An automated browser-based agent that scrapes and analyzes sunset vividness and air quality data for specific locations and dates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install sunsetbot-watch
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 sunsetbot-watch 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 Sunsetbot Watch?
Sunsetbot Watch is a specialized automation tool designed for photography enthusiasts and nature lovers. By leveraging agent-browser technology, this skill navigates the sunsetbot.top platform to retrieve precise data regarding sunset vividness and aerosol optical depth (AOD). It eliminates the need for manual searching by automatically parsing complex web elements to deliver a clean, readable forecast.
As part of the Openclaw Skills ecosystem, this tool provides a structured way to interact with meteorological data. It translates raw numerical values into human-readable descriptions, such as whether a sunset will be a "major burn" or if atmospheric haze will affect visibility, making it an essential companion for planning outdoor shoots or evening activities.
Sunsetbot Watch Use Cases
- Photographers checking the probability of a "burning cloud" effect for golden hour shoots.
- Travelers planning evening sightseeing based on atmospheric transparency and color intensity.
- Automated weather reporting bots that need to include aesthetic sky quality metrics.
- Daily air quality monitoring specifically focused on aerosol levels and haze impact.
How Sunsetbot Watch Works
- The agent receives a city name and target date from the user.
- It utilizes agent-browser to navigate to the detailed sunsetbot tracking page.
- The skill automatically clears previous search parameters and inputs a formatted query string (e.g., City, Date, Type).
- It triggers the search and waits for the dynamic map and data overlays to load.
- The agent extracts raw numerical values for Vividness and Aerosol (AOD) from the page text.
- Finally, it maps these values to a predefined intensity scale and outputs a formatted summary with a conclusion.
Sunsetbot Watch Setup
To use Sunsetbot Watch within the Openclaw Skills framework, ensure your environment is configured for browser-based agents.
# Ensure the agent-browser dependency is available
pip install agent-browser
# Configure your Openclaw agent to recognize the sunsetbot-watch skill folder
# No additional scripts are required as the logic is handled via the browser agent
Sunsetbot Watch Data Schema & Taxonomy
The skill processes inputs and generates structured summaries based on the following classification tables:
Vividness (Burning Degree)
| Value Range | Description |
|---|---|
| Value = 0 | No burn forecast |
| 0 < Value < 0.1 | Minimal burn/None |
| 0.1 ≤ Value < 0.3 | Light burn/Average probability |
| 0.3 ≤ Value < 0.6 | Moderate burn/Good probability |
| Value ≥ 0.6 | Heavy burn/High probability |
Aerosol (AOD) Quality
| Value | Sky Description |
|---|---|
| < 0.4 | Transparent/Excellent quality |
| 0.4 - 0.8 | Average/Standard quality |
| > 0.8 | Turbid/Hazy conditions |
Sunsetbot Watch Advanced Features
- Smart date handling: Defaults to the current date if no specific date is provided by the user.
- Automated query formatting: Converts simple city names into complex search strings required by the target database.
- Multi-metric analysis: Simultaneously evaluates both aesthetic (vividness) and technical (aerosol) data for a holistic view.
- Integration ready: Can be hooked into messaging platforms to provide daily morning alerts for the evening forecast.
SKILL.md
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