# omnibandbridge

> omnibandbridge — omnibandbridge-omnibandbridge. Use this tool when you need to track and analyze real-time fitness data from wearable devices like Mi Bands, Garmin watches, and Under Armour footpods. OmniBandBridge solves problems of limited data integration and analysis for runners and walkers, providing inputs like cadence, speed, and stride, and outputs like personalized metabolic power. It is ideal for use on platforms like Zwift, treadmills, or outdoor activities, where it can integrate with FTMS speed, incline, and heart rate data.

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

## Description

Free your Mi Bands, Garmin watches & Under Armour footpod! OmniBandBridge (OBB) tracks real-time running & walking data (cadence, speed, stride) from your wereable. Use it on Zwift, treadmills, or outdoors. Integrates FTMS speed/incline and HR to compute personalized metabolic power. Join our community to report bugs and suggest features!

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-21

## Source

- **Source listing:** [GitHub](https://github.com/omnibandbridge/omnibandbridge)

## 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": "omnibandbridge-omnibandbridge"
    }
  }
}
```

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