Cowork Invoice Chaser logo

Cowork Invoice Chaser

Organization
OneWave-AI
cowork-invoice-chaser

Point Cowork at your invoices and payments records -- builds an AR aging report, drafts escalating follow-up emails matched to each invoice's age and the client relationship, and runs as a weekly scheduled task so nothing slips past 30 days unnoticed.

Overview

PublisherOneWave-AI
Repositoryclaude-skills
Skill namecowork-invoice-chaser
Stars
293
Forks
49
Bundled files
Instructions only
LicenseMIT
Links
  • 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 OneWave-AI on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. 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.
2

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/OneWave-AI/claude-skills.git /tmp/claude-skills
mkdir -p .claude/skills
cp -r /tmp/claude-skills/cowork-invoice-chaser .claude/skills/cowork-invoice-chaser
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Cowork Invoice Chaser 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 Cowork Invoice Chaser 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 Cowork Invoice Chaser 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.

Cowork Invoice Chaser

Chase receivables the way a firm-but-warm operator does: know exactly who owes what and for how long, escalate on a schedule, and never send a dunning email to someone who already paid. Inputs: a folder of issued invoices (PDF/.docx) and payment evidence (bank exports, remittance emails, a payments .csv, or a paid-list the user maintains).

Workflow

  1. Build the ledger. Extract from every invoice: number, client, contact, issue date, due date, amount, terms. From payment records: date, amount, payer. Reconcile -- match payments to invoices (exact amount first, then partial payments, then aggregated payments covering multiple invoices).
  2. Age the book. Produce the AR aging report: current, 1-30, 31-60, 61-90, 90+ days past due, by client. Include total outstanding, weighted average days late, and the three largest exposures.
  3. Flag before chasing. List invoices with ambiguous payment status (partial matches, unidentified deposits near the amount) separately. These get a human decision, not a chaser.
  4. Draft the chasers. For each confirmed-unpaid invoice, draft an email matched to its escalation stage -- drafts only, never send:
    • Due in 3 days: friendly heads-up with invoice attached reference
    • 1-14 late: polite nudge, assume oversight, restate amount and payment details
    • 15-45 late: direct, reference prior contact, ask for a payment date
    • 46-90 late: firm, propose a call, mention terms (late fees only if the invoice/contract actually states them)
    • 90+: final notice tone, next-steps language, flag to the human for a collections/legal decision
  5. Digest. One summary per run: total outstanding and change since last run, payments received, drafts queued by stage, ambiguous items needing a decision, and clients whose pattern changed (reliable payer suddenly 30 days late is a relationship signal, not just an AR line).

Rules

  • Never send -- drafts only. A wrong dunning email costs more than a late invoice.
  • Never chase an ambiguous invoice. Unmatched payment evidence near the amount means human review first.
  • Match tone to relationship: the user can tag clients (key account, standard, problem); key accounts never get form-letter tone regardless of age.
  • One email per client per run, covering all their overdue invoices -- three separate nudges in one morning reads as automation and burns goodwill.
  • State late fees only when the underlying invoice or contract specifies them. Never invent penalty terms.
  • Keep the escalation memory: track what stage each invoice last received so a resent nudge escalates rather than repeats.

Scheduled Mode

As a weekly Cowork scheduled task: re-scan the folders, reconcile new payments, advance escalation stages, and deliver the digest with drafts ready for approval. The run is idempotent -- no invoice is double-chased within its stage window.

Quick Commands

  • "Age my receivables" -- steps 1-2 only
  • "Chase everything overdue" -- full workflow
  • "Who pays late?" -- client payment-behavior profile from the ledger history
  • "Draft the 90+ letters" -- final-notice drafts only

Frequently asked questions

What does the Cowork Invoice Chaser AI skill do?

Point Cowork at your invoices and payments records -- builds an AR aging report, drafts escalating follow-up emails matched to each invoice's age and the client relationship, and runs as a weekly scheduled task so nothing slips past 30 days unnoticed.

Why use Cowork Invoice Chaser on TypingMind?

Because you install it once and use it with any model. Cowork Invoice Chaser 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 Cowork Invoice Chaser in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/OneWave-AI/claude-skills/tree/main/cowork-invoice-chaser. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cowork Invoice Chaser?

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 Cowork Invoice Chaser?

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

Is the Cowork Invoice Chaser AI skill free?

Yes. It is published on GitHub by OneWave-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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