Evaluate sleep data to classify daily energy and attention levels.
npx skills add https://github.com/picsky/flowos --skill morning-state
Please help me install this Agent Skill. Skill: morning-state Source: https://github.com/picsky/flowos/tree/main/templates/skills/morning-state Command: npx skills add https://github.com/picsky/flowos --skill morning-state
It solves the problem of misaligned daily plans by assessing whether your real sleep/energy state matches the pre-scheduled default.
Send your sleep duration and score (or a sleep screenshot) and tell the agent how you feel this morning so it can calibrate your energy mode and adjust today’s plan if needed.
High-intent search queries and answers about installing and using this skill.
You calibrate your daily energy mode from sleep data by sending your sleep duration, quality scores, wearable screenshots, or self-reported fatigue to evaluate your real state against the pre-scheduled default plan.
Yes, sleep screenshots from wearable apps are fully supported. The skill parses visual data from your screenshots alongside self-reported fatigue to determine your energy rating and adjust tasks accordingly.
If you only provide partial data like feeling tired, the skill uses progressive clarification. It asks one core question at a time to gather sufficient context without causing cognitive overload before updating your energy mode.
Sleep energy calibration actively compares your real energy state to a conservative default pre-plan, enabling dynamic adjustments. It adds or removes elastic items from tasks.md based on your actual capacity rather than following a rigid static schedule.
Yes, the skill performs deduplication checks on your STATE/today.md file. It ensures deterministic file updates by preventing redundant energy ratings and maintaining a single source of truth for your daily status.
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