scenario-driver-identification
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/scenario-driver-identificationIdentify top uncertainty drivers using PESTEL analysis for scenario planning
- Scans external factors to highlight uncertainties impacting future research
- Uses PESTEL framework to categorize political, economic, and other drivers
- Ranks drivers by impact and uncertainty scores based on research context
- Returns a prioritized list of 5-8 drivers for downstream scenario development
SKILL.md
.github/skills/scenario-driver-identificationView on GitHub ↗
--- name: scenario-driver-identification description: "Identify key uncertainty drivers using PESTEL framework scanning" version: 1.0.0 category: experiment-execution type: sop execution: subagent prompt: ./prompt.md used-by: - morphological-scenario - parameter-space-construction input: research context, planning horizon, domain constraints output: ranked list of 5-8 uncertainty drivers with impact and uncertainty scores --- # SOP: Scenario Driver Identification Identify the key uncertainty drivers that could shift the research landscape within the planning horizon. Uses PESTEL (Political, Economic, Social, Technological, Environmental, Legal) framework to ensure comprehensive coverage. Subagent — spawned via subagent-spawning/spawn-agent skill.