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weakness-detection

Business
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Analyzes idea-scoring output to identify the weakest dimensions, root causes of low scores, and probable failure modes if the idea were pursued as-is.

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How to use this skill

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  3. Review the proposed files and risks before you approve installation.
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Source SKILL.md: https://github.com/MaxKmet/idea-validation-agents/blob/HEAD/skills/weakness-detection/SKILL.md

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Skill: weakness-detection

Purpose

Before triggering the pivot engine, understand WHY dimensions are weak. A low distribution score might mean "no viral loop" (fixable) or "fundamentally wrong category for organic growth" (structural). Surface the root cause, not just the symptom.

Input

  • Idea slug
  • memory/ideas/<slug>/scores.json (required)
  • All available dimension files in memory/ideas/<slug>/

Weakness Classification

Root Cause TypeDescriptionFix Type
StructuralInherent to the idea, can't be pivoted awayDrop or major pivot
SituationalWeak due to user's current constraintsFixable (more time, budget)
Knowledge gapWeak because data is missingRun more research
AddressableWeak but has a clear fixTargeted pivot

Process

  1. Load scores.json, identify dimensions scoring below threshold.
  2. For each weak dimension, read the source file to understand why.
  3. Classify the root cause (structural / situational / knowledge gap / addressable).
  4. Describe the failure mode if the idea proceeded without fixing this weakness.

Output

Write to memory/ideas/<slug>/weaknesses.json:

{
  "weak_dimensions": [
    {
      "dimension": "",
      "score": 0,
      "root_cause_type": "structural | situational | knowledge-gap | addressable",
      "root_cause_description": "",
      "failure_mode": ""
    }
  ],
  "critical_weaknesses": [],
  "addressable_weaknesses": [],
  "overall_weakness_severity": "fatal | major | minor"
}

Notes