Matlab Analyze Reliability
Use this skill when fitting accelerated life models, computing mean time to failure...
Install
npx skills add matlab/matlab-agentic-toolkit --skill matlab-analyze-reliability -g -a claude-code -y- Repository
- matlab/matlab-agentic-toolkit1.2k
- Category
- Engineering
- Updated
- 8d ago
- License
- See repository
- Context cost
- Mediumabout 3,000 tokens
- Runs scripts
- No, instructions only
What it does
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.
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)
