sundial-org/awesome-openclaw-skills

finance-tracker

Track personal expenses with natural language. Log spending, view reports, search transactions. Works with any AI model.

First seen Mar 8, 2026

Installation

$ npx skills add sundial-org/awesome-openclaw-skills --skill finance-tracker

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Also in this package

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Windsurf Not declared
Gemini CLI Not declared
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Also listed on

Alternate registries and mirrors of this skill.

Repository health

Stars 660
License LICENSE
Default branch main
Open issues 12
Status Active

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 3,631 B
  • docs SUMMARY.md 143 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 18 installs

SKILL.md

Finance Tracker

Track personal expenses with natural language. Simple, accurate, works with any model.

Installation

clawdhub install finance-tracker

Or manually add to your system PATH:

export PATH="$PATH:/path/to/finance-tracker/bin"

Quick Start

Add an expense:

finance add 50000 "lunch at cafe"

View this month's spending:

finance report month

Commands

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

Periods

For reports, use these period options:

  • today — Today only
  • week — Last 7 days
  • month — Last 30 days (default)
  • year — Last 365 days
  • all — All time

Amount Formats

These all work:

  • 50000 — Plain number
  • 50k or 50K — With k suffix (= 50,000)
  • "50 000" — With spaces (will be parsed)

Auto-Categorization

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.

Output Format

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"

Data Storage

All data is stored locally in ~/.finance-tracker/:

  • transactions.json — Machine-readable data
  • FINANCE_LOG.md — Human-readable log

Data is automatically synced to both files.

Examples for Agents

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"

Tips

  1. Always quote descriptions with spaces: "lunch at cafe"
  2. Use k for thousands to save typing: 50k instead of 50000
  3. Check finance recent to verify transactions were logged
  4. Categories are case-insensitive
  5. Data persists across sessions in ~/.finance-tracker/

Made with 🦞 by Salen