What problem does it solve? Creators often face a pile of news headlines, article titles, or topic ideas and have no systematic way to decide which ones are worth turning into posts, threads, or videos. This Skill replaces gut-feel triage with a consistent scoring model that ranks headlines by content-creation potential. ## Core Features & Use Cases - Three sub-scores per headline: virality (curiosity gap, contrarianism, specificity, emotional charge), sentiment pull (pre-existing audience feelings), and relevancy to the creator's stated niche or a general audience. - Per-platform scores: weighted blends produce separate 0-100 scores for X, LinkedIn, YouTube, and Instagram, plus a best-platform verdict. - Ranked batch output: a best-to-worst table, hook suggestions for the top 3, and a machine-readable JSON block for pipelines. - Use Case: Paste 15 tech news headlines and ask which are worth covering; receive a ranked table showing the top pick scores highest on X due to timeliness and contrarian framing, with a ready-to-use hook line. ## Quick Start Score and rank these headlines for virality and tell me which platform each is best suited for: [paste your list of titles].
