geopolitical-signal-enricher

Enrich market signals with geopolitical context to reveal non-tech dependencies.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill geopolitical-signal-enricher
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: geopolitical-signal-enricher
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/geopolitical-signal-enricher
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill geopolitical-signal-enricher

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enrich a market signal with geopolitical context to reveal non-tech dependencies.

Core Features & Use Cases

  • Geopolitical mapping of signals, including geographic concentration, supply-chain dependencies, and policy exposure.
  • Scenario planning with base, upside, and downside geopolitics to understand risk trajectories.
  • Second-order effects assessment on AI infrastructure, cloud compute, and energy costs.

Quick Start

Provide geopolitical context for a given market signal.

Frequently Asked Questions about geopolitical-signal-enricher

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I add geopolitical context to a market signal?

To enrich a market signal with geopolitical context, you map its geographic concentration, supply-chain dependencies, and policy exposure. This process reveals non-tech dependencies and produces an enriched signal ready for decision-making.

What is geopolitical signal enrichment for risk analysis?

Geopolitical signal enrichment is the process of mapping industry developments to geographic concentration, supply-chain dependencies, and policy exposure. It reveals non-tech risks hidden within market signals for decision-making.

Can I assess policy exposure and supply-chain dependencies for technology trends?

Yes, you can assess policy exposure and supply-chain dependencies for technology trends. The enrichment process maps these geopolitical factors directly to industry developments, revealing non-tech dependencies affecting the trend.

How do I model base, upside, and downside geopolitical scenarios?

You model base, upside, and downside geopolitical scenarios by mapping risk trajectories for a given market signal. This scenario planning assesses second-order effects on AI infrastructure, cloud compute, and energy costs.

What is the best way to analyze second-order effects on AI infrastructure?

Analyzing second-order effects on AI infrastructure requires assessing geopolitical scenarios tied to market signals. This approach evaluates how supply-chain disruptions and policy changes impact cloud compute and energy costs.