What is anomaly-detector?
Detect anomalies in data using statistical and ML methods. Z-score, IQR, Isolation Forest, and time-series anomalies. Source: majesticlabs-dev/majestic-marketplace.
Detect anomalies in data using statistical and ML methods. Z-score, IQR, Isolation Forest, and time-series anomalies.
Quickly install anomaly-detector AI skill to your development environment via command line
Source: majesticlabs-dev/majestic-marketplace.
Goal: Provide production-ready anomaly detection functions for various data types.
| Z-Score | Normal distributions | Sensitive to outliers | | IQR | Skewed distributions | Less sensitive overall | | Modified Z-Score | Robust detection | Slower computation | | Isolation Forest | High-dimensional data | Requires tuning | | LOF | Local density anomalies | Computationally expensive |
| Rolling | Time-series with trends | Window size sensitive | | STL | Seasonal time-series | Requires known period |
Detect anomalies in data using statistical and ML methods. Z-score, IQR, Isolation Forest, and time-series anomalies. Source: majesticlabs-dev/majestic-marketplace.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill anomaly-detectorBrowse more skills from majesticlabs-dev/majestic-marketplace
Detect anomalies in data using statistical and ML methods. Z-score, IQR, Isolation Forest, and time-series anomalies. Source: majesticlabs-dev/majestic-marketplace.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/majesticlabs-dev/majestic-marketplace --skill anomaly-detector Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/majesticlabs-dev/majestic-marketplace