weather-skill-hangs-001

# Weather Skill ## Overview The Weather Skill provides weather information for a specified city. It is designed to help users quickly understand current weather conditions, including temperature and general climate status, especially for travel planning or daily decision-making. This skill can be integrated into conversational agents to respond to user queries related to weather conditions. --- ## Use Cases This skill is suitable for the following scenarios: * Checking weather conditions before traveling * Asking about temperature in a specific city * Getting quick climate information for daily planning * Supporting voice assistants or chatbots with weather responses --- ## When to Use Use this skill when: * The user asks about weather (e.g., "What's the weather in Beijing?") * The user requests temperature or climate details * The query involves outdoor planning or travel preparation --- ## Input The skill accepts the following input: * **city** (string): The name of the city to query weather for Example: ```json { "city": "Singapore" } ``` --- ## Output The skill returns a structured weather description: * **weather** (string): A human-readable description of the weather Example: ```json { "weather": "Sunny, 30°C" } ``` --- ## Example Scenarios ### Example 1 Input: ```json { "city": "Beijing" } ``` Output: ```json { "weather": "Sunny, 25°C" } ``` ### Example 2 Input: ```json { "city": "London" } ``` Output: ```json { "weather": "Cloudy, 18°C" } ``` --- ## How It Works This skill processes the input city name and returns a weather description. Currently, the output is simulated (mock data), but the structure is designed to support integration with real-world weather APIs such as OpenWeather or other meteorological services. --- ## Limitations * The current version does not fetch real-time data from external APIs * Weather responses are simulated * Only major cities are supported in this version --- ## Future Improvements * Integrate real-time weather APIs * Support more detailed weather data (humidity, wind, forecast) * Add multi-language support * Improve location recognition accuracy