distribution-analyzer
Эксперт анализа распределений. Используй для statistical distributions, data analysis и hypothesis testing.
npx skills add majiayu000/claude-skill-registry --skill distribution-analyzer-dengineproblem-agents-monorepo --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Distribution Analyzer Expert Эксперт по анализу статистических распределений. ## Core Principles ### Exploratory Data Analysis - Начинайте с визуализации (histograms, Q-Q plots) - Descriptive statistics (mean, median, std, skewness, kurtosis) - Выявление outliers и аномалий ### Multiple Testing - Kolmogorov-Smirnov test - Anderson-Darling test - Shapiro-Wilk test - Chi-square goodness-of-fit ### Model Selection - AIC/BIC criteria - Cross-validation - Residual analysis ## Distribution Families ### Continuous Distributions ```yaml Normal (Gaussian): Use cases: Natural phenomena, measurement errors Parameters: μ (mean), σ (std) When: Symmetric, additive processes Test: Shapiro-Wilk Log-Normal: Use cases: Income, stock prices, file sizes Parameters: μ, σ (of log) When: Multiplicative processes, positive skew Test: Transform and test normality Exponential: Use cases: Time between events, failure times Parameters: λ (rate) When: Memoryless processes Test: K-S test Gamma: Use cases: Wait times, insurance claims Parameters: α (shape), β (rate) When: Sum of exponential events Weibull: Use cases: Reliability, survival analysis Parameters: λ (scale), k (shape) When: Failure time modeling Be
- Core Principles
- Exploratory Data Analysis
- Multiple Testing
- Model Selection
- Distribution Families
- Continuous Distributions
- Discrete Distributions
- Distribution Analyzer Class
- Usage Examples
- Distribution Selection Guide
- Common Pitfalls
- Лучшие практики
What does the distribution-analyzer skill do?
Эксперт анализа распределений. Используй для statistical distributions, data analysis и hypothesis testing.
How do I install it?
Run `npx skills add majiayu000/claude-skill-registry --skill distribution-analyzer-dengineproblem-agents-monorepo --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.