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travel-guide-test旅游导游考试

Agent Skill

用于辅助测试设计、自动化测试、用例整理和回归验证。它适合让 Agent 编写单元测试、端到端测试、测试计划或根据失败日志定位问题。使用时需要确认项目测试框架、运行命令和夹具数据,避免为了通过测试而改坏真实逻辑;涉及浏览器或外部服务时,应区分本地模拟、测试环境和生产环境。

总安装

2,277

周安装

93

GitHub Stars

公开资料未说明

下载量

737
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:travel-guide-test(旅游导游考试)
来源仓库:https://github.com/cianweeresinghe-sudo/travel-guide-test
安装命令:
openclaw skills install travel-guide-test
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 travel-guide-test

简介

将旅行规划转化为部署至 Cloudflare Pages 的静态网页端到端工具。

  • 适合需要可视化展示旅行方案或测试前端交互的用户。
  • 使用方式:结合旅行参数生成并部署可访问的指南页面。
  • 需区分测试环境与生产环境的数据隔离。travel-guide-test 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 安装前应确认项目框架与构建命令兼容性。

SKILL.md

name
travel-guide-pages
description
Plan trips end-to-end and turn them into polished static travel-guide webpages deployed to Cloudflare Pages. Use when a user wants help deciding where to go, comparing route/base options, shaping an itinerary around interests and constraints, choosing hotels and activities, building a visual travel guide, adding route maps or booking checklists, or publishing the result as a live Cloudflare Pages microsite.

Travel Guide Pages

Build a useful trip first, then build the webpage.

Core approach

Follow this sequence:

  1. Discover the travellers, constraints, and vibe.
  2. Decide the route logic before writing a day-by-day itinerary.
  3. Build a realistic itinerary with energy management.
  4. Add hotels, activities, transport legs, and booking urgency.
  5. Turn the plan into a skimmable, image-led static webpage.
  6. Deploy to Cloudflare Pages.

Do not jump straight to “top things to do”. Do not optimise for maximum attractions. Optimise for fit, flow, energy, and clarity.

Discovery checklist

Before proposing an itinerary, gather or confirm:

  • destination(s)
  • trip length
  • who is going
  • ages if relevant
  • whether they have been before
  • interests
  • explicit dislikes / hard nos
  • budget level
  • pace preference: slow / packed / balanced
  • style preference: practical / premium / adventurous / relaxing / design-led / traveller-friendly
  • willingness to drive
  • luggage or mobility constraints
  • likely airports / rail / car usage

If details are missing, ask only the highest-value questions first.

Family / mixed-age optimisation branch

If the trip includes children, teens, mixed generations, or a group with clearly different energy levels, ask a more specific second layer:

  • ages of each traveller
  • interests by person, not just for the group overall
  • any hard no's by person
  • food pickiness / flexibility
  • sleep, nap, jet lag, or bedtime constraints
  • stamina / walking tolerance / motion sickness / transport tolerance
  • rooming needs (e.g. one room vs two rooms, sofa bed vs separate beds, privacy needs)
  • what the adults also want from the trip so the plan does not become child logistics only

Ask about gender only when it would materially affect rooming, privacy, safety, or comfort decisions. Do not ask for personal details that do not change the plan.

Route logic

Work out the structure before the days.

Always determine:

  • number of bases
  • best order of places
  • whether the route should be rail, road, air, or mixed-mode
  • where rental car pickup happens
  • where rental car return happens
  • where mixed-mode handoffs happen

For mixed-mode travel, label legs explicitly. Examples:

  • Train + car pickup
  • Scenic drive
  • Drive to rail gateway + train into city

Do not collapse mixed-mode travel into vague one-line labels. If a leg uses two modes, show both.

Itinerary design rules

Design for humans, not robots.

Account for:

  • arrival fatigue / jet lag
  • group pacing / energy differences
  • sensory overload
  • realistic travel times
  • recovery after big days
  • flexibility for weather and mood
  • rooming and sleep practicality when relevant

Use an energy curve:

  • stimulating days
  • slower reset days
  • headline days
  • transition days
  • flexible buffer days

Common helpful pattern:

  • arrival/reset day
  • lighter recovery day after long travel if needed
  • major highlight day once people are functioning well
  • calmer or flexible day after a big one

Recommendations structure

For each base/segment, provide:

Why stay here

Explain what this base adds to the trip and why it suits the travellers.

What to do

Recommend only high-fit activities. For each one include:

  • why it fits
  • rough travel time
  • whether it is essential / optional / weather-dependent
  • whether it is half-day or full-day
  • booking urgency if relevant

Where to stay

Provide a short practical shortlist, ideally:

  • best practical option
  • best stylish option
  • best upgrade option (if relevant)

Explain the hotel logic:

  • space / room fit
  • location convenience
  • scenery
  • transport access
  • vibe

Transport logic

Be explicit about:

  • train start/end points
  • car pickup location
  • car return location
  • rail handoff point
  • what each leg is actually doing

Day-by-day output

Create a realistic day-by-day plan. For each day include:

  • day title
  • location/theme
  • key plan
  • travel mode/time if relevant
  • effort/energy level when useful
  • whether it is a highlight / reset / transition / flex day

Keep it concise and skimmable.

