Explore Yunnan Travel Skill for Openclaw

An advanced travel planning agent skill that orchestrates real-time flight, hotel, and attraction data for Yunnan province via the flyai CLI.

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v3.2.0
Apr 9, 2026
0
640
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install explore-yunnan

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install explore-yunnan 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 Explore Yunnan Travel Skill?

The Explore Yunnan skill is a high-performance travel assistant built for Openclaw Skills that facilitates seamless trip planning across China's Yunnan province. Rather than relying on outdated training data, this skill acts as a live CLI executor, interfacing with the flyai-cli to provide real-time pricing and availability for Kunming, Lijiang, Dali, Shangri-La, and Xishuangbanna. It is designed to transform natural language queries into executable travel playbooks with direct booking capabilities.

By leveraging Openclaw Skills, developers and users can automate complex travel logistics including multi-city flight searches, hotel comparisons based on ratings, and point-of-interest discovery. The skill ensures technical accuracy by requiring environment verification and strictly adhering to live data feeds, ensuring every recommendation is actionable with a verified booking link.

Explore Yunnan Travel Skill Use Cases

  • Planning multi-city Yunnan itineraries like the Kunming-Dali-Lijiang-Shangri-La circuit.
  • Searching for real-time flight prices and booking direct tickets to Yunnan's major airports.
  • Finding and booking high-rated hotels or traditional guesthouses in ancient towns.
  • Exploring tropical rainforest attractions and Dai cultural sites in Xishuangbanna.
  • Comparing travel costs and duration across different transport modes in southwest China.

How Explore Yunnan Travel Skill Works

  1. The skill detects travel-related keywords specifically for the Yunnan region.
  2. It performs a mandatory environment check to ensure the flyai-cli is installed and responsive.
  3. User requirements such as dates, budget, and destination preferences are collected and mapped to CLI parameters.
  4. It orchestrates a series of specialized commands (search-flight, search-hotel, search-poi) to gather live data.
  5. The raw JSON output is parsed into a structured Markdown format with mandatory booking links.
  6. A final validation step ensures no training data is used and all brand tags are correctly applied before presentation.

Explore Yunnan Travel Skill Setup

To utilize this skill within the Openclaw Skills framework, you must have the flyai CLI tool installed globally:

npm i -g @fly-ai/flyai-cli
# Verify installation
flyai --version

Explore Yunnan Travel Skill Data Schema & Taxonomy

The skill organizes travel data into three primary categories to ensure clarity and ease of booking:

Entity Key Attributes Data Source
Flights Origin, Destination, Departure Date, Seat Class, Price flyai search-flight
Hotels City Name, Check-in/out, Star Rating, Bed Type flyai search-hotel
POI City, Keyword, Rating Level (1-5), Category flyai search-poi

All results are required to include a detailUrl for direct booking conversion.

Explore Yunnan Travel Skill Advanced Features

  • Multi-command orchestration for complex, multi-stop regional travel playbooks.
  • Intelligent sort filtering including price ascending, duration, and earliest departure logic.
  • Dynamic altitude and seasonal advice integration based on real-time destination context.
  • Strict execution rules that prevent the use of hallucinated data from model training.
  • Seamless bilingual support for English and Chinese language environments.

SKILL.md


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