What problem does it solve? Manually reviewing bank and credit card statements to understand spending habits is tedious, especially with Japanese statements that use era-based dates and katakana merchant names. This Skill automates the extraction, categorization, and analysis of statement PDFs into actionable budget insights. ## Core Features & Use Cases - PDF Statement Parsing: Extract transactions from credit card and bank statement PDFs using pymupdf, handling Japanese Reiwa/Heisei date formats and payment types (one-time, installment, revolving). - Merchant Categorization: Classify spending into categories like groceries, dining, transit, and utilities using a built-in Japanese merchant mapping reference. - Saving Recommendations: Identify revolving debt interest costs, habitual small transit top-ups, convenience store spending, and unused subscriptions with specific yen-denominated impact estimates. - Use Case: A user uploads three months of EPOS card statements and receives a category breakdown table, month-over-month trends, and a prioritized list of saving opportunities such as paying off an 18% APR revolving balance. ## Quick Start Analyze the attached credit card statement PDF and show me my spending breakdown by category with saving tips.
