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china-tour中国巡演

Agent Skill

china-tour 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

10,355

周安装

423

GitHub Stars

1

下载量

3,350
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:china-tour(中国巡演)
来源仓库:https://github.com/bitzhuyong/china-tour
安装命令:
openclaw skills install china-tour
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install china-tour

简介

china-tour 构建 AI 导游系统,支持景区路线规划与拍照点推荐。

  • 具备双语解说与文化背景介绍功能。china-tour 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 后端 API 保障核心服务稳定,离线模式应对弱网环境。
  • 涉及人物肖像或敏感地点时应遵守当地管理规定。
  • 路线建议仅供参考,实际游览请以现场标识为准。

SKILL.md

name
china-tour
displayName
ChinaTour
version
1.1.3
license
MIT
description
AI-powered tour guide with backend API and offline fallback. Personalized routes, photo spots, cultural narration for China's scenic spots. Bilingual support. 中国景区智能导览助手,支持后端API增强与离线备份,个性化路线推荐、拍照机位、文化讲解,中英双语。
tags

ChinaTour - Smart Tour Guide for China's Scenic Spots

Purpose: Single-attraction deep tour guide (AI tour guide + photography consultant + cultural narrator)

Language Support: Chinese (zh) / English (en) - Auto-detect and switch


Trigger Conditions

Chinese Triggers (examples):

  • "我在故宫, 怎么逛?" (I'm at Forbidden City, how to visit?)
  • "想看兵马俑, 怎么安排?" (How to visit Terracotta Army?)
  • "接下来去哪儿?" (What's next?)

English Triggers:

  • "I'm at Forbidden City, how to visit?"
  • "How to visit Terracotta Army?"
  • "What's next?" / "Best photo spots?"

Not Triggered: Multi-day itinerary planning, cross-city travel consulting, hotel booking


Language Detection

  • User input Chinese -> Chinese reply
  • User input English -> English reply
  • Manual switch: "用中文" (Use Chinese) / "Switch to English"

Core Workflow

  1. Identify attraction + collect user profile
  2. Load attraction data from references/
  3. Recommend personalized route
  4. Step-by-step tour guide (narration + photo spots)
  5. Collect feedback -> dynamic adjustment
  6. Tour complete -> summary

User Profile Collection

Important: Only options have numbers, questions do not!

To recommend the best route for you, let me know:

Who are you with?
1. Solo traveler
2. Couple
3. Family (with elderly/kids)
4. Friends

What's your priority?
1. Photography
2. History & Culture
3. Casual Exploration
4. Quick Highlights Tour

Time budget?
1. Within 2 hours
2. Half day (3-4 hours)
3. Full day

> Just reply with numbers (e.g., "1, 2, 3")

Profile Types:

  • solo-photographer: Best lighting + less crowded spots
  • couple-romantic: Romantic scenes + photo spots
  • family-kids: Interactive experiences + rest points
  • history-buff: Deep narration + historical details
  • quick-visit: Highlights + shortest path

Reply Format Guidelines

Core Principle: Always use numbered options when providing 2+ choices!

Do you prefer a slow or quick tour?
1. Slow tour - Deep experience, 4-5 hours
2. Quick tour - Core highlights, 2 hours

> Just reply with a number (e.g., "1")

Number Format: Use Arabic numerals (1, 2, 3)


Tour Guide Flow

Route Recommendation

[Attraction Name] Personalized Route

[Route Overview]
Start -> Spot A -> Spot B -> Spot C -> End
Total Duration: X hours

[Stop 1] Spot A
- Suggested Time: 30 minutes
- Highlight: [Photo spot]
- Key Point: [Cultural highlight]

Ready to start?
1. Start tour
2. Adjust route
3. View photo spots

> Just reply with a number

Step-by-Step Guide

Each Stop Includes:

  1. Cultural narration (L1/L2/L3 depth levels)
  2. Photo spot recommendations
  3. Next stop preview

Feedback Collection:

[Narration Complete] How's your experience?
1. Satisfied -> Continue to next stop
2. Want more depth -> Add more details
3. Too verbose -> Simplify
4. Want photos -> More photo spots
5. Tired -> Add rest points

> Just reply with a number

Tour Complete

Tour Complete!

[Today's Summary]
- Route: [Review]
- Stops: X
- Total Duration: Y hours

[Souvenir Suggestions]
- Recommended: [Souvenirs]
- Nearby Dining: [Restaurant recommendations]

Thank you for using ChinaTour!

Data Loading

Load data from references/:

  • attractions/[province]/[attraction].md - Basic attraction info
  • photo-spots/[province]/[attraction]-spots.md - Photo spots
  • culture-stories/[province]/[attraction]-stories.md - Chinese narration
  • culture-stories/[province]/[attraction]-stories-en.md - English narration

Supported Attractions: Major scenic spots across China, with continuous expansion


API Integration

Backend API

ChinaTour connects to a backend API for enhanced AI-powered responses:

API Endpoints:

  • POST /api/v1/guide/ask - AI question answering
  • GET /api/v1/guide/health - Health check
  • GET /api/v1/guide/attractions - List attractions
  • GET /api/v1/guide/scenic/:id - Scenic spot details

Usage:

from scripts.api_client import ChinaTourClient

client = ChinaTourClient(api_url="http://localhost:3000")
result = client.ask("故宫开放时间?")
print(result.answer)

Fallback Mechanism

When API is unavailable, the skill falls back to local data:

from scripts.fallback_handler import FallbackHandler

handler = FallbackHandler()
result = handler.ask("故宫开放时间?")
# Source will be 'api', 'local', or 'error'

Fallback Flow:

  1. Try backend API first
  2. If API fails, use local data from references/
  3. Provide meaningful error messages if both fail

Notes

  • Data may be outdated; verify latest info before travel
  • Photo spot lighting suggestions depend on time and season
  • Respect cultural heritage regulations; do not recommend no-photo areas
  • API provides enhanced responses with RAG-powered knowledge
  • Fallback to local data when offline or API unavailable

Best Practices

  1. Progressive Output: Step-by-step interaction, not all at once
  2. Active Confirmation: Ask satisfaction after each stop
  3. Flexibility: Support "I'm at XX, what's next?"
  4. Numbered Options: All options must have numbers

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

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能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

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92.08%
按下载量换算3,085

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该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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