This skill helps you understand and extend Visual Object Model algorithms for terminal UI element detection and performance optimization.
npx playbooks add skill pproenca/agent-tui --skill vom-algorithms
The Vom Algorithms skill is used for testing and helps developers understand and extend Visual Object Model algorithms, specifically for detecting UI elements in terminal interfaces and optimizing their performance. This skill enables developers to improve the efficiency and accuracy of their terminal UI element detection. Developers would reach for this skill when they need to optimize the performance of their terminal UI applications or improve the detection of UI elements within them.
The 19-word prompt provides structured testing & qa guidance — covering detailed methodology and consistent output formats. Install it in one command.
This skill helps you understand and extend Visual Object Model algorithms for terminal UI element detection and performance optimization.
Vom Algorithms is a free testing & qa skill for AI coding agents. This skill helps you understand and extend Visual Object Model algorithms for terminal UI element detection and performance optimization.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
Run npx playbooks add skill pproenca/agent-tui --skill vom-algorithms in your terminal to install Vom Algorithms into your Claude Code session. It works immediately after installation.
Vom Algorithms is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Vom Algorithms is completely free and open source. The full source is available on GitHub at https://github.com/pproenca/agent-tui/tree/main/.claude/skills/vom-algorithms. You only need a subscription to the AI agent you use it with.
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