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/desire-evaluator

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.

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idea-validation-agents
47915 skills
Install
$ npx -y skills add MaxKmet/idea-validation-agents --skill desire-evaluator --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/desire-evaluator

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.md

desire-evaluator.SKILL.md
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.

<!-- version: 0.1.0 | 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
  • 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

<!-- TODO: Add scoring rubric with question bank per dimension --> <!-- TODO: Define what score justifies proceeding (e.g., at least one dimension ≥ 4) -->

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

<!-- TODO: Add cross-reference with retention-predictor — desire strength should inform habit score -->

Read more
Ships withidea-validation-agents

AI agents that act as your personal venture analyst - from startup idea brainstorming to full validation and go-to-market strategy. Built for developers who'd rather validate in 10 minutes than regret in six months. Powered by Claude Code, OpenAI Codex, and Cursor.

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MIT
License
4mo ago
Last commit
6mo ago
Created
4h ago
Added

Repo: MaxKmet/idea-validation-agents

Other skills on idea-validation-agents.