phoenixclaw-ledger

Detect and structure financial events from conversations and payment screenshots.

1|1|Updated Mar 18, 2026
One-click install
npx skills add https://github.com/xianmingyao/openclaw-CaySon --skill phoenixclaw-ledger-xianmingyao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: phoenixclaw-ledger
Source: https://github.com/xianmingyao/openclaw-CaySon/tree/main/skills/phoenixclaw-ledger
Command: npx skills add https://github.com/xianmingyao/openclaw-CaySon --skill phoenixclaw-ledger-xianmingyao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) and assets (resource) components.

What problem does it solve?

PhoenixClaw Ledger automates extraction of financial events from conversations and payment screenshots, turning messy notes into structured expense data.

Core Features & Use Cases

  • Automatic detection of expenses, income, and transfers from chat transcripts and images
  • Categorization, journaling, and integration with PhoenixClaw Core for daily/weekly/monthly financial reports
  • Budget tracking, insights, and goal management to support personal finance

Quick Start

Enable PhoenixClaw Ledger and begin auto-detecting expenses from chats and payment screenshots.

Frequently Asked Questions about phoenixclaw-ledger

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically track expenses from chat messages and payment screenshots?

Automatic expense tracking from chat messages and payment screenshots works by detecting financial events in your conversations and images, then structuring them into categorized ledger entries. This eliminates manual data entry by extracting transaction details directly from your daily communications.

Can I generate daily, weekly, and monthly financial reports from chat transcripts?

Generating daily, weekly, and monthly financial reports from chat transcripts is supported by integrating with Core to drive scheduled views. It structures your transaction data into journals and exports sections to provide ongoing financial insights and budget tracking.

Does this auto ledger detection work across multiple languages and platforms?

Auto ledger detection operates across multiple languages and platforms to structure financial events from user conversations. It automatically categorizes transactions regardless of the language used in your chat transcripts or payment screenshots.

How do I categorize income, expenses, and transfers detected from conversation notes?

Categorizing income, expenses, and transfers detected from conversation notes is handled automatically by the system. It identifies transaction types from your unstructured text and payment images, populating the ledger with properly categorized financial data.

Can I manage budget goals and get scheduled financial insights from extracted transactions?

Managing budget goals and getting scheduled financial insights from extracted transactions is a core feature. It supports budget tracking, goal management, and scheduled reports by storing structured data in the ledger and integrating with Core for ongoing analysis.

What is the best way to turn messy financial notes into structured expense data?

Turning messy financial notes into structured expense data is best handled by automated extraction from conversations and payment screenshots. This approach detects financial events, categorizes them, and populates a ledger without requiring manual entry or formatting.