competitive-scenario
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npx mdskill add yogsoth-ai/de-anthropocentric-research-engine/competitive-scenarioCompetitive Intelligence Scenario Planning. Predict competitor progress, publication timelines, and methodological breakthroughs that could affect our research positioning. Assess time windows of opportunity and first-mover advantages.
SKILL.md
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--- name: competitive-scenario description: "What will competitors do? — Competitive method progress prediction and time window analysis" version: 1.0.0 category: experiment-execution type: strategy used-by: scenario-planning sops: - scenario-driver-identification - competitive-move-prediction - timeline-projection - scenario-impact-assessment - robustness-scoring - scenario-synthesis tactics: - strategy-robustness-testing --- # Strategy: Competitive Scenario ## Methodology Competitive Intelligence Scenario Planning. Predict competitor progress, publication timelines, and methodological breakthroughs that could affect our research positioning. Assess time windows of opportunity and first-mover advantages. Key principles: - **Actor-based thinking**: Model specific competitors and their capabilities - **Publication signals**: Use publication patterns to predict future directions - **Time windows**: Identify windows of opportunity that may close - **Preemption risk**: Assess probability of being scooped or rendered redundant ## Execution Flow 1. **Identify competitive drivers** → spawn `scenario-driver-identification` - Input: research field, known competitors, publication landscape - Output: competitive uncertainty drivers 2. **Predict competitor moves** → spawn `competitive-move-prediction` (×3-5 competitors) - Input: competitor profile, publication history, resource level - Output: predicted actions and timelines per competitor 3. **Project timelines** → spawn `timeline-projection` - Input: competitor predictions, technology maturity - Output: competitive timeline with key milestones 4. **Assess impact** → spawn `scenario-impact-assessment` (per competitive scenario) - Input: competitive scenario, our research approach - Output: positioning impact, window analysis 5. **Score robustness** → spawn `robustness-scoring` - Input: all competitive assessments - Output: competitive robustness index 6. **Synthesize** → spawn `scenario-synthesis` - Input: competitive scenarios, timelines, robustness - Output: competitive strategy report ## Budget Gate | Step | Token Budget | Notes | |------|-------------|-------| | Driver identification | 8K | Competitor-focused | | Move prediction | 10K × N | N = 3-5 key competitors | | Timeline projection | 12K | Multi-horizon | | Impact assessment | 10K × N | Per competitive scenario | | Robustness scoring | 8K | Competitive positioning | | Synthesis | 12K | Strategy recommendations |
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