Skill UI

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.

Keep a Mac awake using the built-in caffeinate command during long builds, downloads, or supervised automation runs. Covers aggressiveness flags, tying sleep prevention to a PID, verification, monitoring, and safe early stop.

Analyze health goal data, identify goal patterns, evaluate progress, and provide personalized goal management advice. Supports correlation analysis with nutrition, exercise, sleep, and other health data.

Analyzes mental health data to identify psychological patterns, assess well-being, and provide personalized recommendations. Supports correlation analysis with sleep, exercise, and nutrition data.

This skill analyzes nutrition data to identify patterns and assess nutritional status. It provides personalized advice for dietary improvement. It can correlate nutrition data with exercise, sleep, and chronic disease information for comprehensive health insights. Users should use it for macro/micronutrient evaluation and dietary trend analysis.

Analyzes sleep data to identify patterns, assess sleep quality, and provide personalized improvement suggestions. Supports correlation analysis with other health data such as mood and exercise.

Analyzes TCM constitution data, identifies constitution types, evaluates characteristics, and provides personalized wellness advice. Supports correlation analysis with nutrition, exercise, sleep, and other health data.