Detalle del Skill

finance-tracker

Useful personal expense tracker, but narrowly focused on spending logs and reports.

CoincidenciaPosibleRevisado para finanzas personales
Fuentesundial-org/awesome-openclaw-skillsFuente externa
Instalaciones reportadas10Solo señal de popularidad

Revisar antes de usar

La revisión automática comprueba relevancia, no seguridad ni respaldo. Lee las instrucciones de la fuente antes de usar este Skill.

Vista previa guardada

SKILL.md

Este extracto es una copia guardada durante la revisión. La fuente externa contiene la versión completa y actual.

---
name: finance-tracker
description: Track personal expenses with natural language. Log spending, view reports, search transactions. Works with any AI model.
---

# Finance Tracker

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

## Installation

```bash
clawdhub install finance-tracker
```

Or manually add to your system PATH:
```bash
export PATH="$PATH:/path/to/finance-tracker/bin"
```

## Quick Start

Add an expense:
```bash
finance add 50000 "lunch at cafe"
```

View this month's spending:
```bash
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:
```bash
finance add 50000 "lunch"
```

When they ask "how much did I spend this week?", run:
```bash
finance report week
```

When they ask "what did I spend on food?", run:
```bash
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
Leer la fuente completa en GitHub (abre una página externa)
Contexto

Trabajo relacionado