Use Case
Data Anomaly Detector isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods. This guide covers how to deploy Data Anomaly Detector for your team, standardize prompts, and create shared workflows that everyone can use.
Install Data Anomaly Detector in your project directory: .claude/skills/data-anomaly-detector/
Commit the skill folder to your repository so the whole team has access
Document your team's standard prompts in a shared README
Use Data Anomaly Detector in code reviews, standups, and planning sessions
Iterate: collect feedback from the team and refine your prompts
Copy these prompts and use them with your AI agent after installing Data Anomaly Detector
How can my team use Data Anomaly Detector together?
Set up Data Anomaly Detector for our project so everyone can use it
Create a shared workflow using Data Anomaly Detector for our team
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.