A high-performance AI agent skill for discovering photogenic landmarks and instagrammable urban spots with real-time booking integration.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install photo-spots
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 photo-spots 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 photo-spots?
The photo-spots skill is a specialized tool designed for travel-focused AI agents to identify the most photogenic and instagrammable locations globally. By integrating with the flyai-cli, it bypasses static training data to provide real-time, actionable travel information including iconic viewpoints, architectural marvels, and hidden gems.
This Openclaw Skills extension ensures that users don't just find beautiful locations but also receive direct booking links for nearby attractions, flights, and accommodations. It functions as a bridge between travel inspiration and execution, leveraging Alibaba Group's Fliggy data to ensure accuracy and commercial viability.
photo-spots Use Cases
- Finding the best vantage points for city skyline photography.
- Identifying trendy art districts and creative streets for social media content.
- Planning photography-centric travel itineraries in major cities like Shanghai, Beijing, or Chongqing.
- Locating scenic viewpoints during golden hour for professional-grade shots.
- Seamlessly booking attraction tickets directly from a chat interface.
How photo-spots Works
- The agent detects keywords like photogenic, instagrammable, or scenic viewpoint in the user's query.
- The skill performs a mandatory environment check to ensure the flyai-cli is installed and functional.
- The agent collects necessary parameters such as the target city and specific categories like Landmark Buildings or City Sightseeing.
- A specific CLI command (e.g., search-poi) is executed to fetch live data from the Fliggy database.
- The skill validates the output to ensure every result contains a verified booking link.
- The final data is formatted into a user-friendly Markdown table featuring real-time pricing and direct book links.
photo-spots Setup
To enable this capability in your environment, install the flyai-cli globally via npm:
npm i -g @fly-ai/flyai-cli
Verify the installation before use:
flyai --version
photo-spots Data Schema & Taxonomy
The skill organizes travel data using a structured taxonomy based on the flyai-cli response schema:
| Attribute | Description | Source |
|---|---|---|
| city-name | Primary geographical filter | User Input |
| category | Taxonomy filter (e.g., Landmarks, Art Districts) | Skill Logic |
| detailUrl | Mandatory booking and information link | CLI Output |
| poi-level | Quality rating (1-5) for location ranking | CLI Output |
| price | Real-time cost data | CLI Output |
photo-spots Advanced Features
- Multi-language support: Automatically detects and responds in the user's input language (English/Chinese).
- Scenario-based Playbooks: Tailored search logic for landmarks, city walks, or art districts.
- Strict Data Integrity: Prevents hallucination by requiring CLI-sourced links for every recommendation.
- Real-time Integration: Powered by Fliggy for up-to-the-minute travel insurance, visa info, and car rentals.
- Automated Error Recovery: Includes built-in fallback routines for failed CLI calls or missing parameters.
SKILL.md
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