A sophisticated financial analysis tool that identifies economic and debt cycle positions to provide strategic asset allocation advice.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install cycle-locator
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install cycle-locator using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Cycle Locator?
Cycle Locator is a professional-grade AI skill built on the principles of Ray Dalio's framework, specifically detailed in "How the Economic Machine Works." It enables users to pinpoint exactly where an economy stands within both short-term (5-8 years) and long-term (50-75 years) debt cycles. By synthesizing macro data, this Openclaw Skills contribution helps investors and analysts move beyond guesswork and into data-driven strategic planning.
The tool evaluates five critical dimensions: debt-to-income ratios, interest rate levels, credit conditions, asset valuations, and general economic sentiment. Whether you are navigating the early stages of expansion or the complexities of a deleveraging phase, Cycle Locator provides the structural clarity needed to understand market shifts before they happen.
Cycle Locator Use Cases
- Determining the current phase of the short-term and long-term debt cycles for specific countries.
- Formulating macro investment strategies and asset allocation plans based on economic positioning.
- Analyzing credit availability and debt accumulation speed against income growth.
- Avoiding common investment pitfalls like linear extrapolation during cycle reversals.
How Cycle Locator Works
- The user provides regional economic data including country, debt-to-income ratios, and current interest rates.
- The skill assesses qualitative inputs such as credit conditions (tight/loose) and asset price valuations.
- It compares current data against historical benchmarks to signal expansion or recession phases.
- The system analyzes the intersection of short-term fluctuations and long-term debt trends.
- Finally, it generates a comprehensive report including cycle stage identification, indicator signaling, and recommended weightings for stocks, bonds, cash, and gold.
Cycle Locator Setup
To integrate this skill into your environment, ensure you have the Openclaw Skills framework initialized. Clone the repository and reference the skill in your agent configuration.
# Example of referencing the skill in your local directory
cp -r skills/cycle-locator ~/.openclaw/skills/
# Verify installation
openclaw skills list
Cycle Locator Data Schema & Taxonomy
The skill utilizes a structured JSON schema for both input and output to ensure technical precision.
Input parameters
| Key | Type | Description |
|---|---|---|
| country | string | Target region for analysis |
| debt_to_income | number | Current debt-to-income percentage |
| credit_conditions | enum | Selection of Loose, Normal, or Tight |
| asset_prices | enum | Selection of Overvalued, Fair, or Undervalued |
Output Taxonomy
- short_term_cycle: Stages including Early/Late Expansion or Early/Late Recession.
- long_term_cycle: Phases from Early/Mid/Late to Deleveraging.
- asset_allocation: Specific rating (Overweight, Neutral, Underweight) for major asset classes.
Cycle Locator Advanced Features
- Multi-cycle synchronization: Simultaneously analyzes the interaction between 5-8 year cycles and 50-75 year super-cycles.
- Regional Calibration: Adjusts analysis logic to account for institutional differences between economies like the US and China.
- Risk Hedging Logic: Incorporates gold and cash positioning specifically for late-cycle hedging scenarios.
- Template-based reporting: Generates standardized cycle analysis reports suitable for professional investment portfolios.
SKILL.md
Loading
Related Openclaw Skills
MiroMind Deep Research
A powerful deep research skill utilizing MiroThinker AI to perform long-chain reasoning and automated report generation.
fitnessrec-fitapi
A high-precision fitness and nutrition skill providing verified scientific data on 16k foods, 3M branded products, and 5k exercises.
Content Win Loss Reviewer
A diagnostic tool for ecommerce and creator content that converts performance signals into actionable postmortem reviews and repeatable lessons.
AI-Generated Image Detection
A professional-grade forensic tool to detect if an image was created by generative AI models like Midjourney or DALL-E.
Agent Hivemind
Agent Hivemind is a collective intelligence layer that allows Openclaw agents to learn from each other by sharing and evolving proven skill combinations.
Brainstorming
A mandatory collaborative protocol that transforms vague ideas into rigorous technical designs before a single line of code is written.
Featured*
