Generate interactive emoji matching puzzles with circular scatter positioning in React.
npx skills add https://github.com/vicharanashala/tenali --skill twin-hunt
Please help me install this Agent Skill. Skill: Twin Hunt Source: https://github.com/vicharanashala/tenali/tree/main/supermarket/twinhunt Command: npx skills add https://github.com/vicharanashala/tenali --skill twin-hunt
Twin Hunt provides a structured, engaging way to test visual processing speed and pattern recognition through a client-side game interface.
Launch the Twin Hunt game interface to begin a session with the default settings of 5 objects per panel and 10 rounds.
High-intent search queries and answers about installing and using this skill.
Twin Hunt generates interactive visual matching puzzles using randomized emoji sets and circular scatter positioning algorithms, facilitating cognitive testing and user engagement through a client-side React component.
Yes, you can configure difficulty by adjusting the number of objects per panel from 3 to 15 and setting the total number of rounds in the game session.
The client-side React component implements state management for round progression and timer tracking, displaying accuracy and response time in a real-time results table.
No server-side dependencies are required. State management, round progression, and performance analytics operate entirely within the client-side React component architecture.
Visual emoji puzzles are randomized using a pool of 40 emojis combined with circular scatter positioning algorithms to automatically create unique matching panels for each round.
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