Expense Comparison
Written in-house · editorially graded
Every SkillsBank offering is written in-house — never scraped or crowd-sourced — and graded against a fixed editorial rubric in a separate grading step.
Dry-run test passed · Jun 15, 2026
Editorially graded · Jun 15, 2026
Provides a paste‑ready prompt that, given two months of expense data, generates a concise comparison table. The prompt instructs the LLM to calculate total spend per category for the current month, the previous month, compute delta percentages, and highlight the top three increases. Input: two CSV snippets – one for the current month and one for the prior month – each with columns Date, Category, Amount. Output: a markdown table listing Category, Current Total, Prior Total, Δ%, and a brief insight sentence for each highlighted category.
A ready-to-paste prompt you can drop into your AI.
- Claude · ChatGPT · Gemini
- Paste it in, fill the [brackets]
- Any AI assistant
- Works anywhere you can paste text
See it in action
A real input → output sample
Date,Category,Amount,Notes 2025-01-05,Groceries,$150.00,weekly shop 2025-01-07,Dining,$45.50,lunch 2025-01-10,Transport,$30.00,gas 2025-01-12,Entertainment,$200.00,movie tickets 2025-01-15, dining ,$60.00,dinner 2025-01-20,Utilities,$120.00,electric bill 2025-01-22,Groceries,$0.00,refund 2025-01-25,Subscription,$12.99,netflix 2025-01-28,Miscellaneous,abc,invalid amount 2025-01-30,Transport,(25.00),refund negative
# Month-Over-Month Expense Comparison | Category | Current Total | Prior Total | Δ% | |---|---|---|---| | Dining | $105.50 | $0.00 | NEW | | Entertainment | $200.00 | $0.00 | NEW | | Groceries | $150.00 | $0.00 | NEW | | Subscription | $12.99 | $0.00 | NEW | | Transport | $5.00 | $0.00 | NEW | | Utilities | $120.00 | $0.00 | NEW | | **Grand Total** | **$593.49** | **$0.00** | **NEW** | # Top Spending Increases - **Entertainment** up NEW (+$200.00) - **Groceries** up NEW (+$150.00) - **Utilities** up NEW (+$120.00) # Notes - **Skipped row:** Date 2025-01-28, Category Miscellaneous, raw Amount “abc” - **Category merge:** “dining” + “Dining” → unified as “Dining” - **Currency assumption:** No currency symbol was present on all rows; the predominant symbol ($) was applied uniformly. - **Missing dataset:** Prior month CSV was not provided; prior totals defaulted to $0.00 for all categories.
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