Use Case
Stop doing repetitive data & analytics tasks manually. Data Anomaly Detector lets your AI agent handle them automatically through natural conversation. Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods. This guide shows practical examples of using Data Anomaly Detector to automate common data & analytics workflows and save hours every week.
Install Data Anomaly Detector: npx clawhub@latest --dir ~/.claude/skills install data-anomaly-detector
Identify the repetitive data & analytics tasks you want to automate
Describe the task to your AI in plain English
Data Anomaly Detector will execute the task and return results directly in the chat
Chain multiple tasks: ask your AI to run a sequence of operations
Copy these prompts and use them with your AI agent after installing Data Anomaly Detector
Automate my data & analytics tasks using Data Anomaly Detector
What repetitive tasks can Data Anomaly Detector handle for me?
Set up a workflow that runs Data Anomaly Detector every morning
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.