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ar-collections-agentar 收藏 Agent

Agent Skill

ar-collections-agent 用于补充效率相关能力,适合在 OpenClaw 中需要让 Agent 承接效率相关任务时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,868

周安装

292

GitHub Stars

公开资料未说明

下载量

2,406
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ar-collections-agent(ar 收藏 Agent)
来源仓库:https://github.com/samledger67-dotcom/ar-collections-agent
安装命令:
openclaw skills install ar-collections-agent
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install ar-collections-agent

简介

通过账龄分析、优先级排序、电子邮件草稿、DSO 报告、付款跟踪和坏账准备金建议来自动化 AR 催收。

SKILL.md

name
ar-collections-agent
description
Accounts Receivable (AR) collections workflow automation for accounting firms and finance teams. Use when you need to: (1) identify overdue invoices and aged AR buckets (30/60/90/120+ days), (2) draft escalating collection emails or call scripts, (3) generate AR aging reports and DSO calculations, (4) prioritize collection targets by balance and risk, (5) track payment promises and follow-up schedules, (6) calculate bad debt reserves or write-off recommendations, or (7) produce client-ready AR health dashboards. Works with QBO exports, CSV invoice data, or direct QBO API. NOT for: initiating legal action or filing liens (escalate to attorney), sending external emails without approval, accessing client QBO accounts without explicit write authorization, or PTIN-backed tax services.

AR Collections Agent

Automate and systematize accounts receivable collections: aging analysis, prioritization, outreach drafts, DSO tracking, and bad debt analysis.

Inputs Accepted

  • QBO AR Aging Summary/Detail (CSV or PDF export)
  • Invoice CSV: invoice_id, customer, invoice_date, due_date, amount, amount_due, status
  • Direct QBO query results (via qbo-automation skill)
  • Manually pasted invoice data

Core Workflows

1. AR Aging Analysis

Bucket invoices into standard aging tiers:

BucketDays Past Due
Current0
1–301–30
31–6031–60
61–9061–90
91–12091–120
120+121+

Calculate per customer:

  • Total AR balance
  • Oldest invoice date
  • % of balance in each bucket
  • Days Sales Outstanding (DSO) = (AR Balance / Total Credit Sales) × Days in Period

Flag high-risk accounts: balance > $5k AND 60+ days past due, or any invoice 120+ days.

2. Prioritization Matrix

Score each overdue account (1–10):

  • Balance weight (40%): Higher balance = higher score
  • Age weight (40%): Older = higher score
  • History weight (20%): Prior payment promises broken = higher score

Output: ranked list, top 10 accounts to contact first.

3. Collection Outreach Drafts

Draft escalating messages based on aging tier. See references/email-templates.md for full templates.

Tone ladder:

  • 1–30 days: Friendly reminder
  • 31–60 days: Second notice, reference invoice
  • 61–90 days: Firm request, payment plan offer
  • 91–120 days: Final notice, escalation warning
  • 120+ days: Collections/legal escalation notice

Always include: invoice numbers, amounts, due dates, payment link/instructions.

Never send without Irfan's approval. Draft only unless explicitly authorized.

4. DSO & KPI Dashboard

Calculate and report:

  • DSO (overall and per customer segment)
  • Collection Effectiveness Index (CEI): (Beginning AR + Credit Sales − Ending AR) / (Beginning AR + Credit Sales − Current AR) × 100
  • Bad Debt %: Write-offs / Total Credit Sales × 100
  • % AR Current vs. Aged

Output format: summary table + bullet insights for client presentation.

5. Bad Debt Reserve & Write-Off Analysis

Apply allowance method by aging bucket (customize per client):

BucketDefault Reserve %
Current0.5%
1–302%
31–605%
61–9015%
91–12030%
120+50–100%

Output: recommended reserve amount, GL journal entry draft, write-off candidates.

6. Payment Promise Tracker

When a customer commits to pay by a date:

  1. Log: customer, amount, promise date, follow-up date (3 days before)
  2. Flag broken promises for escalation tier bump
  3. Output: follow-up schedule CSV or table

Save tracker state to memory/ar-promise-tracker.md if persistence requested.

Output Formats

  • AR Aging Report: Markdown table or CSV
  • Collection Priority List: Ranked table with scores
  • Email Drafts: Ready-to-send (with approval), parameterized per customer
  • DSO Dashboard: Summary metrics + trend commentary
  • Bad Debt Schedule: GL-ready journal entries
  • Follow-Up Schedule: Date-indexed action list

Reference Files

  • references/email-templates.md — Full escalation email templates (all 5 tiers)
  • references/ar-kpi-formulas.md — DSO, CEI, turnover ratio formulas with examples

Guardrails

  • Read-only default: Never modify QBO or send emails without explicit approval
  • No legal advice: Flag 120+ day accounts for attorney review; do not draft demand letters
  • Client data isolation: Never mix AR data across clients in the same analysis
  • Write-off authority: Recommend only; write-off execution requires Irfan sign-off
  • PTIN boundary: Bad debt tax deduction guidance requires PTIN-backed service; flag and refer

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

76.28%
按下载量换算1,835

安全审计

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通过

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通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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