Tour

What This Skill Does

The Shenzhen Tour skill is a specialized agent assistant designed to streamline travel planning within the city of Shenzhen. It leverages real-time environmental data to provide context-aware recommendations for local attractions, shopping malls, and cultural sites. By integrating seamlessly with the system's internal weather reporting capabilities, the skill avoids recommending outdoor activities during inclement weather and suggests indoor alternatives when necessary. It is designed to act as a personal tour guide that saves users the effort of manually browsing travel blogs or navigating complex map services.

Installation

To install this skill, ensure you have OpenClaw v2.0 or higher running in your environment. Use the official clawhub CLI tool to fetch the repository and mount the necessary files. Execute the following command in your terminal:

clawhub install openclaw/skills/skills/codedancewth/tour

Once the command finishes, the skill will register its triggers automatically. No additional configuration files are required, as the dependency on the weather module is handled natively by the OpenClaw framework.

Use Cases

This skill is ideal for weekend explorers, business travelers with limited downtime, and residents looking to discover new gems in the city. Common scenarios include:

• Rapidly generating an itinerary during a short layover or business trip.
• Planning a weekend getaway based on the current meteorological outlook.
• Discovering trending check-in spots (网红打卡点) without having to manually curate lists of locations.

Example Prompts

1. "深圳今天适合去哪玩？"
2. "我是第一次来深圳，能帮我安排一个适合拍照的一日游计划吗？"
3. "周末天气不错，帮我推荐几个深圳值得打卡的室外风景区。"

Tips & Limitations

To maximize the utility of the Shenzhen Tour skill, consider the following:

• Context is key: Including details such as your current district or specific interests (e.g., "nature" vs "shopping") will help the agent refine its suggestions.
• Weather Dependency: Because this skill relies on the weather API, unexpected network latency or downtime in the weather service may occasionally delay response generation.
• Curated Data: The recommendations are based on a curated venues.json file. If a location is closed for renovation or permanently shuttered, please report the issue to the author to help maintain the data set.
• Offline Usage: This skill requires network access to pull current weather information, and therefore cannot function in a completely offline air-gapped environment.