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From itropa
This skill provides the analytical frameworks for analyzing the inspiration chains behind innovations. Used conversationally when the user asks to trace inspiration chains.
npx claudepluginhub joncik91/itropa-pluginHow this skill is triggered — by the user, by Claude, or both
Slash command
/itropa:chain-analysisThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
This skill provides the analytical frameworks for analyzing the inspiration chains behind innovations. Used conversationally when the user asks to trace inspiration chains.
Decomposes topics, technologies, market signals, or global events into 6 layers (L0 Signal to L6 Research Landscape) via Socratic plain-text conversation. Generates HTML artifact after L6.
Applies structured ideation methods like SCAMPER, TRIZ, Six Thinking Hats, and Biomimicry to generate research ideas and explore interdisciplinary connections. Use for stuck problems, improvements, or contradictions.
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This skill provides the analytical frameworks for analyzing the inspiration chains behind innovations. Used conversationally when the user asks to trace inspiration chains.
Activate when performing inspiration chain analysis on an industry expression.
Before analysis, build the chain context from the target expression:
inspirations array (direct ancestors)Format as:
TARGET INNOVATION: "Industry Name"
Enabler: mutation text
Core Insight: insight text
DIRECT INSPIRATIONS:
- Source1: mechanism (twist: how adapted)
- Source2: mechanism (twist: how adapted)
AVAILABLE CONTEXT (N related expressions for deeper analysis)
Map the complete genealogy of ideas that led to this innovation.
Output structure:
{
"analysisType": "lineage-tracing",
"targetInnovation": "Industry Name",
"genealogy": {
"directAncestors": [
{"source": "Immediate inspiration", "contribution": "What it provided", "era": "When it emerged"}
],
"indirectInfluences": [
{"source": "Earlier influence", "connection": "How it connects", "degree": "1st|2nd|3rd generation"}
],
"foundationalConcepts": ["Core concept 1", "Core concept 2"]
},
"lineageDepth": 3,
"branchingFactor": 2,
"strategicInsight": "Key insight about lineage",
"heritageStrength": 75,
"noveltyRatio": 25
}
Identify which prior innovations had the strongest influence and how.
Output structure:
{
"analysisType": "influence-mapping",
"targetInnovation": "Industry Name",
"influenceNetwork": {
"primaryInfluences": [
{
"source": "Key inspiration",
"influenceType": "Conceptual|Technical|Structural|Market",
"strength": 85,
"mechanism": "What was borrowed",
"transformation": "How it was adapted"
}
],
"secondaryInfluences": [
{"source": "Supporting inspiration", "influenceType": "Type", "strength": 40, "role": "Supporting role"}
],
"crossDomainBorrowing": ["Idea from domain X"]
},
"totalInfluenceScore": 80,
"originalityScore": 70,
"strategicInsight": "Key insight about influence",
"dominantInfluenceType": "Conceptual|Technical|Structural|Market",
"innovationMechanism": "How influences were combined"
}
Identify where this innovation deviates from its inspirations and why.
Output structure:
{
"analysisType": "divergence-patterns",
"targetInnovation": "Industry Name",
"keyDivergences": [
{
"aspect": "What changed",
"fromPattern": "Original approach",
"toPattern": "New approach",
"divergenceType": "Substitution|Addition|Removal|Transformation",
"rationale": "Why the change",
"impact": "Effect of divergence"
}
],
"divergenceScore": 65,
"continuityScore": 35,
"strategicInsight": "Key insight about divergence",
"breakingPoints": ["Where it breaks tradition 1"],
"retainedCore": ["What stayed the same 1"]
}
Measure the pace of change and evolution in this innovation chain.
Output structure:
{
"analysisType": "innovation-velocity",
"targetInnovation": "Industry Name",
"velocityMetrics": {
"generationGap": "Time between major innovation cycles",
"accelerationTrend": "Speeding up|Slowing down|Steady",
"breakthroughFrequency": "How often major shifts occur",
"incrementalPace": "Rate of small improvements"
},
"velocityDrivers": ["What accelerates change 1"],
"frictionFactors": ["What slows change 1"],
"velocityScore": 75,
"momentumIndicator": "high|medium|low",
"strategicInsight": "Key insight about velocity",
"futureTrajectory": "Predicted pace of evolution",
"disruptionRisk": "high|medium|low"
}
Evaluate how well the innovation integrates its various inspirations.
Output structure:
{
"analysisType": "coherence-assessment",
"targetInnovation": "Industry Name",
"coherenceMetrics": {
"integrationQuality": "How well components fit together",
"internalConsistency": "Degree of logical consistency",
"purposeAlignment": "How well it serves stated goal",
"contradictionResolution": "How conflicting elements are resolved"
},
"coherenceStrengths": ["Strong point 1"],
"coherenceWeaknesses": ["Weak point 1"],
"coherenceScore": 80,
"synthesisQuality": "high|medium|low",
"strategicInsight": "Key insight about coherence",
"stabilityImplications": "How coherence affects long-term viability",
"improvementOpportunities": ["How to increase coherence 1"]
}