# garmin-health

> Use this tool when you need to access and analyze your Garmin health and fitness data through natural language conversations. It solves problems related to tracking and understanding personal health metrics, such as activity levels, sleep patterns, and nutrition. The tool takes voice commands as input and provides personalized insights and data summaries as output.

Canonical page: https://skillsregistry.net/skills/eversonl-garmin-health-analysis  
JSON: https://api.skillsregistry.net/v1/skills/eversonl-garmin-health-analysis

## Description

Talk to your Garmin data naturally - "what.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-05-20

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** other
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/eversonl-garmin-health-analysis)

## 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": "eversonl-garmin-health-analysis"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/eversonl-garmin-health-analysis` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/eversonl-garmin-health-analysis/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