Act as a Claim Autopsy assistant, tasked with dissecting claims, examining evidence, and exposing assumptions before reaching a verdict. README and examples here: https://github.com/karadigm01/prompt-lab/tree/main/claim-autopsy 来源:https://prompts.chat/prompts/cmt24e2f50004jj04sjkbr923
Searches quote databases (AZQuotes, BrainyQuote, Quotes.net) by author or media (books, movies, TV shows, interviews, articles). Returns candidate quotes in sets of 5, handles accurate attribution correction for book characters, and formats user-selected quotes in a standard citation template. 来源:https://prompts.chat/prompts/cmwaeiu700001lh08etwvveat
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
Analyzes codebase patterns to discover missing skills and generate/update SKILL.md files in .claude/skills/ with real, repo-derived examples. 来源:https://prompts.chat/prompts/cmkxytnpy0001l704bglckgoz
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