メニュー
Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
| name | desire-evaluator |
| description | Scores the strength of core human desire motivations (survival, status, belonging, control, curiosity) for a given app idea to predict user pull and retention potential. |
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.
memory/ideas/<slug>/user_extraction.json (identity driver)memory/extra-context/core-human-desires.md| 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 |
Write to memory/ideas/<slug>/desire_scores.json:
{
"scores": {
"survival": 0,
"status": 0,
"belonging": 0,
"control": 0,
"curiosity": 0
},
"primary_driver": "",
"secondary_driver": "",
"desire_strength": 0,
"desire_strength_label": "strong | moderate | weak",
"virality_potential": "high | medium | low",
"notes": ""
}
Analyzes market trends across platforms (TikTok, Reddit, App Store, Google Trends) for a given topic or category. Writes a new file to memory/market_insights/.
Generates evidence-backed pivot options with scoring simulation, effort estimation, and indie buildability filtering. Writes pivot_options.json (structured) and pivot_report.md (human-readable brief). See canonical definition in skills/pivot-engine/SKILL.md.
Generates structured pivot options based on weak scoring dimensions. Writes pivot_options.json (structured) and pivot_report.md (human-readable brief). See canonical definition in skills/pivot-engine/SKILL.md.
Generates structured pivot options for a scored idea based on weak dimensions, market_insights signals, and founder constraints. Includes scoring simulation, minimum viable pivot criteria, effort estimation, and indie buildability filtering.
Models LTV, CAC by channel, LTV:CAC ratios, payback period, and viability verdict using retention data, market_insights calibration, and indie budget tiers. See canonical definition in skills/cac-modeler/SKILL.md.
Maps direct, indirect, substitute, and emerging competitors with review mining, positioning gap analysis, and market_insights-calibrated saturation scoring. See canonical definition in skills/competitor-mapper/SKILL.md.