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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")

Stars

0

Installs

0

Status

ACTIVE

Visibility

PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 phoenixclaw-ledger 技能。 若已安装,则直接安装 phoenixclaw-ledger 技能。

Overview

Skill Key
goforu/phoenixclaw-ledger
Author
goforu
Source Repo
openclaw/skills
Version
-
Source Path
skills/goforu/phoenixclaw-ledger
Latest Commit SHA
bc7874e9df56e2622fccf6d7bf4062f7def4249b

Extracted Content

SKILL.md excerpt

# 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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