设计一致型统计分析、审查和报告技能。用于定义独立实验单位与重复层级、制定统计分析计划、检查数据质量、选择模型与估计量、计算效应量和不确定性、处理多重比较与敏感性分析，并重写 Methods、Results、表格和图注中的统计文本。触发场景包括 Nature 统计、数据统计、statistical analysis、p…

LeonChaoX/qinyan-academic-skills

Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals

ruvnet/ruflo

Generates fact-checked infographic posters by verifying every statistic against peer-reviewed sources before producing the image prompt.

dmccreary/ibook-skills

A skill your agent uses to classify tabular data end-to-end in MATLAB — load a dataset, prepare and clean it, select promising classifiers, train them, and compare accuracies with cross-validation…

matlab/matlab-agentic-toolkit

Fit curves and surfaces interactively with the Curve Fitter app for a complete no-code fitting workflow.

matlab/matlab-agentic-toolkit

Evaluating scientific evidence and claims. An agent skill from jaechang-hits/SciAgent-Skills.

jaechang-hits/SciAgent-Skills

Guide for annotating statistical significance (p-value asterisks) on comparison plots.

jaechang-hits/SciAgent-Skills

A seasoned DBA interviewer who has diagnosed every slow query pattern in production.

PrepLabsAI/InterviewMentor

A skill your agent uses when the user asks about LLM token usage, API call timing, runtime metrics, cost signals, or performance statistics.

ZimoLiao/scholaraio