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.
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,…
Translate technical analysis into business language. Use when explaining statistical concepts to non-analysts, simplifying technical findings, or bridging communication between…
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.
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…
Identify and prioritize causal variants at GWAS loci using statistical fine-mapping and locus-to-gene predictions.
Compare GWAS studies, perform meta-analyses, and assess replication across cohorts. Integrates NHGRI-EBI GWAS Catalog and Open Targets Genetics to compare study designs, effect…
Production-ready microscopy image analysis and quantitative imaging data skill for colony morphometry, cell counting, fluorescence quantification, and statistical analysis of…
Build and interpret polygenic risk scores (PRS) for complex diseases using GWAS summary statistics. Calculates genetic risk profiles, interprets PRS percentiles, and assesses…
Perform statistical modeling and regression analysis on biomedical datasets. Supports linear regression, logistic regression (binary/ordinal/multinomial), mixed-effects models,…
Design and backtest trading strategies using technical indicators, fundamental analysis, and statistical models.
Diagnose why website traffic changed. Use when the user asks "why did traffic drop/spike", investigates an anomaly, or wants to separate tracking regressions from real behaviour…
Generates structured summaries of traffic law enforcement data covering DUI metrics, violation trends, enforcement outcomes, and resource allocation.
Generate a comprehensive HTML training dashboard showing progress toward half marathon training goals.
Analyze the TWDA (Tournament Winning Deck Archive) to refresh the site's slow-moving content — best-cards stats and top-archetype identification via deck clustering.
Generates complete two-sample Mendelian randomization research designs from a user-provided outcome, exposure or exposure family, and robustness direction.
Reviews umbrella reviews and second-order meta-analyses. Use when synthesizing existing systematic reviews/meta-analyses, assessing primary-study overlap, duplicate evidence,…
Use when targeting Conference on Uncertainty in Artificial Intelligence (UAI) or deciding whether a computer-science manuscript fits this venue.
Use when you have a preprocessed feature table from non-targeted LC-MS/MS metabolomics data (after data merging, cleanup, blank removal, and batch correction) and need to test…
Use when after running omu_summary (t-test) or omu_anova (ANOVA) on metabolomics
Universal Meta-Analysis Codebook v2.2 - AI-Human collaboration for meta-analysis data extraction. 4-layer design: Identifiers, Statistics, AI Provenance, Human Verification.
Use when when you have raw untargeted LC-MS metabolomics data and need to detect low-quality or mis-integrated peaks in an XCMS-processed xcmsSet object before performing…
Generates user-facing usage statistics, activity summaries, and personalized insights dashboards (weekly recaps, year-in-review, Spotify Wrapped-style).
Query the U.S. Treasury Fiscal Data API for federal financial data including national debt, government spending, revenue, interest rates, exchange rates, and savings bonds.
Use when starting any data analysis, statistics, econometrics, or causal-inference task in R, Julia, or Python — establishes the Causal Powers discipline and routes to the right…
Guides the methodology for investigating V8 concepts, codebase structure, performance, memory, and architecture.
Validate statistical analysis output through double programming, independent verification, and reference comparison.
Show statistics and overview of the Obsidian vault — note counts, type/tag distribution, recent activity.
Create data-driven charts with Vega-Lite (declarative) and Vega (programmatic). Best for statistical visualization of numeric data — bar, line, scatter, heatmap, area, radar…
Server-side extension that completes the full analysis pipeline for continuous outcome variables after vera-stat-continuous-testing has run.
Use BEFORE asserting any fact you're not 100% certain about. Anti-hallucination protocol. Triggers latest, recent, current, какая версия, что нового в, как сейчас принято, в новой…
Generate an HTML dashboard visualizing all installed Claude Code skills, plugins, and MCP servers with usage statistics and martial arts belt levels.
Generates a chronological timeline of warranty requests, claims, and complaints for product defect litigation, regulatory proceedings, or internal investigations.
Fetch current, hourly, and daily weather forecasts and display required attribution using WeatherKit.
IRB/ethics committee research protocol generator. Produces 4 core sections (Background, Study Design, Sample Size, Statistical Plan) with full prose, plus 6 skeleton sections with…
Write correct, performant Julia for research. Use whenever the user runs Julia, writes hot numeric code, or does numerical experiments, AD/gradients, optimization, symbolic…