An AI-powered financial assistant that automates expense tracking through natural language processing and voice recognition.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install smart-expense-tracker-cn-payment
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-expense-tracker-cn-payment 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 Assistant?
Smart Expense Tracker Assistant is a sophisticated financial management tool designed for the Openclaw Skills ecosystem. It leverages natural language processing (NLP) to allow users to record expenses simply by speaking or typing naturally. The skill automatically identifies amounts and categorizes them into one of seven smart categories, eliminating the manual overhead of traditional bookkeeping.
Beyond simple logging, it provides proactive financial oversight through multi-threshold budget alerts and automated periodic reports. This skill is ideal for developers and power users looking to integrate intelligent financial tracking into their automated workflows or communication platforms like QQ, providing a seamless bridge between daily activities and financial discipline.
Smart Expense Tracker Assistant Use Cases
- Recording daily expenses using natural language or voice messages without manual data entry.
- Receiving real-time budget threshold alerts when reaching 50%, 80%, 90%, or 100% of spending limits.
- Generating automated weekly and monthly consumption analysis reports for better financial planning.
- Managing team or corporate finances with multi-user enterprise features and professional financial statements.
How Smart Expense Tracker Assistant Works
- The user inputs an expense via text or voice message through a supported interface like QQ.
- The AI engine parses the natural language input to extract the transaction amount and the user intent.
- The system automatically assigns the expense to one of seven predefined smart categories based on the context.
- Transaction data is stored locally, and the system evaluates the total against the user's defined budget thresholds.
- The skill triggers proactive notifications for budget alerts or generates periodic analytical reports based on the accumulated data.
Smart Expense Tracker Assistant Setup
To use this skill, ensure you have the required dependencies installed on your environment. This skill requires the jq utility for processing JSON data.
sudo apt-get install jq
To subscribe to a premium plan within Openclaw Skills, follow these steps:
- Send the command "Subscribe Basic/Pro/Enterprise" to the agent.
- Obtain the payment QR code for Alipay (18681073855) or QQ Pay.
- Complete the payment and submit the screenshot for automated verification.
- Permissions and advanced features will be automatically enabled upon confirmation.
Smart Expense Tracker Assistant Data Schema & Taxonomy
The skill organizes data using a structured format processed by jq for analysis. It tracks the following metadata for every entry:
| Field | Description |
|---|---|
| amount | The numerical value of the transaction identified by AI. |
| category | Automatically assigned tag from 7 smart categories. |
| timestamp | ISO 8601 formatted date and time of the entry. |
| budget_status | Current spending percentage relative to thresholds. |
| user_id | Unique identifier for multi-user or team tracking in Pro/Enterprise versions. |
Smart Expense Tracker Assistant Advanced Features
- Voice-to-text integration for hands-free expense logging directly from mobile messaging apps.
- Granular budget threshold notifications that trigger at 50%, 80%, 90%, and 100% of the limit.
- Multi-user support and team-based financial reporting for collaborative enterprise environments.
- High-performance data parsing utilizing jq for efficient local processing of financial records.
- Automated weekly and monthly push notifications containing detailed consumption analysis.
SKILL.md
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