搜索

PythonReactSEOPDF
OpenClaw

Afrexai Accounts Receivable

Accounts Receivable Manager

1kalin0 来源安装数☆ 0 仓库 Stars

安装与使用

请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。

SkillHub CLI

skillhub install 1kalin/afrexai-accounts-receivable

打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。

将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。

查看来源 ↗使用指南

技能说明

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...

来源信息

Source
github
Repository
openclaw/skills
Path
skills/1kalin/afrexai-accounts-receivable
Version
—
Commit
4821de8e054f3fbd86a78e1993a9a65dcd2818c4
分类来源
rules
状态
active
可见性
public

这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。

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 🖤💛

来源内容

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/) 🖤💛

相关技能

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

geo-optimization

capt-marbles

Generative Engine Optimization (GEO) for AI search visibility. Optimize content to appear in ChatGPT, Perplexity, Claude, and Google AI Overviews. Use when optimizing websites, pages, or content for LLM discove...

OpenClaw

0protocol

0isone

Agents can sign plugins, rotate credentials without losing identity, and publicly attest to behavior.

OpenClaw

0x0-messenger

eijiac24

Send and receive P2P messages using disposable numbers and PINs. No servers, no accounts. Use for human notifications, approval flows, and agent-to-agent communication.