Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Automatically detect and log health data (weight, blood sugar, exercise) to AX3 system. Use when user sends health measurements via WhatsApp or other messagi...
Automatically detect and log health data (weight, blood sugar, exercise) to AX3 system. Use when user sends health measurements via WhatsApp or other messagi...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
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.
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.
Automatically detect health metrics from user messages and record them to AX3 Personal system. Supports weight, blood sugar, and exercise time tracking with flexible input formats.
Trigger this skill when user messages contain: Weight measurements (e.g., "體重69.8公斤", "69.8kg", "69.8") Blood sugar readings (e.g., "血糖120", "120 mg/dL") Exercise time (e.g., "跑步機30分", "跑步30")
Use the record_health_data.py script to process any message: python3 scripts/record_health_data.py "體重69.8公斤" The script will: Extract health metrics from the message Validate the values are within reasonable ranges Record to AX3 using mcporter Return confirmation with record IDs
Habit ID: 1 Unit: kg Range: 40-200 kg Supported formats: 體重69.8公斤 69.8kg 69.8 (plain number)
Habit ID: 4 Unit: mg/dL Range: 50-500 mg/dL Supported formats: 血糖120 120 mg/dL
Habit ID: 2 Unit: minutes Supported formats: 跑步機30分 跑步30
Receive message from WhatsApp or other channel Run script with message text: python3 scripts/record_health_data.py "<message>" Extract metrics using regex patterns Validate values are in reasonable ranges Record to AX3 via mcporter call to ax3-personal.record_habit Confirm with user showing what was recorded
# Single metric python3 scripts/record_health_data.py "體重69.8公斤" # Output: ✅ 體重 69.8 kg 已記錄 # Multiple metrics in one message python3 scripts/record_health_data.py "體重69.8公斤 血糖120" # Output: # ✅ 體重 69.8 kg 已記錄 # ✅ 血糖 120 mg/dL 已記錄
When a user sends a health-related message: Call the script with the message text Parse the JSON output to check if data was detected If detected, respond with confirmation (e.g., "收到!69.8 kg 已記錄 📝") If not detected, reply normally without mentioning the skill
The script includes validation: Out of range values are ignored (e.g., weight of 500kg won't be recorded) Invalid formats are silently skipped mcporter failures are captured and returned in the JSON output
Python script that handles: Pattern matching for various health data formats Value validation and range checking AX3 API calls via mcporter JSON output for programmatic integration The script can be called directly or integrated into message handling workflows.
Messaging, meetings, inboxes, CRM, and teammate communication surfaces.
Largest current source with strong distribution and engagement signals.