optimize

Installation
SKILL.md

Run the evo optimization loop. Each round, the orchestrator writes structured briefs and spawns 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.

This skill is the canonical loop for ALL post-discover work — including serial workloads. If the workspace's resource profile forces width 1 (single GPU, single-process benchmark, etc.), you still invoke /evo:optimize -- just pass subagents=1. The loop's value is the STRUCTURE around each experiment (scan-subagent cross-cutting analysis between rounds, verifier pre/post hooks via the subagent skill, ideator spawning on stall, frontier reconciliation, stop-hook discipline), NOT just parallelism. Bypassing optimize because "I'm running serial work anyway" loses every piece of that structure -- you've reverted to ad-hoc experiment iteration with none of evo's loop benefits, just the bookkeeping.

Plain-language trigger. In an initialized evo workspace, casual user wording like "try a couple ideas", "try different variants", "use the available GPUs", "continue from the current best", or "see what improves" is an optimize request unless the user explicitly asks for a read-only report. Do not treat the lack of a slash command as permission to bypass this protocol. Loading this skill from plain-language wording is also explicit authorization to use the host's subagent mechanism for the resolved round width; the user does not have to say "spawn subagents" or "parallel agents" separately.

Installs
94
Repository
evo-hq/evo
GitHub Stars
1.3K
First Seen
Apr 12, 2026
optimize — evo-hq/evo