An AI agent skill designed to locate and book ultra-affordable, tech-forward capsule hotels and pod-style accommodations through real-time CLI data.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install capsule-pod-hotel
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 capsule-pod-hotel 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 Capsule Pod Hotel Finder?
The capsule-pod-hotel skill is a specialized tool for solo travelers, digital nomads, and budget-conscious users seeking minimal yet modern accommodation. By interfacing directly with the flyai-cli and Alibaba Group's Fliggy travel engine, this skill allows AI agents to bypass outdated training data and provide live inventory for sleep boxes, space pods, and capsule beds.
This skill is built for speed and efficiency, focusing on high-density urban areas and transit hubs where affordable housing is often difficult to find. By using Openclaw Skills architecture, it ensures that every recommendation is actionable, containing real-time pricing and verified booking links, making it an essential component for automated travel planning and itinerary management.
Capsule Pod Hotel Finder Use Cases
- Finding the cheapest available bed in high-cost cities like Tokyo, Shanghai, or London.
- Booking a last-minute sleep box near a train station or airport for a long layover.
- Planning a solo trip where tech-forward amenities (USB charging, private pods) are prioritized over traditional hotel services.
- Comparing real-time rates for capsule hotels across specific dates using automated search parameters.
How Capsule Pod Hotel Finder Works
- The AI agent detects travel-related keywords such as capsule, pod hotel, or sleep box within a user's prompt.
- The system performs a mandatory environment check to ensure the flyai-cli is installed and responsive.
- The skill extracts or requests necessary parameters from the user, including destination name, check-in dates, and specific sorting preferences.
- It executes the flyai search-hotel command with targeted keywords like 太空舱 (space pod) to filter for capsule-specific inventory.
- The skill processes the raw JSON output from the CLI, validating that every result includes a direct booking link.
- Finally, it generates a structured Markdown table for the user, sorted by the lowest price or closest distance as requested.
Capsule Pod Hotel Finder Setup
To enable this skill, you must install the flyai-cli globally using npm:
npm i -g @fly-ai/flyai-cli
Verify the installation before use:
flyai --version
Once installed, the AI agent will use this CLI to fetch live hotel data for Openclaw Skills users.
Capsule Pod Hotel Finder Data Schema & Taxonomy
The skill organizes hotel data using a strict schema to ensure compatibility with real-time booking engines. Key metadata include:
| Attribute | Description |
|---|---|
| dest-name | Destination city or area name used for geographic filtering. |
| check-in-date | The check-in date in YYYY-MM-DD format. |
| key-words | Search tags such as capsule, sleep box, or 太空舱 for precise results. |
| sort | Preference flags including price_asc, distance_asc, and rate_desc. |
| detailUrl | The validated URL required for booking via the Fliggy platform. |
Capsule Pod Hotel Finder Advanced Features
- Intelligent transit hub mapping: Automatically searches for pods near specific POIs like stations or airports.
- Real-time pricing enforcement: Rejects any data not sourced directly from the flyai-cli to prevent halluncinations.
- Multi-language support: Seamlessly handles queries and generates reports in both English and Chinese.
- Automated fallback logic: Provides alternative search triggers if primary capsule hotel queries return limited results.
- Strict validation: Internal checks ensure no response is sent without valid Openclaw Skills booking links.
SKILL.md
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