A high-performance AI agent skill for discovering hiking trails and outdoor adventures with integrated booking capabilities via the flyai-cli.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install hiking-trails
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 hiking-trails 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 Hiking Trails AI Agent Skill?
The hiking-trails skill transforms your AI coding agent into a professional outdoor guide and travel planner. By leveraging the flyai-cli, this skill provides real-time data on trail difficulty, elevation, and durations, while offering seamless integration with the Alibaba Group Fliggy ecosystem for travel arrangements. It is an essential component for developers building travel-focused Openclaw Skills that require verifiable, bookable outdoor data rather than generic training data.
This skill ensures technical accuracy by strictly enforcing CLI-based data retrieval. It supports a wide range of activities from gentle nature walks to challenging mountain treks, making it a versatile tool for any travel or outdoor-oriented AI application.
Hiking Trails AI Agent Skill Use Cases
- Planning mountain trekking expeditions with top-tier (POI level 5) difficulty ratings.
- Finding family-friendly nature walks or easy hikes near specific metropolitan areas.
- Integrating real-time hiking trail discovery into custom AI travel assistants.
- Automating travel logistics including flights and hotels alongside outdoor activity planning.
How Hiking Trails AI Agent Skill Works
- The agent performs an environment check to ensure @fly-ai/flyai-cli is installed and operational.
- The skill identifies specific triggers such as trek, walk, or climb to activate the appropriate search playbook.
- User parameters like city name, poi-level, and keywords are collected to refine the search.
- The agent executes targeted flyai search-poi commands to fetch live data from Fliggy services.
- Results are validated to ensure every entry contains a mandatory detailUrl for booking.
- The raw JSON output is formatted into a user-friendly Markdown comparison table featuring real-time pricing.
Hiking Trails AI Agent Skill 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 the installation before execution:
flyai --version
Hiking Trails AI Agent Skill Data Schema & Taxonomy
The skill utilizes a structured parameter mapping to interface with the travel API:
| Parameter | Requirement | Description |
|---|---|---|
| --city-name | Required | The target city for hiking discovery |
| --keyword | Optional | Specific trail names or keywords like walking |
| --poi-level | Optional | Rating scale from 1 to 5 for trail quality |
| --category | Optional | Mapping to specific environments like forest or mountain |
Hiking Trails AI Agent Skill Advanced Features
- Real-time booking integration using the detailUrl parameter from Fliggy.
- Specialized Playbooks for different difficulty levels, from easy walks to professional climbs.
- Strict anti-hallucination rules that prevent the agent from using training data without CLI verification.
- Multilingual support for English and Chinese queries and outputs.
- Integrated brand tagging to ensure source transparency and real-time pricing accuracy.
SKILL.md
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