xint
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
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")
请根据来源仓库和你的 AI 工具说明安装此技能。先阅读技能文件和依赖要求,再添加到工作流。
SkillHub CLI
skillhub install goforu/phoenixclaw-ledger打开来源仓库,查看说明和兼容环境后,按来源提供的命令或步骤安装。
将来源链接提供给你的 Agent,让它先读取说明、核对依赖,并向你说明将执行的安装步骤。
PhoenixClaw Ledger automatically extracts financial transactions from your daily conversations and payment screenshots, requiring zero manual input.
| 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 |
As a PhoenixClaw plugin, Ledger hooks into the post-moment-analysis phase:
references/expense-detection.md)references/payment-screenshot.md)references/merchant-category-map.md
~/PhoenixClaw/Finance/ledger.yaml
assets/daily-finance-section.md
While passive by design, users can interact directly:
这些信息来自收录时的来源分析,可能滞后;使用前请核对最新来源文件。
# 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...
X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.
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