cfo-inadimplencia

Name: cfo-inadimplencia
Availability: InStock
Author: MindOpsTeam

Analyze overdue receivables by aging buckets and assess concentration risk.

1|Updated May 5, 2026

Search Tags:#collections #concentration #risk-scoring #aging #erp-integration #overdue #accounts-receivable

Ready to run

npx skills add https://github.com/MindOpsTeam/agente-cfo --skill cfo-inadimplencia

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: cfo-inadimplencia
Source: https://github.com/MindOpsTeam/agente-cfo/tree/main/skills/cfo-inadimplencia
Command: npx skills add https://github.com/MindOpsTeam/agente-cfo --skill cfo-inadimplencia

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

In-depth delinquency analysis: aging buckets (0-30/31-60/61-90/>90d), debtor concentration, risk scoring, and suggested collection actions by bucket. Marcos uses it to identify who to collect from, how, and with what urgency.

Core Features & Use Cases

Aging bucket analysis with totals per debtor
Top debtors identification with bucket-based actions
Prioritized collection suggestions for CFO use

Quick Start

To start, run the aging and cobranca scripts to generate a prioritized action plan for overdue accounts.

Frequently Asked Questions about cfo-inadimplencia

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

FAQPage Schema

How do I analyze overdue accounts receivable using aging buckets?▼

Overdue accounts receivable are analyzed by sorting debts into aging buckets (0-7, 8-30, 31-60, 61-90, >90 days) and computing totals per debtor. This Python script generates a prioritized collection action plan based on urgency.

What is the best way to prioritize customer collections based on credit risk?▼

Prioritizing collections based on credit risk involves assessing debtor concentration and applying risk scoring across aging buckets. The tool identifies top debtors and outputs suggested collection actions tailored for CFO decision-making.

Can I use this tool with my ERP-integration data for delinquency analysis?▼

Yes, ERP-integration data can be processed for delinquency analysis. The scripts compute aging buckets, totals, and concentration risk from your receivables dataset to recommend proactive collection actions.

How do I identify top debtors and suggested collection actions for my accounts receivable?▼

Top debtors are identified by calculating concentration risk and aging bucket totals from accounts receivable data. The script then outputs prioritized collection suggestions and bucket-based actions for each debtor.

Does this aging analysis approach work for proactive risk management across all customers?▼

Aging analysis works for proactive risk management by segmenting overdue receivables into specific day buckets and assessing concentration risk. This deterministic Python computation provides clear outputs for prioritized actions.

When do I need aging bucket analysis for overdue receivables?▼

Aging bucket analysis for overdue receivables is needed when a business requires prioritized collection actions and proactive risk management. It segments debts by overdue days to determine urgency and concentration risk.