An AI-driven skill that creates personalized weather-themed character illustrations based on real-time data and user mood.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weather-character-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 weather-character-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 Weather Character?
The Weather Character skill is a creative automation tool designed for the Openclaw Skills ecosystem. It synthesizes real-time meteorological data, geographical landmarks from 27 Chinese cities, and user-defined mood states to generate unique, character-driven artwork. By leveraging a reference image system, it ensures character consistency while dynamically altering expressions and backgrounds to reflect the world outside your window.
This skill transforms a standard weather report into an interactive visual experience. It is ideal for developers and users who want to integrate artistic AI generation into their daily routines, providing a personalized and aesthetic start to every morning.
Weather Character Use Cases
- Automating a daily morning routine to visualize current weather conditions through AI art.
- Creating personalized social media content or status avatars that reflect local weather and personal mood.
- Enhancing AI agent interactivity within the Openclaw Skills framework through mood-aware image generation.
How Weather Character Works
- The skill initiates an interactive dialog asking the user to select their current mood and city.
- It fetches real-time weather data for the chosen location via API.
- The system maps the mood to a specific facial expression and the weather to a thematic atmosphere.
- It identifies unique city landmarks to generate a localized background scene.
- Using a reference image (cankaotu.png), the AI generates a character-consistent image reflecting all current variables.
- The image is saved locally or served to the user interface.
Weather Character Setup
To install and configure this skill for your Openclaw Skills environment, follow these steps:
# Install required dependencies
pip install requests schedule
# Execute the main skill logic
python weather_character.py
# Enable the daily automation scheduler (set for 7:30 AM)
python scheduler.py
Weather Character Data Schema & Taxonomy
The skill manages its generation logic and assets using a structured file approach:
| Component | Type | Description |
|---|---|---|
cankaotu.png |
Image Asset | The base reference image used to maintain character consistency across generations. |
weather_character.py |
Script | The core logic file handling API requests and image synthesis prompts. |
scheduler.py |
Script | A task runner that triggers the skill daily at 07:30. |
| City Registry | Metadata | A built-in list of 27 Chinese cities paired with unique landmark descriptors. |
Weather Character Advanced Features
- Custom Character Injection: Users can replace the default reference image with their own to completely change the generated character's identity.
- Automated Scheduling: Features a built-in scheduler to ensure your weather character is ready exactly when you wake up.
- Interactive Expression Mapping: Sophisticated logic that translates subjective user moods into specific visual AI prompts.
- Landmark Integration: High-fidelity scene generation that recognizes and includes landmarks from major urban centers.
SKILL.md
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