Autonomous metric-driven iteration loop. Modify code, measure a metric, keep improvements, discard regressions via git rollback. Works with any numeric metric and any direction (minimize/maximize). Use when: optimizing performance, reducing latency, minimizing bundle size, improving Lighthouse scores, or tuning any measurable metric. Triggers on: experiment, optimize, reduce latency, improve performance, minimize, maximize, benchmark, iterate, metric-driven, autoresearch
$npx -y skills add ariegoldkin/claude-forge --skill experimentInstalls into the current project.
Run `npx skills use "https://github.com/ariegoldkin/claude-forge" --skill "ariegoldkin/claude-forge/experiment"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/ariegoldkin/claude-forge" that are relevant to the current task. Run `npx skills add "https://github.com/ariegoldkin/claude-forge"` and select the relevant skills, then follow their instructions.