A professional travel planning skill that generates lodging-anchored itineraries with verified route data and high-fidelity HTML or PDF exports.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install trip-guide-pdf-lodging
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install trip-guide-pdf-lodging 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 Trip Guide PDF Lodging?
Trip Guide PDF Lodging is a sophisticated tool within the Openclaw Skills ecosystem designed to build travel guides from the ground up, using the nightly lodging as the primary anchor. Unlike standard itinerary tools, this skill ensures that every aspect of the trip—from driving times to meal windows—is calculated based on where the user sleeps, ensuring logistical feasibility and realistic transit times.
This skill is engineered for developers and power users who require technical precision in their travel planning. It separates hard data like toll costs and opening hours from soft signals like noise risk and dining atmosphere, ensuring a professional output. Whether managing a hotel swap due to price spikes or designing a multi-night self-drive tour, this skill provides the structure needed for reliable travel documentation.
Trip Guide PDF Lodging Use Cases
- Planning complex multi-day trips where lodging serves as the nightly base for all activities.
- Automating the revision of travel itineraries when a specific hotel becomes sold out or too expensive.
- Generating formal travel guides in PDF format for clients or group travel stakeholders.
- Performing data-backed comparisons between different lodging strategies, such as town-center convenience versus scenic proximity.
How Trip Guide PDF Lodging Works
- Lock the planning frame by extracting trip length, departure city, trip style, and user preference weights.
- Determine the lodging strategy first, identifying whether a single hotel or multi-hotel approach is optimal for the route.
- Source data by separating hard numbers from map services and soft signals from review platforms.
- Verify all critical data points, including driving distances, scenic spot entry times, and hotel contact information.
- Design the daily itinerary around the lodging anchor, calculating specific windows for arrival, check-in, and meals.
- Generate an initial HTML draft containing the route overview, lodging sections, and contingency notes.
- Execute a mandatory QA gate check to ensure route consistency and feasibility before final delivery.
- Export the guide as a versioned PDF or HTML file for easy sharing and reference.
Trip Guide PDF Lodging Setup
To utilize this skill, ensure your agent has access to the Openclaw Skills framework and the necessary reference files. You can trigger the planning process by providing a set of constraints through your terminal.
# Example of initiating a lodging-anchored travel plan
openclaw run trip-guide-pdf-lodging --input '{"trip_style": "self-drive", "budget": "premium"}'
Ensure that the references directory contains the required source-selection and qa-checklist markdown files to enable full verification logic.
Trip Guide PDF Lodging Data Schema & Taxonomy
The skill organizes travel information into a clear taxonomy to ensure accuracy and professionalism throughout the document.
| Data Category | Content Type | Examples |
|---|---|---|
| Hard Data | Verified technical facts | Driving distances, toll fees, hotel addresses, opening hours |
| Soft Signal | Qualitative research | Noise risks, renovation quality, convenience impressions |
| Lodging Anchor | Logistical base | Check-in buffers, parking requirements, breakfast timing |
| Evidence | Visual support | Scenic proof images, restaurant listing snippets, hotel notes |
Trip Guide PDF Lodging Advanced Features
- Dynamic Leg Recomputation: Automatically recalculates all dependent travel legs if a lodging choice is modified.
- Multi-Source Integration: Leverages specialized review sites and map APIs to ensure high-fidelity data sourcing.
- Evidence-Based Documentation: Integrates screenshots only when they serve as material proof for a recommendation.
- Scenario-Specific Versioning: Supports non-destructive file naming for various iterations like hotel swaps or budget revisions.
- Formal Copy Engine: Defaults to compact, professional language suitable for formal guidebooks.
SKILL.md
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