Use Case
Data Quality Check isn't just for solo use β teams can share skills and build consistent AI workflows across the organization. Assess construction data quality using completeness, accuracy, consistency, timeliness, and validity metrics. Automated validation with regex patterns, thres... This guide covers how to deploy Data Quality Check for your team, standardize prompts, and create shared workflows that everyone can use.
Install Data Quality Check in your project directory: .claude/skills/data-quality-check/
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 Quality Check 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 Quality Check
How can my team use Data Quality Check together?
Set up Data Quality Check for our project so everyone can use it
Create a shared workflow using Data Quality Check 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-quality-checkOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install data-quality-checkβ 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-quality-check/π‘Extract and place the folder at the path above, then restart your agent.