scenario-driver-identification

$npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/scenario-driver-identification

Identify 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.
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