thinking_skill

Overview

This skill stress-tests ideas, strategies, and investments across 11 persistent world models spanning 6 months to 50 years. It runs adversarial analyses (RedTeam, FirstPrinciples, Council) and returns structured, horizon-by-horizon results so you can see how a plan performs across near and long-term futures. Use the default Standard tier for most runs, or choose Fast or Deep for quick checks or rigorous, high-stakes review.

How this skill works

The harness maintains 11 deep world models (6-month through 50-year) that capture geopolitics, technology, economics, society, environment, security, and wildcards for each horizon. When you submit an idea, strategy, or investment, the system runs parallel analyses across all horizons using configurable tiers: Fast (single-agent), Standard (parallel agents + RedTeam + FirstPrinciples), and Deep (full research + Council). Results are saved and can be refreshed when models are updated.

When to use it

• Validate a business strategy or product roadmap against multiple future horizons
• Stress-test an investment thesis for resilience across 6 months to 50 years
• Run adversarial analysis on policy proposals, programs, or contingency plans
• Refresh long-term planning when new research or geopolitical events occur
• Get a quick gut-check (Fast) or deep, rigorous review (Deep) for high-stakes choices

Best practices

• Choose the execution tier based on stakes: Fast for quick checks, Standard for routine analysis, Deep for major decisions
• Provide concise assumptions and desired outcomes to improve FirstPrinciples decomposition
• Review per-horizon recommendations and aggregated risks before deciding
• Refresh world models periodically after major data updates or events
• Use the stored model index to check last-updated dates before running tests

Example use cases

• Test a five-year product pivot against technology and regulatory futures across all horizons
• Evaluate a venture investment for durability under geopolitical and economic stressors
• Assess a governmental policy for long-term social and environmental impacts
• Compare competing strategies with adversarial red-teaming to surface failure modes
• Schedule a model refresh and rerun tests after a disruptive global event