Pack-List: Intelligent Travel Packing & Gear Planner for Openclaw

A travel-focused execution skill that generates dynamic packing lists and manages trip essentials through real-time CLI integration.

dingtom336-gif
v3.2.0
Apr 13, 2026
0
663
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install pack-list

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

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).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is Pack-List: Intelligent Travel Packing & Gear Planner?

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.

Pack-List: Intelligent Travel Packing & Gear Planner Use Cases

  • Creating custom packing lists based on destination, season, and planned activities.
  • Identifying essential travel gear for specific scenarios like winter hiking or business trips.
  • Organizing luggage checklists for international travel including passport and visa requirements.
  • Accessing real-time booking links for travel essentials and missing gear directly through the agent interface.
  • Coordinating travel logistics such as flight bookings and hotel reservations alongside packing preparation.

How Pack-List: Intelligent Travel Packing & Gear Planner Works

  1. The AI agent detects travel-related keywords such as 'what to pack' or 'travel essentials' within the Openclaw Skills framework.
  2. The skill performs a mandatory environment check to ensure the flyai CLI is installed and functional.
  3. The agent collects trip parameters like destination and activities, asking clarifying questions if necessary.
  4. Specific playbooks (General, Beach, Winter, etc.) are triggered to execute targeted CLI commands.
  5. The CLI returns live JSON data which is then parsed and validated for accuracy.
  6. The final output is rendered in a structured Markdown format, featuring a comparison table and mandatory booking links.

Pack-List: Intelligent Travel Packing & Gear Planner Setup

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

Pack-List: Intelligent Travel Packing & Gear Planner Data Schema & Taxonomy

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).

Pack-List: Intelligent Travel Packing & Gear Planner Advanced Features

  • Multi-language support: Automatically detects and responds in the user's input language (e.g., English or Chinese).
  • Contextual Parameter Mapping: Uses domain knowledge to enrich CLI queries based on trip duration and destination climate.
  • Strict Validation Protocol: Automatically re-executes commands if booking links or real-time data tags are missing from the output.
  • Fallback Recovery: Includes specific references for failure recovery to ensure the agent never reverts to outdated training data.

SKILL.md


Loading

Related Openclaw Skills

METADATA

Github Stars: 0
forks: 0

Featured*