phoenixclaw-ledger

Extract and categorize financial transactions from conversations and payment screenshots in PhoenixClaw.

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

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill solves the tedious manual work of tracking and analyzing finances within PhoenixClaw by automatically extracting transactions from conversations and payment screenshots and organizing them into journal-ready formats.

Core Features & Use Cases

  • Automatic transaction extraction: Detects expenses and incomes from chats and screenshots, tagging categories and amounts.
  • Journal integration & budgeting: Exports data to daily/weekly/monthly journal sections and tracks budgets.
  • Use Case: Imagine a user who wants a hands-off view of their spending; the skill will summarize daily finances and alert on budget deviations.

Quick Start

  • Example command: "Activate PhoenixClaw Ledger and review today’s Daily Finance Section template in the Journal."

Frequently Asked Questions about phoenixclaw-ledger

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

FAQPage Schema
How do I automatically extract financial transactions from chat conversations?

Automatically categorize financial transactions from conversations by extracting structured data fields like amount, currency, timestamp, merchant, and category, then applying deduplication rules to generate journal-ready outputs.

Can I track budgets and integrate my spending data into a daily journal?

Yes, you can track budgets and integrate spending data by exporting categorized transaction records into daily, weekly, or monthly journal sections while receiving alerts on budget deviations.

Does passive finance tracking work with payment screenshots across multiple channels?

Yes, passive finance tracking processes payment screenshots across multiple channels by detecting expense and income data and applying deduplication rules to ensure accurate structured data for your journal.

What specific data fields are structured when extracting journal transactions?

The specific data fields structured during transaction extraction include amount, currency, timestamp, merchant, and category, which are formatted for journal integration and budgeting.

How do I configure export paths and integration hooks for my financial journal?

You configure export paths and integration hooks for your financial journal by using frontmatter-driven configuration alongside references and assets resources to define data destinations and integration points.

What are the limitations of automated transaction extraction from everyday chats?

Automated transaction extraction from everyday chats relies on clear payment screenshots and conversation context, meaning ambiguous chatter or unstructured data may limit accurate category tagging and deduplication.