desire-evaluatorlisted

<!-- version: 0.2.0 | outputs: memory/ideas/<slug>/desire_scores.json --> # Skill: desire-evaluator ## Purpose Apps that tap into primal human desires outperform apps that only solve functional problems. This skill scores how strongly an app idea connects to core motivational drivers, which predicts organic virality, retention, and pricing power. ## Input - Idea slug - `memory/ideas/<slug>/idea.md` (app concept, emotional trigger, audience vocabulary, `business_model`) - `memory/market_insights/<niche>-*-<YYYY>-<MM>.md` (pain language, complaint patterns; use all available platform files) - Reference: `memory/extra-context/core-human-desires.md` (what drives core human desires) ## Desire Dimensions | Dimension | Description | Example App | |---|---|---| | Survival | Health, safety, financial security | Calorie tracker, budgeting app | | Status | Looking good, achieving, winning | Fitness leaderboard, portfolio tracker | | Belonging | Community, connection, not being alone | Group savings, running clubs | | Control | Mastery, autonomy, reducing chaos | Task manager, habit tracker | | Curiosity | Learning, discovery, novelty | Language app, quiz game | ## Scoring Rubric Score each desire 1–5 by answering its three diagnostic questions. Each "yes" backed by evidence from `idea.md` or market_insights is one point above the base of 1; two yes answers give 3, three give 4; award 5 only when all three are yes AND the audience's own vocabulary names the desire (a hashtag, a