Ar Aging

Organization

WellApp-ai

ar-aging

Produce an accounts-receivable aging report and surface overdue invoices for a Well workspace. Use when the user asks who owes them money, an AR aging report, overdue invoices, days sales outstanding (DSO), or which customers to chase.

Overview

Publisher	WellApp-ai
Repository	`Well`
Skill name	`ar-aging`
Stars	342
Forks	48
Bundled files	Instructions only
License	MIT
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by WellApp-ai on GitHub. Read the source before you install it.

Installation

Install the Ar Aging AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/WellApp-ai/Well.git /tmp/Well
mkdir -p .claude/skills
cp -r /tmp/Well/plugins/well/skills/ar-aging .claude/skills/ar-aging

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ar Aging in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ar Aging on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ar Aging is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Accounts-receivable aging from Well

Collections is judgment, not nagging. The point of an aging report is to chase the right customers — firmly where their payment history warrants it, gently where it doesn't — and to never chase an invoice that was already paid, disputed, or credited. Verify status before recommending any chase.

Build it

Discover the schema first (see well:querying-well-data).
Open receivables — issued invoices filtered on the payment-status / outstanding field the schema exposes (don't infer "unpaid" by subtracting sums if a status field exists). Pull due date, outstanding amount, and the customer (companies).
Confirm what's actually settled — cross-check against transactions / invoice_transactions so a payment already received but not yet reflected in status isn't counted as overdue. This is the well:reconciliation sibling skill — reuse it.
Bucket by age from the due date: Current (not yet due), 1–30, 31–60, 61–90, 90+ days overdue. Total per bucket and per customer.
Per-customer behavior — where history exists, note each customer's typical days-to-pay so the user can prioritise (a chronic late-payer ≠ a first-time slip).

Rules

Verify status before chasing. Exclude paid / disputed / credited invoices from "to chase" — chasing a settled invoice is the fastest way to lose trust.
Sort the chase list by amount × overdue age, but annotate each with the customer's payment tier.
Don't sum across currencies without converting (exchange_rates).
Report DSO (days sales outstanding) only with the window it's computed over.

Present it

An aging table (buckets × totals), a top "to chase" list (verified-open only, with each customer's payment behavior), DSO with its window, and the total outstanding — in the workspace currency.

Frequently asked questions

What does the Ar Aging AI skill do?

Why use Ar Aging on TypingMind?

Because you install it once and use it with any model. Ar Aging is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ar Aging in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/WellApp-ai/Well/tree/main/plugins/well/skills/ar-aging. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ar Aging?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ar Aging?

As many as you like. As long as a model supports skills, you can use Ar Aging with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ar Aging AI skill free?

Yes. It is published on GitHub by WellApp-ai under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Accounts-receivable aging from Well

Build it

Rules

Present it

Frequently asked questions

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