AI Agent Hub
Back to skills
Weather Query Assistant icon

Weather Query Assistant

Life Service Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Follow the guide at https://skillhub.cn/install/skillhub.md to install @user_d9f81626/sk1.

About this skill

Problem

City weather, temperature, rain, and clothing advice are often scattered across pages, apps, and chats. Engineers need stable fields, not ad-heavy results. This skill compresses common life-service queries into a parsable return set: current temperature, felt temperature, conditions, wind, and clothing tips. It is useful for scripts, chatbots, or lightweight dashboards that need quick values.

How It Works

When input matches intents such as "weather in a city", "how many degrees", or "will it rain", the skill calls a web search tool, extracts information from live weather sources, and returns a fixed order. Core capabilities include:
- Intent detection: locate the city name and weather intent
- Field extraction: return current and felt temperatures
- Condition mapping: provide sunny, cloudy, rainy, and similar states
- Wind summary: provide wind strength and direction
- Advice generation: output simple clothing suggestions

Limits

This skill targets lightweight current-weather queries, not long-range forecasts, minute-level precipitation, air quality, or hazard alerts. Results may be incomplete when city names are ambiguous, multilingual names conflict, or live sources are unavailable. For automated pipelines, keep city and fallback fields so a single query is not treated as authoritative meteorological data.

Use Cases

  • Handle 'will it rain in Beijing today' and return conditions, temperature, and clothing advice.
  • Build a city-service chatbot and convert weather questions into structured field answers.
  • Check local weather for a field route, then use wind and rain status to brief crews.
  • Add weather answers to customer support by summarizing temperature, wind, and clothing tips.

Best For

  • Backend engineers for lifestyle chatbots who map weather intents to structured fields.
  • Assistant engineers who need quick city weather and clothing advice.
  • Operations staff for field dispatch who need rain and wind reminders by city.
  • Tool-chain developers validating live web-search extraction with weather queries.