What problem does it solve? Creators who sweep tech and AI news feeds end up with a long list of headlines and no clear answer to the question that matters: what should I actually make today? This Skill turns a raw batch of gathered items into a concrete production decision instead of another leaderboard. ## Core Features & Use Cases - Story clustering: Groups multiple outlets covering the same event into one story, deriving source_count and date_spread to detect breaking, saturated, early, or dead stories. - Five-dimension scoring: Scores each story on virality, sentiment pull, relevancy, timing, and differentiation, then blends them into four platform lanes (Short-form, Long-form, X, LinkedIn) with lane-specific overrides. - Decision output: Returns a ranked table, Make/Maybe/Skip verdicts, top-3 decision blocks with angle, hook, effort tag, and next-skill handoff, plus a machine-readable JSON block for automation. - Use Case: A scheduled morning task gathers 40 headlines from RSS feeds; this Skill clusters them into 12 stories, flags a thin day if nothing clears the Make bar, and tells you to film a Short on the top story with a ready hook. ## Quick Start Run my content radar on this batch of gathered headlines and tell me what to make today, for which platform, with an angle and a hook.
