Water Coach
Hydration tracking and coaching skill.
- Rating
- 4.3 (383 reviews)
- Downloads
- 589 downloads
- Version
- 1.0.0
Overview
Hydration tracking and coaching skill.
Complete Documentation
View Source →
💧 Water Coach
First-time Setup
Follow the first setup here references/setup.md
🤖 How Other Agents Should Interact
First-time Setup Check
water setup
| is_setup | What to do |
|---|---|
| false | Ask: weight OR desired goal. Also ask: "What times do you want water reminders?" (let user configure their schedule). Then use water set_body_weight 80 or water set_goal 3000. Don't assume hardcoded times! |
| true | Skip setup. Just log water or show status. |
❌ Don't Ask
- Reminder schedules after first setup (user already configured)
✅ Do Ask
- "How much water did you drink?"
- Only weight/goal (first time)
CLI Structure
water_coach.py <namespace> <command> [options]
Namespaces: water | body | analytics
Data Format
CSV Format
logged_at,drank_at,date,slot,ml_drank,goal_at_time,message_id
| Column | Description |
|---|---|
| logged_at | When user told you (NOW) |
| drank_at | When user actually drank (user can specify past time) |
| date | Derived from drank_at |
| slot | morning/lunch/afternoon/evening/manual |
| ml_drank | Amount in ml |
| goal_at_time | Goal at that moment |
| message_id | Audit trail - link to conversation |
- drank_at is MANDATORY - always required
- If user doesn't specify drank_at → assume drank_at = logged_at
- Cumulative is calculated at query time (not stored)
- Use drank_at to determine which day counts
Audit Trail
Every water log entry captures:
- message_id: Links to the conversation message where user requested the log
- Auto-capture: CLI automatically gets message_id from session transcript
- Proof: Use
water auditto get entry + conversation context
# Check proof of a water entry
water audit msg_123
# Returns: entry data + surrounding messages for context
⚠️ Privacy Notice: The audit feature can read your conversation transcripts, but only when you explicitly runwater audit. This is off by default (audit_auto_capture: false).
>bash> # Edit water_config.json and set: > "audit_auto_capture": true >
> How it works:
- Water log always saves the message_id (regardless of this setting) ✅
- When you run water audit :
- If false: Shows entry data only (message_id saved, but no context read)
- If true: Also reads transcript to show conversation context ("User said: I drank 500ml")
> Why disable it? If you discuss sensitive topics and don't need proof of intake, leave it off.
Daily Commands
# Water
water status # Current progress (calculated from drank_at)
water log 500 # Log intake (drank_at = now)
water log 500 --drank-at=2026-02-18T18:00:00Z # Log with past time
water log 500 --drank-at=2026-02-18T18:00:00Z --message-id=msg_123
water dynamic # Check if extra notification needed
water threshold # Get expected % for current hour
water set_body_weight 80 # Update weight + logs to body_metrics
water set_body_weight 80 --update-goal # + update goal
water audit <message_id> # Get entry + conversation context
# Body
body log --weight=80 --height=1.75 --body-fat=18
body latest # Get latest metrics
body history 30 # Get history
# Analytics
analytics week # Weekly briefing (Sunday 8pm)
analytics month # Monthly briefing (2nd day 8pm)
Rules (MUST FOLLOW)
- ALWAYS use CLI - never calculate manually
- LLM interprets first - "eu tomei 2 copos" → 500ml → water log 500
- Threshold from CLI - run
water threshold, don't hardcode - GOAL is USER'S CHOICE - weight × 35 is just a DEFAULT suggestion:
- At setup: Ask weight → suggest goal → CONFIRM with user
- On weight update: Ask "Want to update your goal to the new suggested amount?"
- User can set any goal (doctor's orders, preference, etc.)
Config Tree
water-coach/
├── SKILL.md ← You are here
├── scripts/
│ ├── water_coach.py ← Unified CLI
│ └── water.py ← Core functions
├── data/ ← DO NOT USE - keep skill code separate from user data
└── references/
├── setup.md
├── dynamic.md
└── log_format.md
⚠️ IMPORTANT: Data Location
User data is stored in the AGENT WORKSPACE, NOT in the skill folder!| Data | Location |
|---|---|
| water_log.csv | |
| water_config.json | |
| body_metrics.csv | |
Why? Keeps user data separate from skill code — makes backups, migrations, and skill updates easier.
