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layer2_cycle_positioning

Map CAI and inflation scores to four economic cycle quadrants.

59|30|Updated Apr 30, 2026
Search Tags:#policy analysis#economic cycle positioning#CAI score#inflation score#debt cycle analysis
One-click install
npx skills add https://github.com/duolongworld/AI_Renaissance --skill layer2-cycle-positioning
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: layer2_cycle_positioning
Source: https://github.com/duolongworld/AI_Renaissance/tree/main/skills/macro/layer2_cycle_positioning
Command: npx skills add https://github.com/duolongworld/AI_Renaissance --skill layer2-cycle-positioning

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill addresses the complex task of economic cycle positioning by mapping CAI and inflation scores to discrete cycle states, and integrating policy dimensions and long-term debt cycles for positioning.

Core Features & Use Cases

  • Cycle Positioning: Maps CAI and inflation scores to four quadrant states (Z1-Z4), combining policy dimensions and long-term debt cycles for positioning.
  • Policy Analysis: Calculates policy scores based on monetary, fiscal, real estate, and regulatory policies.
  • Debt Cycle Analysis: Determines the position of the long-term debt cycle in the U.S. and China.
  • Use Case: This Skill is used to position the U.S. and Chinese economies in the four quadrants of the economic cycle based on CAI and inflation scores, and then combines this with policy and long-term debt cycle analysis to provide asset allocation recommendations.

Quick Start

Run the 'analyze_cycle_positioning' script with the required data inputs.

Frequently Asked Questions about layer2_cycle_positioning

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

FAQPage Schema
How do I position asset allocation based on economic cycle quadrants?▼

You map CAI and inflation scores to four quadrant states (Z1-Z4), then integrate policy dimensions and long-term debt cycles to generate asset allocation recommendations.

What is the best way to analyze long-term debt cycles for the US and Chinese economies?▼

Long-term debt cycle analysis determines the current position of the US and Chinese economies by combining monetary, fiscal, real estate, and regulatory policy scores with cycle quadrant mapping.

How do I calculate economic policy scores for investment forecasting?▼

Economic policy scores are calculated by evaluating monetary, fiscal, real estate, and regulatory policies, which are then mapped alongside CAI and inflation scores to forecast economic cycle states.

Does this cycle positioning approach require specific financial indicators as input?▼

Yes, economic cycle positioning requires analysis of financial indicators, policy signals, and long-term debt cycle data to accurately map CAI and inflation scores to quadrant states.

When should I integrate policy dimensions with CAI and inflation scores?▼

Integrate policy dimensions with CAI and inflation scores when you need comprehensive economic forecasting and investment decision-making that accounts for both current cycle states and regulatory shifts.

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