# Matlab Analyze Reliability

Use this skill when fitting accelerated life models, computing mean time to failure...

- Repository: https://github.com/matlab/matlab-agentic-toolkit (1237 stars)
- Category: Engineering
- License: see repository
- Last updated: 2026-10-27
- Runs scripts: no, instructions only

## Install

Claude Code: `npx skills add matlab/matlab-agentic-toolkit --skill matlab-analyze-reliability -g -a claude-code -y`
Codex: `npx skills add matlab/matlab-agentic-toolkit --skill matlab-analyze-reliability -g -a codex -y`
Cursor: `npx skills add matlab/matlab-agentic-toolkit --skill matlab-analyze-reliability -g -a cursor -y`
Gemini CLI: `npx skills add matlab/matlab-agentic-toolkit --skill matlab-analyze-reliability -g -a gemini-cli -y`
Claude Code plugin marketplace: `/plugin marketplace add matlab/matlab-agentic-toolkit`

## Description

Use this skill when fitting accelerated life models, computing mean time to failure (MTTF), B10 life and similar quantities, fitting life distributions like Weibull for reliability analysis, comparing distribution fits, computing confidence intervals on reliability quantities with bootstrapping, performing lifetime prediction, computing failure rates, plotting Kaplan-Meier curves, computing survival functions, or doing reliability analysis.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# matlab-analyze-reliability

Fit and evaluate probability distributions for use in reliability workflows in MATLAB using the recommended APIs and probability distribution framework 
(`fitdist`, `makedist`, `pdf`, `icdf`, `cdf`, `probplot`, `bootci`, `fitacclife`, `meanfailtime`).

## When to Use

Activate this skill when a user asks to:

- Fit an accelerated life model
- Compute standard quantities in a reliability analysis, such as mean time to failure (MTTF) or B10
- Fit life distributions, such as Weibull, for determining the lifetime/reliability of something
- Compare multiple distribution fits to determine the best model for failure data
- Estimate product reliability using lifetime/failure data
- Compute a survival/survivor function
- Plot a Kaplan-Meier curve or compute an empirical CDF of failure data
- Fit a distribution to censored failure data

## When NOT to Use

Do not activate this skill when:

- Fitting probability distributions for general statistical analysis without a reliability or lifetime context
- Performing hypothesis testing, ANOVA, or regression
- Computing capability indices (Cpk) or control charts for statistical process control as a standalone workflow
- Running simulation-based reliability analysis (Monte Carlo, fault trees)

## Key Functions

The rest: https://github.com/matlab/matlab-agentic-toolkit/blob/HEAD/skills-catalog/ai-and-statistics/matlab-analyze-reliability/SKILL.md