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SkillOpt-Sleep: Offline Agent Self-Evolution
skillopt-sleep
alirezarezvani/claude-skills
283
SkillOpt-Sleep enables an AI agent to undergo a simulated "sleep cycle" for continuous, measurable self-improvement. It harvests past sessions, mines recurring tasks, and re-runs them offline. It then consolidates findings into the agent's memory and skills, ensuring only validated improvements are adopted. This process maximizes long-term competence from short-term interactions.
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