Notifications Schedule
Type When Command User Configured Per user's schedule water status Default Suggestion 9am, 12pm, 3pm, 6pm, 9pm water status Dynamic Every ~30 min (heartbeat) water dynamic Weekly Sunday 8pm analytics week Monthly 2nd day 8pm analytics month
Notification Rules (MUST FOLLOW)
- USER CONFIGURES THEIR SCHEDULE — Agent should ask user: "What times do you want water reminders?" and respect that
- NO "no log" skip logic — Always send notifications when scheduled, don't skip because user hasn't logged water
- Notifications STIMULATE logging — That's the point! Don't assume user will log on their own
Quick Reference
Task Command Check progress water_coach.py water status Log water water_coach.py water log 500 Need extra? water_coach.py water dynamic Body metrics water_coach.py body log --weight=80 Weekly report water_coach.py analytics week Monthly report water_coach.py analytics month
Dynamic Scheduling details
→ references/dynamic.md⚠️ Bug Fix (Feb 2026)
The water dynamic command had a bug where the hourly notification counter wouldn't reset when the hour changed. This is now fixed:
- The script now checks if the current hour differs from
last_extra_hour and resets the counter accordingly
This ensures notifications work correctly after hour boundaries (e.g., 4PM)
⚠️ Bug Fix (Feb 2026) - Analytics
The analyticsPM → 5 week and analytics month commands had a bug:
- Was looking for non-existent
cumulative_ml column in CSV
Fixed to sum ml_drank per day instead
✅ How to Build Good Weekly/Monthly Reports
Use these functions (don't reinvent):
Report Script Function Weekly water_coach.py analytics week analytics_week() in water_coach.py Monthly water_coach.py analytics month analytics_month() in water_coach.py
These call get_week_stats() and get_month_stats() in water.py`.When updating analytics functions, follow these rules:
1. Include ALL days, even with 0ml
# In get_week_stats() / get_month_stats()
# Include every day in the range, not just days with data
for i in range(days):
d = (date.today() - timedelta(days=i)).strftime("%Y-%m-%d")
ml = by_date.get(d, {}).get("ml", 0) # Default to 0, not skip
2. Calculate true average
# Average = total_ml / ALL days (including zeros), not just tracked days
avg_ml = total_ml / days # e.g., 15440ml / 7 days = 2205ml/day
3. Show all days in table format
| Dia | ML | % | Status |
| Sab 22 | 2250ml | 67.7% | ⚠️ |
| Seg 17 | 0ml | 0.0% | ❌ |
This gives users an accurate picture of their habits!
Tests
python3 -m pytest skills/water-coach/scripts/test/test_water.py -v
Example
User: "eu tomei 2 copos"
Agent: (LLM interprets: 2 copos ≈ 500ml)
Agent: exec("water_coach.py water log 500")
→ Python logs to CSV
Agent Evaluations → evaluation/AGENT.md
Installation
openclaw install water-coach
💻Code Examples
water_coach.py <namespace> <command> [options]
Namespaces: `water` | `body` | `analytics`
---
## Data Format
### CSV Formatlogged_at,drank_at,date,slot,ml_drank,goal_at_time,message_id
| Column | Description |
|--------|-------------|
| logged_at | When user told you (NOW) |
| drank_at | When user actually drank (user can specify past time) |
| date | Derived from drank_at |
| slot | morning/lunch/afternoon/evening/manual |
| ml_drank | Amount in ml |
| goal_at_time | Goal at that moment |
| message_id | Audit trail - link to conversation |
**Key Rules:**
- **drank_at is MANDATORY** - always required
- If user doesn't specify drank_at → assume drank_at = logged_at
- **Cumulative is calculated at query time** (not stored)
- Use drank_at to determine which day counts
Details at [references/log_format.md](references/log_format.md)
### Audit Trail
Every water log entry captures:
- **message_id**: Links to the conversation message where user requested the log
- **Auto-capture**: CLI automatically gets message_id from session transcript
- **Proof**: Use `water audit <message_id>` to get entry + conversation context# Returns: entry data + surrounding messages for context
> ⚠️ **Privacy Notice**: The audit feature can read your conversation transcripts, but **only when you explicitly run `water audit <message_id>`**. This is off by default (`audit_auto_capture: false`).
>
>analytics month # Monthly briefing (2nd day 8pm)
---
## Rules (MUST FOLLOW)
1. **ALWAYS use CLI** - never calculate manually
2. **LLM interprets first** - "eu tomei 2 copos" → 500ml → water log 500
3. **Threshold from CLI** - run `water threshold`, don't hardcode
4. **GOAL is USER'S CHOICE** - weight × 35 is just a DEFAULT suggestion:
- At setup: Ask weight → suggest goal → **CONFIRM with user**
- On weight update: Ask "Want to update your goal to the new suggested amount?"
- User can set any goal (doctor's orders, preference, etc.)
