# Physiquinator

> Physiquinator — kadato-physiquinator. Use this tool when you need to track and manage your workouts across different platforms, and want features like rest timers, AI assistance, and analytics to optimize your fitness routine. The Physiquinator tool accepts user input on exercise and workout data, and outputs personalized insights and recommendations. It is particularly useful for individuals seeking a comprehensive and data-driven approach to fitness tracking, with seamless integration across Android and other devices.

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

## Description

Cross-platform workout tracker built with .NET MAUI and Blazor Hybrid. Rest timer with Android floating overlay, AI assistant, analytics, and MCP server.

## Trust

- **Trust score (0–1):** 0.87
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

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

## 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": "kadato-physiquinator"
    }
  }
}
```

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