# GymCam Analytics

> GymCam Analytics — axelfreeman-gymcamanalytics. Use this tool when you need to analyze gym performance and optimize operations without additional hardware investments. GymCam Analytics enables AI agents to extract valuable insights, such as class attendance, trainer performance, and revenue data, from existing CCTV camera feeds. It provides a cost-effective solution for gym owners and managers to inform data-driven decisions and improve their business outcomes.

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

## Description

Enables AI agents to query gym analytics—class attendance, trainer performance, and revenue insights—from existing CCTV camera feeds without new hardware.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** iot-hardware
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/igmp7r4q8k)
- **Repository:** <https://github.com/axelfreeman/gymcamanalytics>

## 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": "axelfreeman-gymcamanalytics"
    }
  }
}
```

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