A specialized TypeScript library enabling AI agents to manage budgets, track expenses, and generate financial insights through natural language parsing.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mar-intelligent-budget-tracker
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 mar-intelligent-budget-tracker 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 Agent Money Tracker?
Agent Money Tracker is a sophisticated financial management library specifically designed for the next generation of AI agents. It provides a programmatic interface for tracking income and expenses, setting savings goals, and monitoring budget thresholds without the need for a traditional graphical user interface. By leveraging Openclaw Skills architecture, it allows bots and agents to maintain financial awareness autonomously.
This skill integrates deeply with the SkillBoss API Hub to offer advanced features like natural language transaction parsing and automated financial insights. Whether you are building a personal finance assistant or an autonomous procurement bot, this library offers the robust data handling and cross-platform storage needed for reliable financial operations.
Agent Money Tracker Use Cases
- Automating expense logging for AI agents through natural language commands like 'spent $45 on transport'.
- Monitoring project-specific budgets and triggering alerts when spending exceeds predefined thresholds.
- Creating and tracking long-term savings goals with priority-based contribution logic.
- Generating automated monthly financial reports and trend analysis for stakeholders.
- Managing recurring subscriptions and salary payments through automated transaction processing.
How Agent Money Tracker Works
- The skill initializes a local database at a platform-specific storage path or a custom directory specified by the user.
- Transactions are recorded either through structured API calls or by sending raw text to the SkillBoss API Hub for natural language intent extraction.
- The engine categorizes data based on built-in taxonomy and calculates real-time metrics for budgets and goals.
- When requested, the skill communicates with the SkillBoss API Hub /v1/pilot endpoint to analyze spending patterns and generate human-like insights.
- Periodic tasks like recurring transaction processing and data backups ensure the financial ledger remains accurate and secure.
Agent Money Tracker Setup
To begin using this skill in your environment, install the package via npm:
npm install agent-money-tracker
Ensure you have your environment variables configured to allow Openclaw Skills to access the necessary intelligence layers:
export SKILLBOSS_API_KEY="your_api_key_here"
# Optional: Custom data storage path
export CLAWHUB_DATA_PATH="/your/custom/path"
Agent Money Tracker Data Schema & Taxonomy
The skill maintains a structured data repository focused on transaction integrity and analytical depth.
| Data Type | Key Metadata Fields |
|---|---|
| Expenses | Amount, Category, Merchant, Date, Tags |
| Income | Amount, Source, Category, Date |
| Budgets | Name, Limit, Period, Threshold, Status |
| Goals | Target Amount, Deadline, Priority, Current Progress |
| Recurring | Frequency (monthly/weekly), Type, Last Processed |
Agent Money Tracker Advanced Features
- Natural Language Parsing: Convert messy user input into structured financial records via SkillBoss API Hub integration.
- Proactive Budget Alerts: Automated warning system that triggers when spending hits a specific percentage of the limit.
- AI-Powered Insights: Generates actionable advice, such as identifying unusual spending spikes or suggesting subscription cancellations.
- Smart Budget Suggestions: Analyzes historical data to recommend realistic spending limits for various categories.
- Automated Data Lifecycle: Includes built-in mechanisms for data exportation, timestamped backups, and cross-platform path resolution.
SKILL.md
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