Use Case
Data quality & reconciliation with exception isn't just for solo use — teams can share skills and build consistent AI workflows across the organization. Reconciles data sources using stable identifiers (Pay Number, driving licence, driver card, and driver qualification card numbers), producing exception reports and “no silent failure” checks. Use when you need weekly matching with explicit reasons for non-joins and mismatches. This guide covers how to deploy Data quality & reconciliation with exception for your team, standardize prompts, and create shared workflows that everyone can use.
Install Data quality & reconciliation with exception in your project directory: .claude/skills/data-reconciliation-exceptions/
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 & reconciliation with exception 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 & reconciliation with exception
How can my team use Data quality & reconciliation with exception together?
Set up Data quality & reconciliation with exception for our project so everyone can use it
Create a shared workflow using Data quality & reconciliation with exception 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-reconciliation-exceptionsOr via clawhub CLI (if already installed)
clawhub --dir ~/.claude/skills install data-reconciliation-exceptions⚠️ Requires Node.js 18+. No Node? Use Option 2 below to download the ZIP instead. Install Node.js →
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-reconciliation-exceptions/💡Extract and place the folder at the path above, then restart your agent.