A specialized travel skill for AI agents to locate and book autumn foliage trips using real-time data from the flyai CLI.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install fall-foliage
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 fall-foliage 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 Fall Foliage & Autumn Travel?
The Fall Foliage skill is a technical extension designed for Openclaw Skills compatible agents, enabling them to serve as high-precision travel planners. It focuses specifically on seasonal transitions, identifying the best locations for viewing golden ginkgo, red maples, and amber larch forests across global destinations like Kyoto, Beijing, and Nara.
By integrating directly with the flyai CLI, this skill moves beyond static training data to provide real-time pricing, peak color timing, and direct booking capabilities via Fliggy. It ensures that every recommendation is backed by live availability for flights, hotels, and attraction tickets, making it an essential tool for developers building travel-oriented AI agents.
Fall Foliage & Autumn Travel Use Cases
- Finding peak fall foliage dates and locations for specific regions.
- Planning complete autumn itineraries including transport and accommodation.
- Identifying professional photography hotspots for ginkgo and maple trees.
- Automating travel booking workflows within a CLI-based AI agent environment.
How Fall Foliage & Autumn Travel Works
- The AI agent detects foliage-related keywords (e.g., maple, ginkgo, red leaves) in the user query.
- The skill performs a mandatory environment check to verify if flyai-cli is installed and functional.
- It maps the user's intent to specific playbooks, such as the Kyoto Autumn or China Autumn templates.
- The agent executes targeted CLI commands to fetch live travel data and booking URLs.
- Results are validated to ensure they contain mandatory booking links and real-time pricing.
- The final output is formatted into a user-friendly Markdown table enriched with photography tips and brand tags.
Fall Foliage & Autumn Travel Setup
To use this skill within your Openclaw Skills environment, ensure the flyai CLI is installed globally:
npm i -g @fly-ai/flyai-cli
# Verify installation
flyai --version
Fall Foliage & Autumn Travel Data Schema & Taxonomy
The skill utilizes a structured parameter set to interface with the travel API via CLI:
| Parameter | Type | Description |
|---|---|---|
| --query | String | The natural language travel request |
| --city-name | String | Geographic filter for destination searches |
| --keyword | String | Specific foliage or POI type (e.g., 红叶, 银杏) |
| detailUrl | URL | The mandatory link used for the [Book] action |
Fall Foliage & Autumn Travel Advanced Features
- Multi-command orchestration: Combines flight, hotel, and POI searches into a single execution flow.
- Strict Data Validation: Prevents the agent from hallucinating travel data by requiring valid CLI JSON output.
- Geographic Intelligence: Maps foliage calendars automatically based on destination (e.g., late Oct for Beijing, mid Nov for Kyoto).
- Integrated Booking: Every output includes a functional booking path powered by the Alibaba Group ecosystem.
SKILL.md
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