gl-recon

Reconcile general ledger and subledger accounts by matching keys and comparing columns.

1|Updated Feb 1, 2026
One-click install
npx skills add https://github.com/mouseqiao85/AI-Plat --skill gl-recon-mouseqiao85
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: gl-recon
Source: https://github.com/mouseqiao85/AI-Plat/tree/main/agent/skills/gl-recon
Command: npx skills add https://github.com/mouseqiao85/AI-Plat --skill gl-recon-mouseqiao85

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires , and includes scripts (resource) components.

What problem does it solve?

This Skill automates the reconciliation process between general ledger and subledger accounts, simplifying financial audits and ensuring data accuracy.

Core Features & Use Cases

  • GL & Subledger Reconciliation: Matches records from both ledgers and identifies discrepancies.
  • Breakdown & Classification: Categorizes breaks into timing, FX, mapping, duplicates, and data quality issues.
  • Detailed Reporting: Generates detailed break reports and summary statistics.
  • Use Case: Use this Skill daily or month-end to verify account balances and spot discrepancies quickly.

Quick Start

Use the gl-recon skill to reconcile GL and subledger data for the current fiscal month.

Frequently Asked Questions about gl-recon

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate general ledger and subledger reconciliation?

Automate GL and subledger reconciliation by matching records based on designated keys and comparing columns like quantities and amounts to identify discrepancies. The process requires normalization, matching, and classification to ensure financial data integrity.

What is GL reconciliation and how does it classify account breaks?

GL reconciliation verifies data integrity between ledgers by identifying discrepancies and categorizing breaks into timing, FX, mapping, duplicates, and data quality issues. It generates detailed break reports and summary statistics for financial audits.

How do I identify mapping and data quality discrepancies during financial reconciliation?

Identify mapping and data quality discrepancies during financial reconciliation by matching records between ledgers and categorizing the resulting breaks. The classification process isolates these specific data quality issues alongside timing, FX, and duplicate breaks.

Can I use this GL reconciliation process for month-end account balance verification?

Yes, you can use this GL reconciliation process for month-end account balance verification. It matches records from both ledgers to spot discrepancies quickly, ensuring data accuracy and simplifying financial audits on a daily or monthly basis.

What data normalization is required before matching general ledger and subledger records?

Data normalization is required to standardize records before matching general ledger and subledger data. This preparatory step ensures that matching keys and comparison columns like quantities and amounts align correctly for accurate discrepancy identification.