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PythonReactSEOPDF
OpenClaw

phoenixclaw-ledger

Passive financial tracking plugin for PhoenixClaw. Automatically detects expenses and income from conversations and payment screenshots. Use when: - User mentions money/spending (any language) - User shares payment screenshots (WeChat Pay, Alipay, etc.) - User asks about finances ("How much did I spend?", "My budget") - User wants expense reports ("Monthly summary", "Spending analysis")

goforu0 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install goforu/phoenixclaw-ledger

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

Instructions

PhoenixClaw Ledger: Zero-Effort Financial Tracking

PhoenixClaw Ledger automatically extracts financial transactions from your daily conversations and payment screenshots, requiring zero manual input.

Core Capabilities

Feature Description
Semantic Expense Detection AI identifies spending mentions in natural conversation
Screenshot Recognition Extracts transaction data from payment app screenshots
Smart Categorization Auto-categorizes based on merchant and context
Budget Tracking Monthly budget alerts and progress visualization
Financial Insights Pattern analysis integrated into journal Growth Notes
Goal Management Savings, budget control, habit, and wishlist goals
Weekly Reports Automated Sunday 9 PM spending recap
Query Support Real-time natural language financial inquiries
Spending Trends Multi-month analytical spending visualization
Transaction Browser Interactive complete transaction history view

Workflow

As a PhoenixClaw plugin, Ledger hooks into the post-moment-analysis phase:

  1. Receive Moments: Get identified moments from PhoenixClaw Core
  2. Detect Finances: Scan for expense/income signals in text and media
    • Text: Semantic patterns (see references/expense-detection.md)
    • Media: Payment screenshots (see references/payment-screenshot.md)
  3. Extract Data: Parse amount, merchant, category, timestamp
  4. Categorize: Apply rules from references/merchant-category-map.md
  5. Deduplicate: Prevent double-counting same transaction
  6. Store: Write to ~/PhoenixClaw/Finance/ledger.yaml
  7. Export: Generate journal section using assets/daily-finance-section.md

Explicit Triggers

While passive by design, users can interact directly:

  • "How much did I spend today/this week/this month?"
  • "Show my expense breakdown"
  • "Set my monthly budget to [amount]"
  • *"What are my top spendi...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/goforu/phoenixclaw-ledger
Version
—
Commit
bc7874e9df56e2622fccf6d7bf4062f7def4249b
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

SKILL.md
# PhoenixClaw Ledger: Zero-Effort Financial Tracking

PhoenixClaw Ledger automatically extracts financial transactions from your daily conversations and payment screenshots, requiring zero manual input.

## Core Capabilities

| Feature | Description |
|---------|-------------|
| **Semantic Expense Detection** | AI identifies spending mentions in natural conversation |
| **Screenshot Recognition** | Extracts transaction data from payment app screenshots |
| **Smart Categorization** | Auto-categorizes based on merchant and context |
| **Budget Tracking** | Monthly budget alerts and progress visualization |
| **Financial Insights** | Pattern analysis integrated into journal Growth Notes |
| **Goal Management** | Savings, budget control, habit, and wishlist goals |
| **Weekly Reports** | Automated Sunday 9 PM spending recap |
| **Query Support** | Real-time natural language financial inquiries |
| **Spending Trends** | Multi-month analytical spending visualization |
| **Transaction Browser** | Interactive complete transaction history view |

## Workflow

As a PhoenixClaw plugin, Ledger hooks into the `post-moment-analysis` phase:

1. **Receive Moments**: Get identified moments from PhoenixClaw Core
2. **Detect Finances**: Scan for expense/income signals in text and media
   - Text: Semantic patterns (see `references/expense-detection.md`)
   - Media: Payment screenshots (see `references/payment-screenshot.md`)
3. **Extract Data**: Parse amount, merchant, category, timestamp
4. **Categorize**: Apply rules from `references/merchant-category-map.md`
5. **Deduplicate**: Prevent double-counting same transaction
6. **Store**: Write to `~/PhoenixClaw/Finance/ledger.yaml`
7. **Export**: Generate journal section using `assets/daily-finance-section.md`

## Explicit Triggers

While passive by design, users can interact directly:

- *"How much did I spend today/this week/this month?"*
- *"Show my expense breakdown"*
- *"Set my monthly budget to [amount]"*
- *"What are my top spendi...

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