# dalio-sovereign-strength-index

> dalio-sovereign-strength-index — sjamal-dalio-sovereign-strength-index. Use this tool when you need to analyze and understand macroeconomic trends and patterns using Ray Dalio's Changing World Order framework. It solves problems related to quantitative macroeconomic analysis, providing insights into global economic shifts and strengths. The tool takes in economic data as input and outputs quantitative scores and visualizations through its Python, FastAPI, Streamlit, and MCP interfaces.

Canonical page: https://skillsregistry.net/skills/sjamal-dalio-sovereign-strength-index  
JSON: https://api.skillsregistry.net/v1/skills/sjamal-dalio-sovereign-strength-index

## Description

A quantitative macroeconomic engine implementing Ray Dalio's Changing World Order frameworks with Python, FastAPI, Streamlit, and MCP interfaces.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/sjamal/dalio-sovereign-strength-index)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "sjamal-dalio-sovereign-strength-index"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/sjamal-dalio-sovereign-strength-index` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/sjamal-dalio-sovereign-strength-index/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt