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ViviennaMAO
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gl-recon

Reconcile general ledger and subledger data with Python.

26|2|Updated Apr 30, 2026
Search Tags:#error detection#financial reporting#data matching#subledger reconciliation#GL reconciliation
One-click install
npx skills add https://github.com/ViviennaMAO/money_banking_financial_market --skill gl-recon-viviennamao
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gl-recon
Source: https://github.com/ViviennaMAO/money_banking_financial_market/tree/main/financial-services-main/plugins/vertical-plugins/fund-admin/skills/gl-recon
Command: npx skills add https://github.com/ViviennaMAO/money_banking_financial_market --skill gl-recon-viviennamao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill automates the reconciliation process between the general ledger and subledgers, ensuring accurate financial reporting and identifying discrepancies with ease.

Core Features & Use Cases

  • Reconciliation Automation: Automatically match and reconcile records between the general ledger and subledgers.
  • Discrepancy Identification: Surface and classify breaks in reconciliation by likely cause.
  • Use Case: Ideal for daily or month-end reconciliation runs across various asset classes, helping financial teams maintain accurate records and detect errors quickly.

Quick Start

Run the gl-recon skill to reconcile the general ledger with subledgers for the current trade date or period.

Frequently Asked Questions about gl-recon

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

FAQPage Schema
How do I automate GL and subledger reconciliation for month-end reporting?▼

GL and subledger reconciliation is automated by matching records at the position or transaction level, identifying breaks by likely cause, and classifying them. It requires data extracts from both systems and uses Python for processing.

What is the best way to identify and classify discrepancies between general ledger and subledger data?▼

Identifying and classifying discrepancies between the general ledger and subledger data is handled automatically by matching records and surfacing breaks by their likely cause, ensuring accurate financial reporting.

Do I need Python to run automated subledger and general ledger reconciliation?▼

Yes, Python is required for processing the data extracts. The reconciliation automation uses Python scripts to match records between the general ledger and subledgers and identify financial breaks.

Can I use automated reconciliation for daily trade date matching across asset classes?▼

Yes, automated reconciliation is ideal for daily or month-end runs across various asset classes. It matches records at the position or transaction level to help financial teams detect errors quickly.

How does data matching work for general ledger reconciliation when records do not align?▼

Data matching works by comparing general ledger and subledger extracts at the position or transaction level. When records do not align, it surfaces the breaks and classifies them by their likely cause.

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