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gl-recon

Reconcile general ledger and subledger data to detect differences and classify causes.

34.1k|5.1k|Updated Feb 23, 2026
Search Tags:#financial data#reconciliation#general ledger#discrepancy detection#subledger#break classification
One-click install
npx skills add https://github.com/anthropics/financial-services --skill gl-recon-anthropics
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: gl-recon
Source: https://github.com/anthropics/financial-services/tree/main/plugins/vertical-plugins/fund-admin/skills/gl-recon
Command: npx skills add https://github.com/anthropics/financial-services --skill gl-recon-anthropics

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill addresses the challenge of accurately reconciling general ledger accounts with subledgers, identifying discrepancies efficiently, and classifying their likely causes to ensure financial data integrity.

Core Features & Use Cases

  • Data normalization and comparison: Aligns GL and subledger extracts by key and comparison columns to facilitate matching.
  • Discrepancy detection: Identifies mismatches based on amount, quantity, timing, and presence on either side.
  • Cause classification: Assigns likely causes to each break for root-cause analysis.
  • Use Case: Financial teams can automate daily or period-end reconciliation processes across multiple asset classes, reducing manual effort and minimizing errors.

Quick Start

Provide the GL and subledger data extracts to this Skill in the required format to produce a match and discrepancy report immediately.

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?▼

This Skill automates general ledger and subledger reconciliation by normalizing data extracts, running matching algorithms, and generating detailed break reports with classified causes.

What is the best way to classify reconciliation breaks by cause?▼

Classify reconciliation breaks by using this Skill to assign likely causes to each mismatch, enabling root-cause analysis based on differences in amount, quantity, timing, or missing entries.

Can I use this for period-end reconciliation across multiple asset classes?▼

Yes, this Skill is suitable for financial controllers and accountants managing daily or period-end reconciliation processes across multiple asset classes to reduce manual effort and minimize errors.

What types of discrepancies can be detected during financial data reconciliation?▼

Discrepancy detection identifies mismatches in financial data based on amount, quantity, timing, and presence on either side of the general ledger and subledger extracts.

How do I align general ledger and subledger extracts for matching?▼

Align general ledger and subledger extracts by using the data normalization feature to match key and comparison columns, facilitating accurate automated comparison and break detection.

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