narrative-scenario
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/narrative-scenarioShell Scenario Method (Wack/van der Heijden). Construct rich, internally consistent narratives that illuminate qualitatively different futures. Focus on storytelling that reveals causal mechanisms and decision points rather than exhaustive enumeration.
SKILL.md
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--- name: narrative-scenario description: "What is the story of each future? — Shell method narrative construction for rich qualitative scenario understanding" version: 1.0.0 category: experiment-execution type: strategy used-by: scenario-planning sops: - scenario-driver-identification - scenario-narrative-construction - scenario-impact-assessment - robustness-scoring - scenario-synthesis tactics: - cross-consistency-filtering - strategy-robustness-testing --- # Strategy: Narrative Scenario ## Methodology Shell Scenario Method (Wack/van der Heijden). Construct rich, internally consistent narratives that illuminate qualitatively different futures. Focus on storytelling that reveals causal mechanisms and decision points rather than exhaustive enumeration. Key principles: - **Narrative coherence**: Each scenario tells a believable story with cause-and-effect logic - **Divergence**: Scenarios must be qualitatively different, not variations on a theme - **Decision relevance**: Scenarios illuminate choices the research team faces - **Memorable framing**: Each scenario gets a vivid name that captures its essence ## Execution Flow 1. **Identify drivers** → spawn `scenario-driver-identification` - Input: research context, planning horizon - Output: key uncertainty drivers ranked by impact × uncertainty 2. **Select axes** → identify the 2 highest-impact, highest-uncertainty drivers as scenario axes - Creates a 2×2 matrix of four qualitatively different futures 3. **Construct narratives** → spawn `scenario-narrative-construction` (×4) - Input: axis position, driver context, research approach - Output: rich narrative per quadrant 4. **Assess impact** → spawn `scenario-impact-assessment` (×4) - Input: scenario narrative, research approach - Output: impact analysis per scenario 5. **Score robustness** → spawn `robustness-scoring` - Input: all impact assessments - Output: robustness index 6. **Synthesize** → spawn `scenario-synthesis` - Input: all scenarios, robustness scores - Output: final report with strategic implications ## Budget Gate | Step | Token Budget | Notes | |------|-------------|-------| | Driver identification | 8K | PESTEL scan | | Axis selection | 4K | Ranking and selection | | Narrative construction | 15K × 4 | Rich storytelling | | Impact assessment | 10K × 4 | Per scenario | | Robustness scoring | 8K | Aggregation | | Synthesis | 12K | Final compilation |