# deepnatal

> deepnatal — breezefeng-deepnatal. Use this tool when you need to generate accurate natal charts using a robust engine that cross-verifies calculations through three independent methods. It solves problems of uncertainty and inaccuracy in astrological chart generation, providing reliable outputs through its library and MCP server interface. Ideal for use cases requiring precise and trustworthy astrological data, such as horoscope generation or personality analysis.

Canonical page: https://skillsregistry.net/skills/breezefeng-deepnatal  
JSON: https://api.skillsregistry.net/v1/skills/breezefeng-deepnatal

## Description

Natal chart engine that cross-verifies three independent ways — and refuses to answer when it can't. Library + MCP server.

## 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/breezefeng/deepnatal)

## 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": "breezefeng-deepnatal"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/breezefeng-deepnatal` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/breezefeng-deepnatal/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