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Runs the SkillOpt single-lineage optimization loop, which organizes a hill-climb into epochs over mini-batches of train tasks under a textual learning rate — an integer edit budget that decays on a constant|linear|cosine schedule — and ends each epoch with one extra gated consolidation step. Parent is always the current best; acceptance is the val significance gate. Use when a run should anneal from broad early edits to small late ones and consolidate once per epoch, rather than hill-climb's one-shot whole-trainset proposals or gepa's Pareto frontier.

Install

npx skills add skillberry-ai/cap-evolve --skill skillopt -a claude-code

Installs to .claude/skills/skillopt/ · Each command fetches the skill straight from GitHub with the open skills CLI.

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