PartidaDoble

Validate double-entry accounting by checking total debits equal total credits.

Updated Dec 24, 2025
One-click install
npx skills add https://github.com/OmarMira/Coontabilidad --skill partidadoble
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: PartidaDoble
Source: https://github.com/OmarMira/Coontabilidad/tree/main/.agent/skills/PartidaDoble
Command: npx skills add https://github.com/OmarMira/Coontabilidad --skill partidadoble

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill prevents accounting errors by ensuring that every financial transaction adheres to the fundamental principle of double-entry bookkeeping, where total debits must equal total credits.

Core Features & Use Cases

  • Real-time Validation: Verifies the balance of accounting entries before they are saved to the database.
  • Rounding Error Detection: Accurately handles decimal precision to maintain perfect financial balance.
  • Use Case: When recording a new financial transaction, this skill will automatically check if the sum of all debit amounts equals the sum of all credit amounts, flagging any discrepancies.

Quick Start

Use the PartidaDoble skill to validate the following accounting lines: [{account_id: "101", debit: 100.00, credit: 0.00}, {account_id: "201", debit: 0.00, credit: 100.00}].

Frequently Asked Questions about PartidaDoble

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

FAQPage Schema
How do I validate double entry accounting transactions before saving?

Double entry accounting validation works by summing all debit and credit amounts within a transaction to confirm they match perfectly. This process requires a minimum of two transaction lines and handles floating-point inaccuracies to maintain accurate financial records.

Why do floating-point inaccuracies cause double entry validation to fail?

Validating double entry bookkeeping requires a minimum of two transaction lines per financial entry, structured with account IDs and corresponding debit or credit amounts. You provide this data to the validation logic to check if the sum of all debits matches the sum of all credits.

What is the best way to detect rounding errors in financial data entry?

The best way to detect rounding errors in financial data entry is to apply strict decimal precision handling during double entry validation. This catches floating-point discrepancies automatically, ensuring that the recorded debit and credit amounts maintain perfect financial balance.

Does double entry validation require a minimum number of transaction lines?

Yes, double entry validation requires a minimum of two transaction lines per entry to function correctly. This ensures that for every debit amount recorded, there is a corresponding credit amount, adhering strictly to fundamental bookkeeping principles.