openclaw-ledger

Extract expense data from conversations and payment screenshots into a structured ledger.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

OpenClaw Ledger automates the tedious task of tracking expenses by extracting data from conversations and payment screenshots, turning messy input into a structured ledger.

Core Features & Use Cases

  • Semantic expense detection from natural conversations for automatic expense logging.
  • Screenshot-based OCR for payments from WeChat, Alipay, and other apps.
  • Smart merchant categorization and budget tracking with periodic reports.
  • Real-time query support and daily/weekly/monthly financial insights.
  • Local data storage with optional OpenClaw integration.

Quick Start

Configure your ledger and begin recording expenses via conversations or payment screenshots.

Frequently Asked Questions about openclaw-ledger

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

FAQPage Schema
How do I automate expense tracking from conversations and payment screenshots?

You can automate expense tracking from conversations and payment screenshots by using OCR to extract payment data and semantic detection to log expenses mentioned in natural dialogue, turning messy input into a structured ledger.

Can I extract payment data from WeChat and Alipay screenshots?

Yes, you can extract payment data from WeChat and Alipay screenshots. The Skill uses screenshot-based OCR specifically designed to parse payment details from these platforms and other similar apps.

How does semantic expense detection work for budget tracking?

Semantic expense detection works by analyzing natural conversations to identify mentions of money and automatically logging them into a structured ledger, enabling smart merchant categorization and continuous budget tracking.

What's the best way to generate periodic financial reports from a structured ledger?

The best way to generate periodic financial reports from a structured ledger is to use automated expense tracking tools that enforce structured YAML frontmatter and data storage, providing daily, weekly, or monthly financial insights.

Does automated expense tracking work without cloud storage?

Yes, automated expense tracking works without cloud storage by utilizing local data storage. The Skill stores your structured ledger locally, with optional OpenClaw integration available if remote synchronization is needed.