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Agent skill

Ar Aging

by WellApp-ai in WellApp-ai/Well

Produce an accounts-receivable aging report and surface overdue invoices for a Well workspace.

MITAuto-check passedDocuments & Office

Install Ar Aging

skills CLI
$ npx skills add WellApp-ai/Well --skill ar-aging -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install WellApp-ai/Well ar-aging --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/WellApp-ai/Well.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/well/skills/ar-aging .claude/skills/ar-aging && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ar-aging
GitHub stars
345
Token cost
~532 tokens
SKILL.md length
262 words
Files
1
Skills in repo
36
Repo updated
First seen
Licence
MIT

At a glance

Produce an accounts-receivable aging report and surface overdue invoices for a Well workspace.

  • Works in 5 steps: Discover the schema first (see… → Open receivables — issued invoices… → Confirm what's actually settled —… → …
  • The user asks who owes them money
  • SKILL.md covers Build it, Rules and Present it
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ar Aging is an agent skill from WellApp-ai/Well. 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.

Its SKILL.md is about 530 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Forms and invoices and Accounting and bookkeeping. The repository describes itself as: No more Sundays on Finance. We build the infrastructure that retrieves, processes, and routes your financial and business data to your FinOps stack, so founders can ship, not… The licence is MIT.

When your agent uses it

  • The user asks who owes them money
  • An AR aging report
  • Overdue invoices
  • Days sales outstanding (DSO)

Example prompts

  • “/ar-aging”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  1. Discover the schema first (see well:querying-well-data).
  2. Open receivables — issued invoices filtered on the payment-status / outstanding field the schema exposes (don't infer "unpaid" by…
  3. Confirm what's actually settled — cross-check against transactions / invoice_transactions so a payment already received but not yet…
  4. 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.
  5. Per-customer behavior — where history exists, note each customer's typical days-to-pay so the user can prioritise (a chronic late-payer ≠…

What it can do on your machine

Read from SKILL.md and the folder at commit c740217. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ar Aging loads about 532 tokens when it runs. Until then it costs about 61 tokens; SKILL.md has 262 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~61
When it runs · the whole SKILL.md, loaded when a task matches
~532

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from WellApp-ai/Well at commit c740217, republished under its MIT licence (© WellApp-ai). 262 words, ~532 tokens.

Download SKILL.mdSave it as .claude/skills/ar-aging/SKILL.md (or your agent's skills folder).
name
ar-aging
description
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.

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

  1. Discover the schema first (see well:querying-well-data).
  2. 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).
  3. 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.
  4. 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.
  5. 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.

© WellApp-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in plugins/well/skills/ar-aging of WellApp-ai/Well.

Open the folder on GitHubat commit c740217

Compare with similar skills

Ar Aging next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ar Aging compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ar Aging this skillWellApp-ai/Well345—~532Automated safety check: PassMIT
Fin Daily Pulseevolution-foundation/evo-nexus545—~1.7kAutomated safety check: PassCustom licence
Journalkazukinagata/shinkoku365—~2.3kAutomated safety check: PassMIT
Invoice Organizerdavila7/claude-code-templates32k12 repos~2.9kAutomated safety check: PassMIT
Invoice Po Reconciliationpnp/sharepoint-skills132—~1.4kAutomated safety check: PassMIT
Financial ParserOneWave-AI/claude-skills3281 repos~1.2kAutomated safety check: PassMIT

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Categories

Questions about Ar Aging

What does Ar Aging do?

Produce an accounts-receivable aging report and surface overdue invoices for a Well workspace. Ar Aging is an agent skill from WellApp-ai/Well. Produce an accounts-receivable aging report and surface overdue invoices for a Well workspace.

When should I use Ar Aging?

Ar Aging fits situations like: the user asks who owes them money; an AR aging report; overdue invoices; days sales outstanding (DSO).

How do I install Ar Aging in Claude Code?

Run `npx skills add WellApp-ai/Well --skill ar-aging -a claude-code`. Or copy the skill folder (plugins/well/skills/ar-aging in WellApp-ai/Well) into .claude/skills/ar-aging in your project. Claude Code loads it when a task matches its description.

How do I install Ar Aging in Codex?

Run `npx skills add WellApp-ai/Well --skill ar-aging -a codex`. Or copy the skill folder (plugins/well/skills/ar-aging in WellApp-ai/Well) into .agents/skills/ar-aging in your project. Codex loads it when a task matches its description.

Can I use Ar Aging in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add WellApp-ai/Well --skill ar-aging -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ar-aging, .gemini/skills/ar-aging, .github/skills/ar-aging and .opencode/skills/ar-aging in your project.

What does Ar Aging need to run?

SKILL.md names no scripts, command-line tools or credentials: Ar Aging is instructions for the agent only.

Does Ar Aging access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ar Aging safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ar Aging use?

Ar Aging is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ar Aging use?

About 532 tokens (SKILL.md is roughly 2.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ar Aging?

Skills that share tags, products or a category with Ar Aging: Fin Daily Pulse (evolution-foundation/evo-nexus, 545 stars), Journal (kazukinagata/shinkoku, 365 stars), Invoice Organizer (davila7/claude-code-templates, 32k stars) and Invoice Po Reconciliation (pnp/sharepoint-skills, 132 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ar Aging?

WellApp-ai (a GitHub organization) maintains it in WellApp-ai/Well, which has 345 GitHub stars. The repository holds 36 skills in this directory. The repository was last updated on October 7, 2026.

Source: WellApp-ai/Well on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.