Search

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 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install goforu/phoenixclaw-ledger

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill 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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/goforu/phoenixclaw-ledger
Version
—
Commit
bc7874e9df56e2622fccf6d7bf4062f7def4249b
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

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...

Related skills

OpenClaw

xint

0xnyk

X Intelligence CLI — search, monitor, analyze, and engage on X/Twitter. TypeScript + Bun. AI agent skill.

OpenClaw

bambu-studio-ai

heyixuan2

Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...

OpenClaw

flightclaw

jackculpan

Track flight prices from Google Flights with this OpenClaw skill. Search routes, monitor prices, and get alerts when prices drop.

OpenClaw

openclaw-trading-assistant

openclaw-trade

openclaw trading assistant| openclaw trading skill | nof1.ai & openclaw [moltbot] collaboration | We get the best practices from alpha arena trading seasons and bring it to clawdbot All top AI agents, realtime...