Use Case
Data Anomaly Detector is a powerful AI agent skill that extends your assistant with new capabilities. Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods. This guide walks you through installing Data Anomaly Detector, configuring it for your setup, and running your first commands β so you can start getting value in minutes.
Install Data Anomaly Detector: npx clawhub@latest --dir ~/.claude/skills install data-anomaly-detector
Restart your AI client (Claude Code, Cursor, Gemini CLI, or OpenClaw)
Type a natural language request related to data & analytics to trigger Data Anomaly Detector
Review the output and refine your prompt for better results
Combine Data Anomaly Detector with other skills to build multi-step workflows
Copy these prompts and use them with your AI agent after installing Data Anomaly Detector
Help me get started with Data Anomaly Detector
What can Data Anomaly Detector do for my data & analytics workflow?
Show me an example of using Data Anomaly Detector
Select your agent
Option 1: Install via CLI (recommended)
Recommended (no pre-install needed)
npx clawhub@latest --dir ~/.claude/skills install data-anomaly-detectorOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install data-anomaly-detectorβ οΈ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js β
Option 2: Manual install (no Node required)
Download the ZIP, extract it, and place the folder at the path below. Restart your agent to activate.
Install path
~/.claude/skills/data-anomaly-detector/π‘Extract and place the folder at the path above, then restart your agent.