Traveller profiles and reusable preferences

Support reusable traveller profiles when helpful.

Default to a shared profile for the main travelling unit:

  • individual
  • couple
  • family
  • recurring friend group
  • recurring multi-generational group

Use individual subprofiles only when useful or explicitly requested. A shared group profile should be the default; per-person profiles are optional layers, not mandatory dossiers.

The skill may:

  • create a primary group profile
  • create optional traveller-specific subprofiles when they materially affect planning
  • reuse an existing profile for future travel planning
  • update the profile after a trip or after the user clarifies a preference

Only store durable travel-planning preferences, such as:

  • trip pace
  • budget style
  • hotel preferences
  • transport tolerance
  • rooming preferences
  • food preferences
  • activity preferences
  • hard no's
  • destination preferences
  • children’s ages/interests when relevant to future planning
  • traveller-specific constraints only when they materially affect planning

Good pattern:

  • primary family/couple/group profile for shared defaults
  • optional subprofile for notable exceptions, e.g. motion sickness, food restrictions, very different activity tolerance, or strong preferences

Do not treat the profile as a dossier. Do not store unnecessary sensitive or irrelevant personal details. Store only information that improves future travel recommendations.

When saving or updating profile information, follow the environment’s consent and memory rules. If profile information is uncertain, summarise it as a tentative preference rather than a hard fact.

When a returning traveller or group is involved, check whether a profile already exists before re-asking basic planning questions. Reuse what is durable, then ask only for what has changed.

Planning extras

Always include:

Book in advance

Split into:

  • must book early
  • can book later
  • flexible / low urgency

Weather / packing

Keep practical and brief.

Travel tips / hacks

Include only useful tips:

  • booking strategy
  • luggage strategy
  • local transport logic
  • timing / crowd avoidance
  • family pacing

Avoid social-media fluff unless it is genuinely helpful.

Webpage requirements

Build a static HTML/CSS page suitable for Cloudflare Pages.

Style goals:

  • premium travel editorial
  • clean, skimmable, uncluttered
  • image-led
  • useful before clever

Suggested sections:

  • cover / hero
  • trip overview
  • route summary
  • route map + leg links
  • day-by-day itinerary
  • visual galleries by place
  • hotel suggestions
  • transport logic
  • booking checklist
  • final summary

Writing rules for the page

The page must be user-facing only. Do not include:

  • “this version...”
  • process commentary
  • defensive caveats
  • workshop notes
  • tool chatter

Write like a polished guide, not a development log.

Image rules

Prefer correctness over generic mood shots.

Good order of preference:

  1. exact place-matched images
  2. source pages with usable og:image
  3. official tourism / venue pages
  4. Wikimedia Commons
  5. stable generic mood imagery only when clearly labeled as general atmosphere

If the page names a specific place, do not use obviously unrelated visuals.

When image sourcing is messy:

  • use fewer stronger images
  • use source-page share images when available
  • make gallery cards clickable to the source page
  • host assets locally when reliability matters

Maps and leg links

Include a route summary visual where possible. Also include leg-by-leg links.

For each leg, ensure:

  • the origin is correct
  • the destination is correct
  • the travel mode matches reality

Examples:

  • transit for rail legs
  • driving for car legs
  • separate links for mixed-mode handoffs

Confidence gate before page build

Do not build or deploy the Cloudflare Pages site too early. Only move into page creation once the itinerary is stable enough that major structural changes are unlikely.

Minimum confidence before page build:

  • route order is agreed or strongly recommended and accepted
  • number of bases is settled
  • core transport logic is settled
  • major activity choices are reasonably locked
  • hotel shortlist is directionally right
  • the user is no longer still deciding the basic shape of the trip

If confidence is still low:

  • stay in planning mode
  • keep refining route, pacing, and activities
  • summarise open decisions clearly
  • avoid premature page production that will just cause churn

Once confidence is high enough:

  • build the webpage
  • treat the page as a packaging/output step, not as the discovery step itself

Cloudflare Pages deployment

After building the static page:

  1. make sure assets are local or stable
  2. create the Pages project if needed
  3. deploy the static folder
  4. return the live deploy URL and stable Pages URL

If Cloudflare auth is missing, ask for the minimum token/account/project info needed.

Quality bar

A good result should be:

  • genuinely useful
  • visually coherent
  • easy to skim in under 5 minutes
  • internally consistent about route and transport
  • tailored to the travellers

If tradeoffs exist, prefer:

  • correct route logic over pretty simplifications
  • exact imagery over generic filler
  • traveller fit over attraction maximisation
  • group harmony and energy management over trying to “do everything”

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

按任务关键词查找相关 Skills

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

OpenClaw

93.62%
按下载量换算690

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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。

来源信息

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