# garmin-pulse

> Use this tool when you need to synchronize daily health and fitness data from Garmin Connect into markdown files, solving data fragmentation and manual tracking problems. It takes Garmin Connect data as input and outputs markdown files, providing a seamless interface for fitness tracking and journaling. Ideal for users who want to consolidate their health data in a single, accessible location.

Canonical page: https://skillsregistry.net/skills/freakyflow-garmin-pulse  
JSON: https://api.skillsregistry.net/v1/skills/freakyflow-garmin-pulse

## Description

Syncs daily health and fitness data from Garmin Connect into markdown files.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-23

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** instructions
- **Runtime environment:** llm
- **Category:** file-system
- **Updated:** 2026-08-23

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/freakyflow-garmin-pulse)

## 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": "freakyflow-garmin-pulse"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/freakyflow-garmin-pulse` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/freakyflow-garmin-pulse/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