optimize

Run the `evo` optimization loop. Each round, the orchestrator writes structured briefs and spawns parallel subagents that execute within them. Each subagent is semi-autonomous: it reads the pointer traces, forms the concrete edit, runs experiments, and can iterate within its branch. Runs until interrupted or the stall limit is reached. ## Host conventions This skill runs on any host that implements the Agent Skills spec. When the body uses generic phrases, apply the host's best-fit equivalent: - **"spawn N subagents in parallel"** -- use your host's parallel-subagent or background-task tool if you have one (e.g. `Agent` with `run_in_background`, `spawn_agent` + `wait_agent`, `spawn_agents_on_csv` for batch). Respect the host's concurrency cap -- if N exceeds it, run in batches. If the host has no parallel-subagent tool, run them serially and note the reduced round width in the final summary. - **Slash commands shown in user-facing copy** (e.g. `/evo:optimize`) -- translate to your host's mention syntax when speaking to the user (e.g. `$evo optimize` on Codex -- plugin namespace then skill name, separated by a space). ## Configuration These defaults can be overridden via arguments: `/optimize [subagents=N] [budget=N] [stall=N]` - **subagents**: number of parallel subagents per round (default: 5) - **budget**: max iterations each subagent can run within its branch (default: 5) - **stall**: consecutive rounds with no improvement before auto-stopping (default: 5) ## Prereq...