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trip-guide-pdf-lodgingtrip 指南 PDF lodging

Agent Skill

trip-guide-pdf-lodging 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

2,348

周安装

95

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:trip-guide-pdf-lodging(trip 指南 PDF lodging)
来源仓库:https://github.com/allensu0314/trip-guide-pdf-lodging
安装命令:
openclaw skills install trip-guide-pdf-lodging
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 trip-guide-pdf-lodging

简介

用于查找、检索和筛选相关信息,支持以住宿为中心的旅行指南生成。

  • 适合在 OpenClaw 中需要酒店选择、路线数据和后备方案时使用。
  • 通过 clawhub 安装,结合原始 README 可进一步了解具体用法和交互方式。
  • 安装前需确认权限范围、维护状态,注意是否涉及联网或数据访问操作。
  • trip-guide-pdf-lodging 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
trip-guide-pdf-lodging
description
Research, plan, revise, and deliver lodging-anchored travel guides as HTML/PDF with verified route data, hotel selection, fallback hotel swaps, curated screenshots, and formal copy. Use when a trip includes hotels, inns, guesthouses, resorts, multi-night stays, or when the user asks to make or revise an itinerary after a hotel changes, sells out, or becomes too expensive.

Trip Guide PDF Lodging

Build the guide in HTML first. Export PDF only after route logic, lodging choice, and screenshots are stable.

Treat the hotel or lodging as the nightly anchor. Design each day around where the user sleeps, not around scenic spots alone.

Core rules

  1. Verify every hard number before writing it.
  2. Separate hard data from soft signal.

- Hard data: driving time, distance, tolls, hotel address, phone, opening hours, scenic latest entry. - Soft signal: renovation quality, noise risk, dining feel, queue risk, convenience impressions.

  1. If lodging changes, recompute all dependent legs instead of text-replacing the hotel name.
  2. Keep screenshots sparse and purposeful.
  3. Use formal, compact copy unless the user explicitly wants casual tone.

Workflow

1) Lock the planning frame

Extract:

  • dates / trip length
  • departure city
  • trip style: self-drive, hiking, family, solo, etc.
  • preference weights: scenery, comfort, food, crowd avoidance, budget
  • output target: quick answer or polished HTML/PDF

If the user already gave enough constraints, start researching immediately.

2) Choose the lodging strategy first

Before writing the day plan, determine:

  • single hotel vs multi-hotel
  • town-center convenience vs scenic proximity
  • parking requirement
  • breakfast requirement if it changes departure time
  • fallback lodging in case of sellout or price spike

The day plan should follow the lodging choice, not the other way around.

3) Choose sources by job

Read references/source-selection.md when deciding what to trust.

Default split:

  • maps / official scenic pages / structured listings for hard numbers
  • review sites and social posts for soft signal
  • if Chinese travel/review sites are involved and normal search/fetch is weak, use cn-review-sites-cdp

4) Verify hard data before drafting

Check the numbers that decide feasibility:

  • origin → lodging
  • lodging → main scenic spot
  • lodging → secondary scenic spot
  • lodging → dinner / breakfast anchors when they matter in the final guide
  • scenic opening hours / latest entry
  • hotel phone / rating / address if shown

Re-run this step after every lodging change.

5) Design the itinerary from the lodging anchor

For each day, choose the nightly lodging first, then build:

  • arrival window
  • check-in / rest buffer
  • meal window
  • scenic entry window
  • return buffer
  • holiday congestion buffer

If the hotel moves from old town to new town, update the walking radius and dinner logic. Do not assume Day 1 still works unchanged.

6) Draft HTML first

Good structure:

  • cover / conclusion box
  • route overview
  • day-by-day plan
  • lodging section
  • dining section
  • risk notes / contingency

The top conclusion should tell the user:

  • which lodging won
  • why it won
  • what fallback exists
  • what tradeoff changed after the lodging decision

7) Use screenshots as evidence, not decoration

Keep only screenshots that support a decision:

  • scenic proof image
  • hotel listing / hotel note if it materially affects the recommendation
  • restaurant listing snippet if it justifies a recommendation

Reject screenshots that are blank, QR-heavy, cluttered, or mostly irrelevant UI.

8) Run the QA gate before PDF export

Read references/qa-checklist.md and clear it.

Minimum gate:

  • route numbers consistent with latest lodging choice
  • time logic feasible
  • screenshots clean
  • tone formal enough
  • filenames and variant names clear

9) Deliver and version clearly

Prefer scenario-specific filenames over destructive overwrites.

Examples:

  • *_final.html
  • *_revision.html
  • *_hotel-swap.html
  • *_quanji.html

When sending local files through OpenClaw messaging, prefer relative MEDIA:./... paths instead of absolute MEDIA:/abs/path paths.

Revision logic

  • Visual-only feedback: rework screenshots, typography, and tone.
  • Hotel change: recompute every dependent leg and rewrite the daily structure affected by that hotel.
  • Budget pressure: rerank hotels and surface tradeoffs explicitly.
  • Feasibility issue: re-verify with maps / official sources and rebuild affected days.

Read these references when needed

  • references/source-selection.md — which source to trust for which data type
  • references/qa-checklist.md — pre-export checklist for lodging-based guides

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

77.38%
按下载量换算570

安全审计

VirusTotal

通过

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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