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Agent Skill · 研究检索

trip-guide-pdf-lodging(trip 指南 PDF lodging)

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。

trip-guide-pdf-lodging 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 33,544。

总安装 2,348周安装 95GitHub Stars 公开资料未说明下载 737核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

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。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install trip-guide-pdf-lodging;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

trip-guide-pdf-lodging 怎么安装?

在终端执行 openclaw skills install trip-guide-pdf-lodging。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

trip-guide-pdf-lodging 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

trip-guide-pdf-lodging 需要什么权限?

权限级别是需要联网。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。

trip-guide-pdf-lodging 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

trip-guide-pdf-lodging 用的人多吗?

公开数据是累计安装 2,348 次,近一周安装 95 次,下载 737 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

trip-guide-pdf-lodging 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
trip-guide-pdf-lodging

trip 指南 PDF lodging · 本页

2,348—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

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

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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