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Afrexai Accounts Receivable

Accounts Receivable Manager

1kalin0 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install 1kalin/afrexai-accounts-receivable

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

Accounts Receivable Manager

Automate AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting.

What It Does

  1. AR Aging Report — Bucket outstanding invoices by 0-30, 31-60, 61-90, 90+ days with risk scoring
  2. Collection Priority Queue — Rank overdue accounts by amount × days × risk for optimal follow-up order
  3. Payment Reminder Drafts — Generate professional escalation emails (friendly → firm → final notice → collections)
  4. Cash Application Matching — Match incoming payments to open invoices with variance handling
  5. Bad Debt Forecasting — Predict write-offs using historical payment patterns and aging trends
  6. DSO Tracking — Calculate Days Sales Outstanding with trend analysis and benchmarks by industry

How to Use

Tell your agent what you need:

  • "Run an AR aging analysis for our open invoices"
  • "Prioritize our collection queue — what should we chase first?"
  • "Draft a 60-day overdue reminder for [client name]"
  • "Our DSO is 47 days — how does that compare to SaaS benchmarks?"
  • "Forecast bad debt exposure for Q1"

AR Aging Buckets

Bucket Risk Level Action
Current (0-30) Low Monitor
31-60 days Medium Friendly reminder
61-90 days High Escalation call + written notice
90+ days Critical Final demand → collections/write-off review

Collection Priority Formula

Priority Score = (Invoice Amount × 0.4) + (Days Overdue × 0.3) + (Customer Risk Score × 0.3)

Customer Risk Score (1-10) based on:

  • Payment history (avg days to pay)
  • Number of past-due invoices
  • Credit limit utilization
  • Industry default rates

Payment Reminder Escalation

Day 1 (Invoice Due)

Subject: Invoice #[NUM] — Payment Due Today Tone: Friendly, informational

Day 7 (1 Week Overdue)

Subject: Friendly Reminder — Invoice #[NUM] Past Due Tone: Warm but clear

Day 30 (1 Month Overdue)

Subject: Payment R...

Source information

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-accounts-receivable
Version
—
Commit
4821de8e054f3fbd86a78e1993a9a65dcd2818c4
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

README

Accounts Receivable Manager

Automate AR aging analysis, collection prioritization, payment follow-ups, and bad debt forecasting with your AI agent.

Features

  • AR Aging Reports — 0-30, 31-60, 61-90, 90+ day buckets with risk scoring
  • Collection Priority Queue — Rank overdue accounts for optimal follow-up
  • Payment Reminder Escalation — 5-stage email templates from friendly to final notice
  • Cash Application — Match payments to invoices with variance handling
  • DSO Tracking — Industry benchmarks for Days Sales Outstanding
  • Bad Debt Forecasting — Predict write-offs from aging trends

Why This Matters

  • Average SMB has $84,000 in outstanding receivables
  • 1 in 4 invoices are paid late
  • Every day of DSO improvement = real cash flow impact
  • Manual AR processes cost $15-$25 per invoice to manage

Quick Start

Install this skill in your AI agent, then ask:

  • "Run an AR aging report"
  • "Prioritize our collection queue"
  • "Draft a 60-day overdue reminder for Acme Corp"
  • "What's our DSO trend?"

Take It Further

For full financial operations automation, check out:

Built by AfrexAI 🖤💛

Extracted content

SKILL.md
# Accounts Receivable Manager

Automate AR workflows: aging analysis, collection prioritization, payment follow-ups, cash application, and bad debt forecasting.

## What It Does

1. **AR Aging Report** — Bucket outstanding invoices by 0-30, 31-60, 61-90, 90+ days with risk scoring
2. **Collection Priority Queue** — Rank overdue accounts by amount × days × risk for optimal follow-up order
3. **Payment Reminder Drafts** — Generate professional escalation emails (friendly → firm → final notice → collections)
4. **Cash Application Matching** — Match incoming payments to open invoices with variance handling
5. **Bad Debt Forecasting** — Predict write-offs using historical payment patterns and aging trends
6. **DSO Tracking** — Calculate Days Sales Outstanding with trend analysis and benchmarks by industry

## How to Use

Tell your agent what you need:

- "Run an AR aging analysis for our open invoices"
- "Prioritize our collection queue — what should we chase first?"
- "Draft a 60-day overdue reminder for [client name]"
- "Our DSO is 47 days — how does that compare to SaaS benchmarks?"
- "Forecast bad debt exposure for Q1"

## AR Aging Buckets

| Bucket | Risk Level | Action |
|--------|-----------|--------|
| Current (0-30) | Low | Monitor |
| 31-60 days | Medium | Friendly reminder |
| 61-90 days | High | Escalation call + written notice |
| 90+ days | Critical | Final demand → collections/write-off review |

## Collection Priority Formula

```
Priority Score = (Invoice Amount × 0.4) + (Days Overdue × 0.3) + (Customer Risk Score × 0.3)
```

Customer Risk Score (1-10) based on:
- Payment history (avg days to pay)
- Number of past-due invoices
- Credit limit utilization
- Industry default rates

## Payment Reminder Escalation

### Day 1 (Invoice Due)
Subject: Invoice #[NUM] — Payment Due Today
Tone: Friendly, informational

### Day 7 (1 Week Overdue)
Subject: Friendly Reminder — Invoice #[NUM] Past Due
Tone: Warm but clear

### Day 30 (1 Month Overdue)
Subject: Payment R...
README
# Accounts Receivable Manager

Automate AR aging analysis, collection prioritization, payment follow-ups, and bad debt forecasting with your AI agent.

## Features

- **AR Aging Reports** — 0-30, 31-60, 61-90, 90+ day buckets with risk scoring
- **Collection Priority Queue** — Rank overdue accounts for optimal follow-up
- **Payment Reminder Escalation** — 5-stage email templates from friendly to final notice
- **Cash Application** — Match payments to invoices with variance handling
- **DSO Tracking** — Industry benchmarks for Days Sales Outstanding
- **Bad Debt Forecasting** — Predict write-offs from aging trends

## Why This Matters

- Average SMB has $84,000 in outstanding receivables
- 1 in 4 invoices are paid late
- Every day of DSO improvement = real cash flow impact
- Manual AR processes cost $15-$25 per invoice to manage

## Quick Start

Install this skill in your AI agent, then ask:
- "Run an AR aging report"
- "Prioritize our collection queue"
- "Draft a 60-day overdue reminder for Acme Corp"
- "What's our DSO trend?"

## Take It Further

For full financial operations automation, check out:

- **[AI Agent Context Packs](https://afrexai-cto.github.io/context-packs/)** — Industry-specific configs for Fintech, Professional Services, SaaS ($47 each)
- **[AI Revenue Leak Calculator](https://afrexai-cto.github.io/ai-revenue-calculator/)** — Find where manual processes drain your revenue
- **[Agent Setup Wizard](https://afrexai-cto.github.io/agent-setup/)** — Get configured in minutes

Built by [AfrexAI](https://afrexai-cto.github.io/context-packs/) 🖤💛

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