SkillOpt-Sleep: offline self-evolution for a local Claude agent

SkillOpt-Sleep gives the user's agent a sleep cycle. While the user is offline (e.g. nightly), it reviews their real past Claude Code sessions, re-runs recurring tasks on their own API budget, and consolidates what it learns into memory (CLAUDE.md) and skills (SKILL.md) — but only keeps changes that pass a held-out validation gate, and only after the user adopts them. The agent gets measurably better at this user's recurring work, with no model-weight training. It is the deployment-time analogue of training: short-term experience → long-term competence.

It synthesizes three ideas:

• SkillOpt — the skill/memory doc is trainable text; bounded add/delete/replace edits; accepted only through a held-out gate; rejected edits become negative feedback.
• Claude Dreams — offline consolidation that reads past sessions and rebuilds memory (dedup/merge/resolve); the input is never mutated; output is reviewed then adopted.
• Agent sleep — periodic offline replay turns episodes into durable skill.

When to use this skill