by phuryn
Perform cohort-analysis on user retention, engagement decay, and feature adoption by cohort. This cohort-analysis skill is built for Data Analysis workflows that need validation, calculation, visualization, and clear insights from structured user behavior data.
by phuryn
ab-test-analysis helps you evaluate A/B test results with statistical rigor, including sample size validation, confidence intervals, significance testing, and ship/extend/stop recommendations. Use it for experiment review, split-test interpretation, and decision-making for Data Analysis workflows.
by K-Dense-AI
The statsmodels skill helps you use statsmodels for data analysis in Python when you need statistical models, inference, and diagnostics. It fits OLS, GLM, discrete outcomes, time series, and mixed models, with coefficient tables, p-values, confidence intervals, and assumption checks. Use this statsmodels guide for econometrics, forecasting, and defensible reporting.
by K-Dense-AI
The statistical-analysis skill helps you choose, run, and report defensible tests for Data Analysis, including assumptions, effect sizes, power, and APA-style results. Use it for academic research, experiments, and observational studies when test selection and clear reporting matter more than coding a specific model.
by K-Dense-AI
scikit-survival skill for survival analysis and time-to-event modeling in Python. Use this guide for censored data, Cox models, random survival forests, gradient boosting, Survival SVMs, and survival metrics like concordance index and Brier score.
by K-Dense-AI
scientific-critical-thinking helps evaluate scientific claims, study design, bias, confounding, and evidence quality. Use it for critical analysis, literature review support, GRADE or Cochrane risk-of-bias checks, and scientific-critical-thinking for Peer Review-style assessment of what a paper can truly support.
by K-Dense-AI
PyMC is a Bayesian modeling skill for building, fitting, checking, and comparing probabilistic models in Python. Use pymc for hierarchical regression, multilevel analysis, time series, missing data, measurement error, and model comparison with LOO or WAIC.
by K-Dense-AI
The peer-review skill helps you write formal, evidence-based manuscript and grant reviews. Use it to assess methodology, statistics, reproducibility, ethics, and reporting standards like CONSORT, STROBE, or PRISMA, with constructive feedback that authors and editors can act on.
by K-Dense-AI
The exploratory-data-analysis skill turns scientific files into format-aware EDA reports. It detects file type, summarizes structure and quality, extracts key metadata, and suggests downstream analysis. Use it for exploratory-data-analysis for Data Analysis across chemistry, bioinformatics, microscopy, spectroscopy, proteomics, metabolomics, and other scientific file formats.
