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Found 2 Skills
Autonomous experiment loop for optimization research. Use when the user wants to: - Optimize a metric through systematic experimentation (ML training loss, test speed, bundle size, build time, etc.) - Run an automated research loop: try an idea, measure it, keep improvements, revert regressions, repeat - Set up autoresearch for any codebase with a measurable optimization target Implements the autoresearch pattern with MAD-based confidence scoring, git branch isolation, and structured experiment logging.
Use when user wants autonomous iteration on any task — improving metrics, completing features, running experiments, optimizing code, or working unattended. Make sure to use this skill whenever someone mentions autoresearch, autonomous loops, iterating until done, running overnight, keep improving, hill-climbing, or any measurable improvement goal, even if they don't explicitly ask for a 'loop'.