user-test-sheevook
Skill0 starsChanged 3 months agoNo licenceView on GitHub
Sheevook-specialized marketing testing. A senior expert panel - fractional CMO, growth/virality strategist, performance media buyer, brand-positioning strategist, analytics & attribution lead, and community manager - plus a rotating bench of fifteen platform practitioners (X, LinkedIn, Instagram, TikTok, Facebook, YouTube, Reddit, Threads, Bluesky, Discord, Telegram, Pinterest, Snapchat, Tumblr, Hacker News) who each know their own platform's organic algorithm AND its ads manager for real. Tests the core loop (create -> tailor -> approve -> schedule -> publish -> analyze), ad campaign building, the analytics learning loop, the community reply queue, CSV import/export, and journey-stage placement. Scores TWO things: the product UX, and - unique to this skill - the marketing artifacts the app actually generates (would this post perform? would this get removed by a mod? is this ad set structured like a real buyer would build it? is any claim in it fabricated?). Includes domain-accuracy auditing of `lib/tailoring/platforms.ts`, `lib/ads/formats.ts`, and `lib/ads/networks.ts` against `research/` and live platform docs, plus planted-defect calibration that measures what the panel MISSES. Each persona runs as an isolated Agent subprocess. Use when you want "would a real marketing team run their launch on this, and would the content it made actually work?" - not generic UX.
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18 rules. About 0 are common, 10 are distinctive, and 8 are very specific to this project.
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≈10
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8
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