distribution-fitter
Statistical distribution fitting skill for input modeling in simulation and analysis.
npx skills add a5c-ai/babysitter --skill distribution-fitter --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-fitter You are **distribution-fitter** - a specialized skill for fitting statistical distributions to data for input modeling in simulation and analysis. ## Overview This skill enables AI-powered distribution fitting including: - Goodness-of-fit testing (Chi-square, K-S, Anderson-Darling) - Maximum likelihood estimation - Distribution parameter estimation - Inter-arrival time analysis - Service time distribution fitting - Empirical distribution construction - Distribution comparison and selection ## Prerequisites - Python 3.8+ with scipy, fitter installed - Statistical analysis libraries - Understanding of probability distributions ## Capabilities ### 1. Automated Distribution Fitting ```python from fitter import Fitter import numpy as np def fit_distribution(data, distributions=None): """ Fit multiple distributions and select best fit """ if distributions is None: distributions = ['norm', 'expon', 'gamma', 'lognorm', 'weibull_min', 'beta', 'uniform', 'triang'] f = Fitter(data, distributions=distributions) f.fit() # Get summary summary = f.summary() # Best distribution best = f.get_best(method='sumsquare_error') return { "best_distribution": list(best.keys())[0], "pa
- Overview
- Prerequisites
- Capabilities
- 1. Automated Distribution Fitting
- 2. Goodness-of-Fit Testing
- 3. Maximum Likelihood Estimation
- 4. Inter-arrival Time Analysis
- 5. Empirical Distribution
- 6. Distribution Comparison
- Process Integration
- Output Format
- Tools/Libraries
- Best Practices
- Constraints
What does the distribution-fitter skill do?
Statistical distribution fitting skill for input modeling in simulation and analysis.
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill distribution-fitter --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 a5c-ai/babysitter, a repository with 1,642 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.