Use when when you have prediction scores (softmax probabilities, uncertainties) from a trained deep learning model evaluated on a heterogeneous dataset and you need to determine…
Use when after computing aggregate statistics (mean, median, standard deviation, frequency distributions, similarity coefficients) over a large dataset of molecular fingerprints…
Use when you have ranked GCF-MF (Gene Cluster Family–Molecular Family) links using two or more independent scoring functions and a set of experimentally validated links.
Use when when you have peak area tables (unlabeled C12 and labeled C13) from LC-MS metabolomics with sample metadata indicating case and control groups, and you need to…
Use when you have computed raw or standardised correlation scores (or other link-ranking metrics) for all possible GCF-MF pairs in a dataset and want to verify that validated…
Use when after log-transformation and missing-value imputation of a metabolomics
Draw honest conclusions from samples using hypothesis tests, confidence intervals, and significance read correctly.
Evaluate Fermi-Dirac, Gauss-Fermi, and Blakemore statistical integrals for carrier density calculations in semiconductor simulations.
Regression analysis, ANOVA, generalized linear models, Bayesian methods, and model selection. Covers the full modeling workflow from problem formulation through diagnostics --…
Use when asked to calculate statistical power, determine sample size, or plan experiments for hypothesis testing.
Use when when a statistical method offers a parameter to trade computational cost for precision (e.
Use when when you have leiden or louvain cluster assignments in single-cell data (stored in adata.obs) and need to identify cluster-specific marker genes.
Translates the key findings of a statistical report into plain, journalist-ready language — pulling out the numbers that matter, explaining what they mean, and flagging anything…
Use when when you have run the same mass spectrum through molecular formula assignment under different parameter settings (e.
Guide for annotating statistical significance (p-value asterisks) on comparison plots. Covers standard notation (ns, *, **, ***, ****), matplotlib bracket+asterisk implementation,…
Statistical Significance Calculator - Auto-activating skill for Data Analytics. Triggers on: statistical significance calculator, statistical significance calculator Part of the…
Use when you have sampled flux distributions from two or more constraint-based metabolic models representing different biological conditions (e.
Use when after standardizing link scores (strain correlation and IOKR) across all potential GCF-MF pairs in a metabologenomics dataset, perform significance testing to determine…
Use when when you have a table of execution times or performance metrics indexed by two or more categorical dimensions (e.g., plot_type × backend, or sample × condition), and you…
Use when when you have run differential methylation analysis in methylKit and need to validate whether overdispersion correction (overdispersion='MN') produces appropriately…
Statistical hypothesis testing frameworks for data analysis. Reference when choosing between parametric and non-parametric tests, designing hypothesis tests, computing power and…
Use when a task needs the judgment of a Statistician — designing a sampling or experimental protocol, determining sample size or power, choosing and defending a hypothesis-testing…
Use when selecting statistical methods, performing power analysis, guiding uncertainty quantification, or validating MCMC/Monte Carlo implementations.
10 statistical analysis skills. Trigger: statistical tests, Bayesian analysis, hypothesis testing, sampling.
Rewrites a complex statistic — including percentage changes, relative risk, confidence intervals, medians, and index numbers — in plain language that a general audience can…
Analyzes statistics used in a draft article and flags any that are misrepresented, lack context, use misleading framing, or require additional sourcing before publication.
Statistics, probability, linear algebra, and mathematical foundations for data science
Compiles a structured set of credible, ready-to-cite statistics on a specific topic, sourced from recognised institutions, government databases, and peer-reviewed research.
Verify statistics from raw data with methodology checking, significance testing, claim validation, and bias detection.
生信统计与可视化 skill。用于实验统计设计、PCA/UMAP、volcano、MA、heatmap、survival、regression、multiple testing、batch correction、SHAP、publication-ready figures 和 QC 图表规划。
Recommends the appropriate statistical test given a data description and research question, including assumption checks, alternatives if violated, sample-size guidance, and…
Track and analyze Claude Code usage statistics for CircleTel development. Use to monitor productivity, track model usage, view usage streaks, and optimize development workflow…
Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods.
