# fitbit-analytics

> Use this tool when you need to analyze and integrate Fitbit health and fitness data to track user activity, sleep patterns, and nutrition habits. It solves problems related to personalized fitness tracking, health monitoring, and data-driven insights. The tool takes in Fitbit user data as input and outputs actionable analytics and visualizations to inform wellness decisions.

Canonical page: https://skillsregistry.net/skills/kesslerio-fitbit-analytics  
JSON: https://api.skillsregistry.net/v1/skills/kesslerio-fitbit-analytics

## Description

Fitbit health and fitness data integration.

## 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:** data-analytics
- **Updated:** 2026-05-20

## Source

- **Source listing:** [ClawHub](https://clawskills.sh/skills/kesslerio-fitbit-analytics)

## 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": "kesslerio-fitbit-analytics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/kesslerio-fitbit-analytics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/kesslerio-fitbit-analytics/pull`

---
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