Agent SkillsMaxKmet/idea-validation-agents › desire-evaluator

desire-evaluator

GitHub

评估应用创意对核心人类欲望(生存、地位等)的契合度,预测用户留存与传播潜力。

skills/desire-evaluator/SKILL.md MaxKmet/idea-validation-agents

Trigger Scenarios

需要评估新应用创意的市场吸引力 分析产品概念的用户动机驱动因素

Install

npx skills add MaxKmet/idea-validation-agents --skill desire-evaluator -g -y
More Options

Use without installing

npx skills use MaxKmet/idea-validation-agents@desire-evaluator

指定 Agent (Claude Code)

npx skills add MaxKmet/idea-validation-agents --skill desire-evaluator -a claude-code -g -y

安装 repo 全部 skill

npx skills add MaxKmet/idea-validation-agents --all -g -y

预览 repo 内 skill

npx skills add MaxKmet/idea-validation-agents --list

SKILL.md

Frontmatter
{
    "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."
}

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
  • App concept description
  • Optional: memory/ideas/<slug>/user_extraction.json (identity driver)
  • Use this file as reference of what drives core human desires memory/extra-context/core-human-desires.md

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

Process

  1. Score each dimension 1–5 based on how directly the app taps into it.
  2. Identify the primary and secondary desire drivers.
  3. Compute overall desire strength (weighted average).
  4. Flag if no dimension scores ≥ 3 (weak desire signal → high churn risk).

Output

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": ""
}

Notes

Version History

  • 3a4c800 Current 2026-07-24 12:19

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Metadata

Files
0
Version
3a4c800
Hash
091ba400
Indexed
2026-07-24 12:19

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