---
## Config Tree└── log_format.md
### ⚠️ IMPORTANT: Data Location
**User data is stored in the AGENT WORKSPACE, NOT in the skill folder!**
| Data | Location |
|------|----------|
| water_log.csv | `<agent-workspace>/memory/data/water_log.csv` |
| water_config.json | `<agent-workspace>/memory/data/water_config.json` |
| body_metrics.csv | `<agent-workspace>/memory/data/body_metrics.csv |
Example path: `/home/oriel/.openclaw/workspace/memory/data/`
**Why?** Keeps user data separate from skill code — makes backups, migrations, and skill updates easier.
---
## Notifications Schedule
| Type | When | Command |
|------|------|---------|
| User Configured | Per user's schedule | water status |
| Default Suggestion | 9am, 12pm, 3pm, 6pm, 9pm | water status |
| Dynamic | Every ~30 min (heartbeat) | water dynamic |
| Weekly | Sunday 8pm | analytics week |
| Monthly | 2nd day 8pm | analytics month |
### Notification Rules (MUST FOLLOW)
- **USER CONFIGURES THEIR SCHEDULE** — Agent should ask user: "What times do you want water reminders?" and respect that
- **NO "no log" skip logic** — Always send notifications when scheduled, don't skip because user hasn't logged water
- **Notifications STIMULATE logging** — That's the point! Don't assume user will log on their own
---
## Quick Reference
| Task | Command |
|------|---------|
| Check progress | `water_coach.py water status` |
| Log water | `water_coach.py water log 500` |
| Need extra? | `water_coach.py water dynamic` |
| Body metrics | `water_coach.py body log --weight=80` |
| Weekly report | `water_coach.py analytics week` |
| Monthly report | `water_coach.py analytics month` |
## Dynamic Scheduling details
→ [references/dynamic.md](references/dynamic.md)
### ⚠️ Bug Fix (Feb 2026)
The `water dynamic` command had a bug where the hourly notification counter wouldn't reset when the hour changed. This is now fixed:
- The script now checks if the current hour differs from `last_extra_hour` and resets the counter accordingly
- This ensures notifications work correctly after hour boundaries (e.g., 4PM)
### ⚠️ Bug Fix (Feb 2026) - Analytics
The `analyticsPM → 5 week` and `analytics month` commands had a bug:
- Was looking for non-existent `cumulative_ml` column in CSV
- Fixed to sum `ml_drank` per day instead
### ✅ How to Build Good Weekly/Monthly Reports
**Use these functions (don't reinvent):**
| Report | Script | Function |
|--------|--------|----------|
| Weekly | `water_coach.py analytics week` | `analytics_week()` in `water_coach.py` |
| Monthly | `water_coach.py analytics month` | `analytics_month()` in `water_coach.py` |
These call `get_week_stats()` and `get_month_stats()` in `water.py`.
**When updating analytics functions, follow these rules:**
**1. Include ALL days, even with 0ml**| Seg 17 | 0ml | 0.0% | ❌ |
This gives users an accurate picture of their habits!
## Tests# Check proof of a water entry
water audit msg_123
# Returns: entry data + surrounding messages for context> # Edit water_config.json and set:
> "audit_auto_capture": true
># Water
water status # Current progress (calculated from drank_at)
water log 500 # Log intake (drank_at = now)
water log 500 --drank-at=2026-02-18T18:00:00Z # Log with past time
water log 500 --drank-at=2026-02-18T18:00:00Z --message-id=msg_123
water dynamic # Check if extra notification needed
water threshold # Get expected % for current hour
water set_body_weight 80 # Update weight + logs to body_metrics
water set_body_weight 80 --update-goal # + update goal
water audit <message_id> # Get entry + conversation context
# Body
body log --weight=80 --height=1.75 --body-fat=18
body latest # Get latest metrics
body history 30 # Get history
# Analytics
analytics week # Weekly briefing (Sunday 8pm)
analytics month # Monthly briefing (2nd day 8pm)water-coach/
├── SKILL.md ← You are here
├── scripts/
│ ├── water_coach.py ← Unified CLI
│ └── water.py ← Core functions
├── data/ ← DO NOT USE - keep skill code separate from user data
└── references/
├── setup.md
├── dynamic.md
└── log_format.mdTags
Quick Info
Ready to Install?
Get started with this skill in seconds
Related Skills
4claw
4claw — a moderated imageboard for AI agents.
Aap Passport
Agent Attestation Protocol - The Reverse Turing Test.
Adaptive Suite
A continuously adaptive skill suite that empowers Clawdbot.
Adversarial Prompting
Adversarial analysis to critique, fix.