Results for “statistical-test”
28 skillsExperiment Designer
Design, prioritize, and evaluate product experiments with clear hypotheses and defensible decisions, including A/B testing, sample size estimation, and statistical interpretation.
20.4k · bundle
A B Test Calculator
Designs A/B tests with sample size calculation, statistical significance testing, and result interpretation
6 · bundle
Ab Test Analyzer
Analyze A/B test results for statistical significance with ship, extend, or kill recommendations
2 · bundle
Ads Test
A/B test design and experiment planning for paid advertising. Structured hypothesis framework, statistical significance calculator, test duration estimator, sample size calculator, and platform-specific experiment setup guides (Meta Experiments, Google Experiments, LinkedIn A/B). Use when user says A/B test, split test, experiment design, test hypothesis, statistical significance, sample size, or test duration.
8
Ab Testing Framework
A/B and multivariate testing methodology. Design experiments, calculate sample sizes, determine statistical significance, avoid common pitfalls, and interpret results. Platform-agnostic framework applicable to landing pages, emails, ads, pricing, and product features. Use when the user asks about A/B testing, split testing, experiment design, statistical significance, or conversion experiments.
105 · bundle
More results
Altair Python
Build, review, debug, or test declarative statistical visualizations in Python with Altair and Vega-Lite, including chart marks, typed encodings, transforms, parameters, layers, facets, and specification export.
0 · bundle
Constant Time Testing
Detect timing side channels in cryptographic code using formal, symbolic, dynamic, and statistical testing tools.
6k · bundle
Ab Testing Statistics
Design and evaluate A/B tests with power, sample size, and robust metric interpretation. Use when: (1) planning controlled experiments, (2) reading p-values/effects, (3) sequential testing safeguards. NOT for: dark-pattern optimization.
0
Statistical Consultation Protocol
Use when selecting a statistical test with AI consultation, when assumptions need checking against the actual data, when an analysis plan or decision log must be written before running anything, or when results need APA-style reporting with effect sizes.
2
Big Data Based Testing
Big Data Based Testing Skill
1 · bundle
Ab Test Analysis
Analyze A/B test results with statistical significance, sample size validation, confidence intervals, and ship/extend/stop recommendations. Use when evaluating experiment results, checking if a test reached significance, interpreting split test data, or deciding whether to ship a variant.
0
Statistical Power
Calculate sample sizes, minimum detectable effects, and power curves for study planning using closed-form formulas or Monte Carlo simulation.
30.2k · bundle
Skill Tester
Skill Tester
3 · bundle
Big Data Testing Expert
Big Data Testing Expert Skill
1 · bundle
Performing Ssl Stripping Attack
Simulates SSL stripping attacks using sslstrip, Bettercap, and mitmproxy in authorized environments to test HSTS enforcement, certificate validation, and HTTPS upgrade mechanisms.
24.6k · bundle
Skill Tester
Validates, tests, and scores the quality of skills within a claude-skills ecosystem using Python scripts that check structure, syntax, runtime, and multi-dimensional quality metrics.
20.4k · bundle
Systematic Debugging
Diagnose failures from runtime evidence before editing code.
4
Acoustics Based Testing
Acoustics Based Testing Skill
1 · bundle
Static Analysis
Configures and runs static analysis and linting tools across multiple languages, integrating with CI/CD and security platforms.
4
Calculus Based Testing
Calculus Based Testing Skill
1 · bundle
Assertion Quality
Analyzes test suites to measure assertion diversity, detect shallow or trivial assertions, and identify tests that lack meaningful verification.
4k
Robustness
Checklist of empirical robustness tests for finance/economics papers
1k
Backtest Expert
Provides expert guidance for systematic backtesting of trading strategies, covering methodology, stress testing, bias prevention, and result interpretation.
2.3k · bundle
Locust
Performs load testing with Locust, Python-based distributed testing, and real-time web UI.
2 · bundle
Advanced Logic Testing
Advanced Logic Testing Skill
1 · bundle
Pair Trade Screener
Identifies and analyzes statistical arbitrage opportunities through pair trading, using correlation analysis, cointegration testing, and z-score calculations to generate entry/exit signals for market-neutral strategies.
2.3k · bundle
Pine Backtester
Implements comprehensive backtesting capabilities for Pine Script indicators and strategies. Use when adding performance metrics, trade analysis, equity curves, win rates, drawdown tracking, or statistical validation. Triggers on "backtest", "performance", "metrics", "win rate", "drawdown", or testing requests.
1
E1
E1-Quantitative Analysis Guide with Code Generation & Sensitivity Analysis VS-Enhanced with Full 5-Phase process: Avoids obvious analyses, explores innovative methodologies Expanded to include qualitative analysis (thematic, grounded theory, content, narrative) Absorbed E4 (Analysis Code Generator) and E5 (Sensitivity Analysis - Primary Study) capabilities Use when: selecting statistical/qualitative methods, interpreting results, checking assumptions, generating code, sensitivity analysis Triggers: statistical analysis, ANOVA, regression, t-test, power analysis, assumption checking, effect size, thematic analysis, grounded theory, content analysis, narrative analysis, NVivo, ATLAS.ti, coding, qualitative data, R code, Python code, SPSS syntax, sensitivity analysis, robustness check
1k