From sundial-org-awesome-openclaw-skills-4
Log personal expenses via natural language commands. Generates spending reports by period, auto-categorizes transactions, and searches history. Works with any AI model.
How this skill is triggered — by the user, by Claude, or both
Slash command
/sundial-org-awesome-openclaw-skills-4:finance-trackerThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Track personal expenses with natural language. Simple, accurate, works with any model.
Track personal expenses with natural language. Simple, accurate, works with any model.
clawdhub install finance-tracker
Or manually add to your system PATH:
export PATH="$PATH:/path/to/finance-tracker/bin"
Add an expense:
finance add 50000 "lunch at cafe"
View this month's spending:
finance report month
| Command | Description | Example |
|---|---|---|
finance add <amount> "<desc>" | Log an expense | finance add 50000 "lunch" |
finance report [period] | View spending report | finance report week |
finance recent [n] | List recent transactions | finance recent 10 |
finance search "<query>" | Search transactions | finance search "food" |
finance categories | List all categories | finance categories |
finance export [format] | Export data (csv/json) | finance export csv |
finance currency [code] | Get/set currency | finance currency USD |
For reports, use these period options:
today — Today onlyweek — Last 7 daysmonth — Last 30 days (default)year — Last 365 daysall — All timeThese all work:
50000 — Plain number50k or 50K — With k suffix (= 50,000)"50 000" — With spaces (will be parsed)Categories are detected automatically from your description:
| Category | Detected Keywords |
|---|---|
| 🍔 Food | lunch, dinner, breakfast, cafe, restaurant, grocery |
| 🚗 Transport | taxi, uber, bus, metro, fuel, gas |
| 🛍️ Shopping | clothes, shoes, shirt, shopping |
| 📱 Tech | phone, laptop, headphones, charger |
| 🎮 Entertainment | movie, game, netflix, spotify |
| 📚 Education | book, course, school, university |
| 💊 Health | medicine, pharmacy, doctor, gym |
| 🏠 Home | rent, utility, furniture, internet |
| 💇 Personal | haircut, barber, salon |
| 🎁 Gifts | gift, present, birthday |
| ✈️ Travel | travel, flight, hotel |
No keyword match? Defaults to ❓ Other.
All commands return consistent, parseable output:
Success:
✅ Logged: 🍔 50,000 UZS — lunch at cafe (food)
Report:
📊 This Month's Spending
━━━━━━━━━━━━━━━━━━━━━
💵 Total: 250,000 UZS
🍔 Food: 120,000 UZS (48.0%)
🚗 Transport: 80,000 UZS (32.0%)
📱 Tech: 50,000 UZS (20.0%)
📝 15 transactions
📈 Average: 16,666 UZS
Error:
❌ Invalid amount. Use a positive number.
💡 Usage: finance add 50000 "lunch"
All data is stored locally in ~/.finance-tracker/:
transactions.json — Machine-readable dataFINANCE_LOG.md — Human-readable logData is automatically synced to both files.
When your human says "I spent 50k on lunch", run:
finance add 50000 "lunch"
When they ask "how much did I spend this week?", run:
finance report week
When they ask "what did I spend on food?", run:
finance search "food"
"lunch at cafe"k for thousands to save typing: 50k instead of 50000finance recent to verify transactions were logged~/.finance-tracker/Made with 🦞 by Salen
npx claudepluginhub sundial-org/awesome-openclaw-skillsLogs expenses from natural language, auto-categorizes, tracks budgets, and provides spending summaries on demand. Data persists locally.
Tracks business income, expenses, and cash flow in CSV format. Generates P&L summaries, spending trends, and tax prep reports for freelancers and small businesses.
Parses natural language expense descriptions in Chinese/English and appends structured entries to a QianJi CSV ledger. Supports multi-entry splitting, category inference, and confirmation workflow.