Compares two CSV exports of the same records (old vs new, billing vs ledger, source vs warehouse) by key after normalizing headers, delimiters, currency formats, accounting negatives, dates and case. Reports added, removed and duplicate keys, key format drift, changed values per column with tolerances, possible re-keys and a control-total bridge, then writes a reconciliation report. Includes a stdlib Python checker with --self-test. 来源：https://prompts.chat/prompts/cmvrsgiov0017jt07ksqlpubk
Checks CSV time series (metrics, sensor readings, sales by hour) for data problems before you chart or alert on them: missing intervals, duplicate or out-of-order timestamps, empty values, flatlines from stuck exporters, robust median/MAD spikes, and counter resets. Use when a dashboard looks wrong, before training a forecast, or when asking "is this data complete?". Includes a stdlib Python checker with --self-test. 来源：https://prompts.chat/prompts/cmvexglly000rjr088nxj0x8r
Checks invoices before you pay or send them - recomputes every line (quantity x unit price minus discount) and the VAT or sales tax per line, the tax breakdown and the totals from a JSON or CSV export. Reports arithmetic errors, rates outside your list, per-line vs per-invoice rounding, discounts, duplicate lines and invoices, missing required fields and date problems. Includes an offline stdlib Python checker. Not tax advice. 来源：https://prompts.chat/prompts/cmw0d94c40007jz08toqsg3n3
Profiles CSV and spreadsheet exports before you trust them: infers column types and measures missing values, duplicates, mixed types, outliers, date format chaos, and key uniqueness with a tested Python script, then writes a prioritized data quality report with safe fixes. 来源：https://prompts.chat/prompts/cmuz806nl000aid04oivgasj2
Builds fixed-rate loan and mortgage amortization schedules, shows how much of each payment goes to interest, and compares payoff strategies such as extra monthly payments, one-off lump sums, a higher fixed payment, or a shorter term, with interest saved, months saved, payoff date, and an APR estimate when fees apply. Use when a user asks "how much interest will I pay?", "should I overpay my mortgage?", "what if I pay 200 more a month?", or wants a payoff plan for a car, student, or home loan. 来源：https://prompts.chat/prompts/cmv3hy93r000kjs06xgepd0t2
