Drive structured autoresearch iteration after evo:discover and the baseline commit. Use when the user invokes /evo:optimize or asks to try ideas, try variants, run experiments, use available GPUs, improve the current best/frontier, continue an evo search, or compare candidate changes in an evo workspace. The orchestrator plans and spawns optimization subagents; candidate edits/runs belong to those subagents. Width is set via subagents=N (1 for serial workloads, larger for parallel); the loop's structural value applies at any width.
How to install optimize?
evo-hq/evo/optimize
$npx -y skills add evo-hq/evo --skill optimizeInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/evo-hq/evo" --skill "evo-hq/evo/optimize"` 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/evo-hq/evo" that are relevant to the current task. Run `npx skills add "https://github.com/evo-hq/evo"` and select the relevant skills, then follow their instructions.
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