A sophisticated personal finance tool that uses natural language processing to track expenses and generate insightful financial reports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-ledger
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install smart-ledger using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Smart Expense Tracker?
The Smart Expense Tracker is a highly efficient utility built for the Openclaw Skills ecosystem, designed to simplify personal accounting through natural language inputs. Instead of navigating complex interfaces, users can record transactions using plain text like "Spent 35 dollars on lunch today." The skill automatically extracts amounts, dates, and categories while maintaining all data in a local JSON file to ensure complete user privacy.
Beyond simple logging, this skill provides a robust framework for financial analysis. It leverages localized logic to identify spending patterns, detect anomalies, and generate multi-dimensional reports ranging from daily summaries to long-term trend analysis. It is an essential addition for developers and power users looking to integrate automated budgeting into their Openclaw Skills workflow.
Smart Expense Tracker Use Cases
- Rapidly logging daily expenditures and income via CLI or agent prompts using natural language.
- Generating automated weekly and monthly financial reviews to monitor budget compliance.
- Performing trend analysis to identify areas of overspending or irregular financial activity.
- Maintaining a private, local ledger of all financial transactions without relying on third-party cloud services.
How Smart Expense Tracker Works
- The user provides a natural language description of a financial transaction.
- The system parses the text to extract key entities such as the amount, date, and transaction type (income or expense).
- An internal keyword mapping engine automatically assigns the transaction to a relevant category like Dining, Transport, or Shopping.
- The transaction is assigned a unique ID and saved into a structured local JSON database.
- Users can then invoke the report generator to aggregate the stored data into formatted summaries or trend reports.
Smart Expense Tracker Setup
To get started with this skill, ensure you have Python 3.9 or higher installed on your system. The skill is compatible with macOS, Linux, and Windows environments. Follow these steps to initialize your ledger:
# Initialize the data directory
mkdir -p ~/.openclaw/workspace/data/expenses/
# Test the tracker by adding your first record
python scripts/expense-tracker.py add "Spent 35 dollars on lunch"
# Generate a summary of the last 30 days
python scripts/expense-tracker.py summary 30
Smart Expense Tracker Data Schema & Taxonomy
The skill organizes its data within a centralized JSON file located at ~/.openclaw/workspace/data/expenses/expenses.json. This structure facilitates easy backups and manual auditing.
| Key | Description |
|---|---|
id |
A unique string identifier for each transaction. |
date |
The ISO-formatted date of the transaction. |
type |
Classification as either 'expense' or 'income'. |
amount |
The numerical value of the transaction. |
category |
The automatically assigned category based on keyword matching. |
note |
A cleaned-up note describing the transaction. |
raw_text |
The original natural language input provided by the user. |
Smart Expense Tracker Advanced Features
- Smart Anomaly Detection: Automatically flags transactions that exceed twice the user's average spending patterns.
- Customizable Keyword Mapping: Users can modify
assets/categories.jsonto refine how the AI classifies specific terms. - Budget Threshold Alerts: Supports setting budget limits per category with warnings when limits are approached.
- Headless Integration: The report generator can output data in raw JSON format, allowing for integration with other Openclaw Skills or external dashboards.
SKILL.md
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