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Optimize

After you've run discover and committed your baseline, this is the loop that drives all subsequent optimization work. It orchestrates rounds of structured experimentation: spawns subagents with concrete briefs, runs cross-cutting analysis between rounds, dispatches ideator subagents on stall, enforces verifier hooks pre and post. The width argument (subagents=N) scales from 1 for serial workloads up to whatever your binding resource allows, but the real value is the structure itself. Frontier-based parent selection, annotation discipline, and the scan-subagent cycle apply whether you're running one experiment at a time on a single GPU or fanning out across cores. Don't skip it just because your benchmark forces serial execution. You'd lose the scaffolding that makes evo autoresearch instead of ad-hoc iteration.

skills.sh installs
142
GitHub stars
1.5K
last updated
Jun 11, 2026

Install

$ npx -y skills add evo-hq/evo --skill optimize --agent claude-code

Installs into .claude/skills of the current project.

Files

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.

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Details

Repository
github.com/evo-hq/evo
Categories
Frontend Development, Git & Pull Requests, AI & Agent Building, Automation & Workflows
License
Apache-2.0
First seen
Jun 11, 2026

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