invoice-chase

Draft ranked overdue receivable follow-ups from Brazilian ERP and payment exports.

Updated May 15, 2026
One-click install
npx skills add https://github.com/CarvalhoJeo/claude-small-business-br --skill invoice-chase-carvalhojeo
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: invoice-chase
Source: https://github.com/CarvalhoJeo/claude-small-business-br/tree/main/skills/invoice-chase
Command: npx skills add https://github.com/CarvalhoJeo/claude-small-business-br --skill invoice-chase-carvalhojeo

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Invoice chase helps you stop chasing late customers blindly by drafting clear, channel-ready follow-ups that respect Brazilian receivables realities (ERP/spreadsheets and Mercado Pago/Asaas exports).

Core Features & Use Cases

  • Overdue receivables sourcing: Pulls candidates from ERP exports, receivables spreadsheets, billing platform exports, and Mercado Pago/Asaas support exports.
  • Normalization and first-pass collections list: Uses Mercado Pago CSV normalization when available to create an initial set of pending or owner-verification cases.
  • Ranking and safe follow-up drafting: Excludes recently paid/negotiating/promised items, ranks by amount, days late, payment history, and urgency, then produces email drafts and WhatsApp-ready text while marking uncertain data as “verify manually.”

Quick Start

Use the invoice-chase skill to draft ranked, overdue customer follow-ups for your Brazilian receivables export and generate both email and WhatsApp-ready messages for approval.

Frequently Asked Questions about invoice-chase

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

FAQPage Schema
How do I draft overdue invoice follow-ups for Brazilian receivables from ERP exports?

Overdue invoice follow-ups are drafted by importing ERP exports, receivables spreadsheets, or billing platform data to rank late customers by amount and days late, then generating email and WhatsApp-ready message drafts for Brazilian SMBs.

Can I normalize Mercado Pago CSV exports to identify overdue receivables?

Mercado Pago CSV normalization creates an initial set of pending or owner-verification cases, allowing you to extract and standardize overdue receivables data for collections prioritization and customer outreach.

What is the best way to prioritize overdue collections without contacting customers who already paid?

Prioritizing overdue collections requires excluding recently paid, negotiated, or promised items from your export, then ranking remaining late receivables by amount, days late, payment history, and urgency before drafting outreach.

Does invoice-chase work with Asaas billing exports for Brazilian SMB collections?

Asaas billing exports are supported alongside Mercado Pago data and ERP spreadsheets, enabling you to source overdue receivable candidates and produce channel-ready follow-up drafts for Brazilian SMB collections.

How do I generate WhatsApp-ready collection messages from a receivables spreadsheet?

WhatsApp-ready collection messages are generated by ranking receivables spreadsheet data by overdue amount and days late, then producing text drafts formatted for WhatsApp while marking uncertain export data for manual verification.

What happens when overdue receivables export data is unclear or missing customer details?

Unclear export data triggers manual verification markers, applying guardrails that prevent sending follow-up drafts without explicit approval and avoid assumptions when customer details or payment statuses are ambiguous.