Use Case
Stop doing repetitive data & analytics tasks manually. Data quality & reconciliation with exception lets your AI agent handle them automatically through natural conversation. 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 shows practical examples of using Data quality & reconciliation with exception to automate common data & analytics workflows and save hours every week.
Install Data quality & reconciliation with exception: npx clawhub@latest --dir ~/.claude/skills install data-reconciliation-exceptions
Identify the repetitive data & analytics tasks you want to automate
Describe the task to your AI in plain English
Data quality & reconciliation with exception 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 quality & reconciliation with exception
Automate my data & analytics tasks using Data quality & reconciliation with exception
What repetitive tasks can Data quality & reconciliation with exception handle for me?
Set up a workflow that runs Data quality & reconciliation with exception every morning
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.