# Gymcam Analytics

> Turn a gym's existing cameras and class schedule into attendance and trainer-performance analytics — daily summaries, per-trainer fill rates and no-shows, classes ranked by profitability. Use when a gym owner asks which classes to cut, who their best trainer is, how busy the gym is today, or which classes make money — no check-ins, no new hardware.

- Skill: `axelfreeman/gymcam-analytics` (Agent Skill, multi-file: 10 files)
- Install (CLI): `npx skillmds@latest add axelfreeman/gymcam-analytics`
- Raw SKILL.md: https://api.skillmd.com/api/skills/axelfreeman/gymcam-analytics/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Data & Analytics
- Author: axelfreeman (https://skillmd.com/u/axelfreeman)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/axelfreeman/gymcam-analytics

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# GymCam Analytics

GymCam turns the cameras a gym already has into attendance + trainer-performance analytics. Use these MCP tools when the user wants to know how a gym is actually performing — without check-in data or new hardware.

## Tools

- `get_today_summary` — classes held today, total attendance, top classes
- `get_trainer_attendance` — fill-rate / no-shows per trainer (day or week)
- `get_class_performance` — classes ranked by fill rate (spot dead classes)
- `get_revenue_insights` — most profitable vs. dead classes

## Setup

1. Get an API key at https://gymcamanalytics.com/get-key and set `GYMCAM_API_KEY`.
2. Install and wire the MCP server into your agent — full per-agent instructions are in the README.

## Workflows

- "Which classes should I cut?" → `get_class_performance`, look at the bottom of the fill-rate ranking.
- "Who's my best trainer?" → `get_trainer_attendance` per trainer, compare `avg_fill_rate`.
- "How was today?" → `get_today_summary`.
- "Which classes make money?" → `get_revenue_insights`.