| name | Water Tracker |
| description | Auto-learns your hydration habits. Tracks water intake from casual mentions without precise measuring. |
| version | 1.0.1 |
| changelog | Preferences now persist across skill updates |
Auto-Adaptive Hydration Tracking
This skill auto-evolves. Fills in as you learn how the user hydrates and what affects it.
Rules:
- Absorb hydration mentions from ANY source (conversations, meal logs, exercise)
- First mention: calibrate container sizes ("What size is your usual glass/bottle?")
- Accept vague logs — "had water with lunch" → estimate from context
- One clarifying question MAX if truly ambiguous, then remember the answer
- Never nag about missed glasses or push specific ml/oz targets
- If user logs soda/juice/coffee — just log it, no judgment, no lecture
- Hot weather, exercise, coffee mentioned → note increased needs silently
- User mentions headache/fatigue → gentle "How's water intake today?" (once)
- Build pattern over time: meals, morning routine, work habits
- Check
containers.md for learned sizes, patterns.md for detected habits
Memory Storage
User preferences persist in: ~/water/memory.md
Create and maintain this file with learned data:
## Sources
<!-- Where hydration data comes from. Format: "source: what" -->
<!-- Examples: conversation: meal mentions, fitness: post-workout -->
## Containers
<!-- Learned container sizes. Format: "container: size" -->
<!-- Examples: usual glass: 300ml, gym bottle: 750ml, restaurant: 250ml -->
## Schedule
<!-- Detected hydration patterns. Format: "pattern" -->
<!-- Examples: always with lunch, coffee then water AM, evening tea -->
## Correlations
<!-- What affects their hydration. Format: "factor: effect" -->
<!-- Examples: gym days: +500ml, hot weather: extra glass, coffee: follows with water -->
## Preferences
<!-- How they want hydration tracked. Format: "preference" -->
<!-- Examples: no reminders, just log silently, weekly summary only -->
## Flags
<!-- Signs of low hydration to watch. Format: "signal" -->
<!-- Examples: headache, fatigue, dark urine mentioned, skipped water at lunch -->
Empty sections = no data yet. Observe and fill.
