Skate Score: AI Coach & Judge for Android

Skate Score: AI Coach & Judge, from Shakesbeard Labs, is a mobile app that provides automated technical feedback and scoring for figure skaters using computer vision. The app analyzes recorded routines and returns judged scores plus element-level comments to help users interpret deductions and performance trends. Key capabilities include automated element detection, session logging, and tailored practice prompts. Competitive skaters, coaches, and parents receive objective metrics to inform training and test preparation.

What tasks can you actually use it for?

The app performs element identification and classification across typical skating content, with automated detection of jumps, spins, step sequences, and choreographic items. It explicitly recognizes jumps from singles through quads and spin types such as camel, sit, layback, and combinations, and it supports pairs and ice dance elements including lifts, throws, and pattern-dance steps. Those outputs are presented as discrete element events that a coach or skater can review after each recorded attempt.

How accurate are the outputs compared to doing it manually?

The app produces IJS-formatted outputs including base values, Grade of Execution, and Program Component Score breakdowns, and it provides element-level notes on under-rotations, edge calls, and level deductions. Behind those judgments it tracks 33 body points and measures joint angles to expose micro-movements. Community feedback highlights the detail of those breakdowns, though automated calls should be treated as objective data to be confirmed by a human coach for contest-grade decisions.

What input requirements and processing limits affect results?

The app runs on Android and accepts recorded or uploaded video captured with a device camera. Analysis requires a stable internet connection because processing happens in the cloud, and the system is designed to return detailed feedback within seconds after upload. Those constraints mean analysis speed and reliability depend on network quality and the quality of the recorded footage provided to the cloud service.

Does it require technical knowledge to get useful results and how does it fit into workflows?

The interface targets skaters and coaches rather than developers, and outputs are framed as coaching cues rather than raw model logs. Shakesbeard Labs positions this offering alongside other CheckForm tools for sports like gymnastics and cheerleading, indicating a product family approach to sports analysis. In practice the app supplies quantifiable session data that complements coach observation, integrating into routine practice review rather than replacing hands-on instruction.

A practical training adjunct that should be paired with human review

Skate Score is a pragmatic option for competitive skaters and coaches who want objective, session-level analytics supported by generally positive community feedback. Because analysis is performed remotely and automated scoring mirrors official IJS logic, use the app to quantify practice trends and recurring faults, while relying on certified judges and coach interpretation for competition-ready decisions.