Statistical models library for Python. Use when you need specific model classes (OLS, GLM, mixed models, ARIMA) with detailed diagnostics, residuals, and inference.
Statsmodels is Python's premier library for statistical modeling, providing tools for estimation, inference, and diagnostics across a wide range of statistical methods.
Python statistical modeling: regression (OLS, WLS, GLM), discrete (Logit, Poisson, NegBin), time series (ARIMA, SARIMAX, VAR), with rigorous inference, diagnostics, and hypothesis…
Use when training a deeply regularized deep neural network on a large molecular feature dataset (e.
Use when after identifying statistically significant LC-MS features (e.g., via MB-VIP with p < 0.01 and permutation testing), when you need to consolidate multiple ionization and…
Use when after you have identified statistically significant LC-MS features and run MamsiStructSearch to generate structural clusters (isotopologue groups, adduct groups,…
Designs statistical arbitrage pairs with cointegration analysis, spread dynamics, and entry/exit signal calibration.
Use when when you need to quantify and compare the effect of multiple filtering thresholds (e.g., Match.Factor ≥65, ≥80, ≥90) on the size of a retained compound set.
Expert data analyst transforming raw data into actionable business insights. Creates dashboards, performs statistical analysis, tracks KPIs, and provides strategic decisi — from…
Evaluate survey data pipelines and research methodology. Analyzes response bias detection (speeders, straight-liners, bots), statistical significance testing (t-test, chi-square,…
Design and execute insect population surveys covering survey design, sampling methods, field execution, specimen identification, diversity index calculation including…
Kaplan-Meier survival analysis tool for clinical and biological research. Generates publication-ready survival curves with statistical tests.
Designs production-ready, perfectly looping SVGs. Use when generating animated emotes, loaders, or math-driven vector graphics.
Använd denna färdighet när användaren frågar om svensk statistik, svenska befolkningsdata, ekonomisk data för Sverige, svensk arbetsmarknad, svensk miljöstatistik,…
Använd denna färdighet när användaren frågar om Trafikanalys, transportstatistik, fordon i trafik, bilregistreringar, nyregistreringar, fordonskilometer, järnvägstransport,…
Use when when you have a set of MS/MS spectra with ground-truth structural similarity labels (Tanimoto scores computed from molecular fingerprints) and need to choose a decision…
Use when building or cleaning the exhibits for a The Accounting Review (TAR) manuscript — descriptive, correlation, and regression tables, event-study and discontinuity figures,…
Project manager and task delegation system. Use when you need to break down complex work into smaller tasks, assign appropriate AI models based on complexity, spawn sub-agents for…
Translate technical analysis into business language. Use when explaining statistical concepts to non-analysts, simplifying technical findings, or bridging communication between…
Telegram bot Todo List manager. Three commands: /todo query (show tasks), /todo organize (add/delete/edit tasks), /todo execute (complete tasks). Uses TODO.md file.
LLM-based text classification. Codebook, validation, agreement statistics.
textstat is a Python package that calculates readability statistics for text content, including Flesch Reading Ease, Gunning Fog Index, SMOG Index, Coleman-Liau Index, and…
Abductive reasoning about causes. Takes a phenomenon, separates observations from interpretations, then spawns diagnosticians applying different reasoning lenses (technical,…
Three-layer skill quality evaluation (Static → LLM Judge → Monte Carlo). Layer 1: deterministic checks (frontmatter, triggers, size, links) in <2s.
Time series analysis and forecasting methods from classical statistics to foundation models. Reference when decomposing temporal patterns, selecting forecasting models, handling…
Analyzes time-series data for patterns, trends, seasonality, and anomalies, with forecasting using statistical and machine learning methods.
Fast and accurate code statistics tool written in Rust. Counts lines of code, comments, and blanks across 200+ languages, with output in JSON, YAML, or CBOR for programmatic…