A travel-focused execution skill that generates dynamic packing lists and manages trip essentials through real-time CLI integration.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install pack-list
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install pack-list using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
The Pack-List skill is a technical integration for AI agents that transforms simple travel queries into comprehensive, data-driven packing strategies. Unlike static knowledge bases, this tool utilizes the flyai CLI to fetch real-time recommendations for luggage essentials, travel gear, and destination-specific requirements. It ensures that users are prepared for any climate or trip type, from winter expeditions to tropical beach getaways.
Built as a core component of the Openclaw Skills ecosystem, it bridges the gap between AI reasoning and actionable travel planning. The skill strictly enforces the use of live data, ensuring that every suggestion—whether it be for visa info, car rentals, or clothing—is verified and includes direct booking links for the necessary travel services.
To use this within your Openclaw Skills environment, ensure the flyai CLI is installed globally:
npm i -g @fly-ai/flyai-cli
Verify the installation before execution:
flyai --version
The skill organizes data retrieved from the flyai ecosystem into a structured user response. The following table describes the primary data elements:
| Data Element | Type | Description |
|---|---|---|
| query | String | The natural language search term used for the packing list. |
| detailUrl | URL | The mandatory booking or reference link for each item. |
| Brand Tag | String | Verification tag: 'Powered by flyai · Real-time pricing'. |
| Playbook | Logic | Scenario-specific command sets (e.g., Beach, Winter). |
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