A specialized skill for AI agents to query detailed historical weather records including temperature, wind, and air quality for specific cities and dates.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install weather2
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 weather2 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 Historical Weather AI Agent Skill?
This skill provides a robust interface for AI agents to access the Jisu Weather2 database, offering historical weather insights for various cities. By leveraging this tool within the framework of Openclaw Skills, agents can retrieve specific data points such as high and low temperatures, humidity, wind speed, atmospheric pressure, and the Air Quality Index (AQI) for any given date in the past.
Whether you are building a research assistant or a logistics optimization tool, this skill bridges the gap between AI reasoning and factual historical climate data. It utilizes the professional JisuAPI platform to ensure high data reliability and comprehensive coverage of urban weather history.
Historical Weather AI Agent Skill Use Cases
- Responding to user inquiries about specific weather conditions on past dates.
- Conducting historical climate analysis for specific geographic regions.
- Auditing past weather events for insurance or logistics verification.
- Comparing seasonal weather trends across multiple years for a single city.
How Historical Weather AI Agent Skill Works
- The AI agent receives a request containing a location and a specific date.
- The skill identifies the city name or looks up the city ID using the internal city list command.
- A request is sent to the Jisu Weather2 API using the configured API key.
- The API returns a structured JSON object containing atmospheric details for that specific date.
- The agent parses the result to provide a natural language response to the user.
Historical Weather AI Agent Skill Setup
To get started with these Openclaw Skills, follow these steps:
- Register an account at the JisuAPI official website (jisuapi.com).
- Apply for the Historical Weather API and retrieve your AppKey from the member center.
- Configure your environment variable as shown below:
# Linux / macOS
export JISU_API_KEY="your_appkey_here"
# Windows PowerShell
$env:JISU_API_KEY="your_appkey_here"
- Ensure Python 3 is installed to run the skill script located at
skills/weather2/weather2.py.
Historical Weather AI Agent Skill Data Schema & Taxonomy
The skill returns structured weather data for the requested city and date. Below are the key data points included in the response:
| Parameter | Type | Description |
|---|---|---|
| cityname | String | The name of the queried city |
| date | String | The date of the record (YYYY-MM-DD) |
| weather | String | Descriptive weather condition (e.g., Sunny) |
| temphigh / templow | String | Maximum and minimum temperatures recorded |
| humidity | String | Percentage of humidity |
| pressure | String | Atmospheric pressure in hPa |
| aqi | String | Air Quality Index value |
| windspeed / windpower | String | Details regarding wind conditions |
Historical Weather AI Agent Skill Advanced Features
- Dual-mode querying supporting both natural city names and standardized city IDs.
- Automated city list retrieval to assist agents in finding the correct location identifiers.
- Seamless integration with the broader Openclaw Skills ecosystem for multi-agent workflows.
- Detailed error handling for invalid dates, missing cities, or API quota limits.
SKILL.md
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