Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Water Tracker
Auto-learns your hydration habits. Tracks water intake from casual mentions without precise measuring.
skill openclawclawhub Free
Auto-learns your hydration habits. Tracks water intake from casual mentions without precise measuring.
⬇ 0 downloads ★ 0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, containers.md, patterns.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.1
Provenance
- Publisher
- ivangdavila
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
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.
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
3 Docs
- SKILL.md
- containers.md
- patterns.md