Expense Snap transforms unstructured receipts and spending notes into a structured SQLite ledger for seamless financial tracking.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install expense-snap
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install expense-snap using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Expense Snap is a robust financial management tool designed for the Openclaw Skills ecosystem. It allows developers and power users to capture receipt details, categorize spending into consistent buckets, and maintain a local source of truth via a SQLite database. By bridging the gap between raw transaction data and structured reporting, it ensures that personal or business finances remain organized and accessible without relying on heavy third-party SaaS platforms.
The skill emphasizes data integrity and transparency. It provides a local-first approach to expense management, allowing users to record merchant details, line items, and multi-currency totals. Whether you are logging a quick coffee or managing reimbursements, this skill provides the CLI-driven flexibility required for modern AI-assisted workflows.
To get started with Expense Snap as part of your Openclaw Skills collection, ensure Python is installed on your system and follow these steps:
# Navigate to your local skill directory
cd {baseDir}/scripts/
# Record your first receipt to initialize the database
python expense_snap.py record --merchant "Sample Store" --total 10.00 --category general
Expense Snap manages state within a local SQLite database (expense-snap.db). The schema focuses on transactional clarity:
| Entity | Details |
|---|---|
| Receipts | Stores merchant name, date, total amount, and currency. |
| Line Items | Breakdowns of individual items within a receipt (Name, Price, Quantity, Category). |
| Metadata | Tracks categories and monthly timestamps for reporting. |
| CSV Exports | Generated files mapping database rows to standard spreadsheet columns. |
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