A comprehensive AI agent skill that enables natural language tracking of baby sleep, feeding, diapers, and growth via the Huckleberry app API.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-huckleberry-skill
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install openclaw-huckleberry-skill using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Huckleberry Baby Tracker?
The Huckleberry Baby Tracker for Openclaw Skills bridges the gap between AI-driven productivity and infant care management. By integrating directly with the Huckleberry Firebase backend, this skill allows parents and caregivers to log critical baby activities through simple text or voice commands. Whether you are tracking a nursing session, a diaper change, or a growth spurt, this tool ensures all data is synchronized in real-time across the Huckleberry ecosystem.
This integration is designed for developers and power users who want to automate their parenting workflows. It provides a robust CLI interface that Openclaw Skills can leverage to interpret natural language, manage timers for sleep and feeding, and maintain a detailed history of child development without the friction of manual app entry.
Huckleberry Baby Tracker Use Cases
- Starting and stopping sleep timers hands-free when the baby falls asleep or wakes up.
- Logging breastfeeding sessions including side switching and duration tracking.
- Recording bottle feeding details including volume, units, and milk type (formula vs. breast milk).
- Tracking diaper changes with medical-grade detail, including color, consistency, and amount.
- Monitoring growth metrics like weight and head circumference for pediatrician visits.
- Querying historical activity data to identify patterns in baby behavior over the last week.
How Huckleberry Baby Tracker Works
- The AI agent receives a natural language input from the user regarding a baby activity.
- The skill processes this input and invokes the underlying Python CLI script using specific parameters.
- The skill authenticates with the Huckleberry Firebase backend using secure credentials or environment variables.
- Commands are transmitted via gRPC to ensure immediate, real-time synchronization with the mobile app.
- The system automatically calculates timezone offsets and appends AI attribution to notes for every entry to ensure data integrity.
Huckleberry Baby Tracker Setup
To get started with this skill in your Openclaw Skills environment, install the API and configure your credentials:
# Install the Huckleberry API with bottle support
pip install git+https://github.com/Woyken/py-huckleberry-api.git
# Set your environment variables
export HUCKLEBERRY_EMAIL="[email protected]"
export HUCKLEBERRY_PASSWORD="your-password"
export HUCKLEBERRY_TIMEZONE="America/Los_Angeles"
Alternatively, you can create a configuration file at ~/.config/huckleberry/credentials.json with your login details.
Huckleberry Baby Tracker Data Schema & Taxonomy
The Huckleberry skill manages data across several key categories, ensuring all entries are properly tagged with metadata for the Openclaw Skills ecosystem:
| Data Type | Key Fields | Description |
|---|---|---|
| Sleep | start, pause, resume, notes |
Tracks durations and sleep sessions. |
| Feeding | side, amount, type, units |
Supports nursing and bottle (Formula/Breast Milk). |
| Diapers | mode, pee-amount, poo-amount, color, consistency |
Detailed tracking of bowel movements and hydration. |
| Growth | weight, height, head, units |
Monitors physical development over time. |
| Metadata | offset, child_id, attribution |
Ensures timezone accuracy and identifies the child profile. |
Huckleberry Baby Tracker Advanced Features
- Multi-child support allows users to manage multiple profiles using the
--childflag. - Automated AI attribution adds a "Created via AI" tag to every entry note for better record-keeping.
- Real-time gRPC synchronization ensures that data logged via the CLI appears instantly in the Huckleberry mobile app.
- Comprehensive diaper color and consistency guides help the AI agent provide better medical logging accuracy.
- Intelligent timer management allows for pausing and resuming sleep or nursing sessions dynamically.
SKILL.md
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