expense-tracker

What This Skill Does

The expense-tracker skill for OpenClaw is a robust command-line utility designed to bring financial discipline to your daily workflow. It allows you to systematically record your daily spending directly into structured markdown files organized by month within your workspace. By capturing essential details such as date, amount, category, description, and custom tags, it transforms casual spending into actionable financial data. This tool is built for users who prefer localized, plain-text storage for their personal finance management, ensuring portability and full control over their expense history without relying on third-party cloud services.

Installation

To add this skill to your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/aholake/aholake-expense-tracker

Ensure you have Python 3 installed in your environment, as the skill utilizes a Python-based script for processing entries and generating reports. Once installed, the expenses/ directory will be initialized in your project root to start tracking.

Use Cases

• Daily Tracking: Rapidly log coffee, meals, or transit expenses while working to maintain an accurate budget.
• Periodic Auditing: Generate monthly summaries to see a breakdown of spending by category, helping you identify areas for savings.
• Expense Categorization: Use consistent tags to group transactions (e.g., 'work-lunch', 'groceries', 'subscription-renewals') for deep-dive analysis.
• Backdating Records: Accurately log past expenses that were forgotten during the day by using the optional date parameter.
• Data Exporting: Generate JSON output for integration into other analysis tools or custom dashboards.

Example Prompts

1. "I just spent 50,000 on a taxi ride to the office, please log that under the Vehicle category."
2. "Show me a summary of how much I spent on dining out during February 2026."
3. "Log an expense of 1,200,000 for my gym subscription under the Subscriptions category, and add the tag 'health'."

Tips & Limitations

• Consistency: Use the provided reference file in references/categories.md to ensure your categories remain standardized, which makes monthly comparisons significantly easier.
• Automation: You can pipe the --json output to external data processing tools like jq to extract specific insights or visualize your spending trends.
• Limitations: This tool is local and file-based. It does not provide real-time bank syncing, multi-user support, or advanced graphical forecasting. Be sure to back up your expenses/ folder periodically to prevent data loss.