Travel Grid Generator creates high-quality, character-consistent 3x3 social media photo collages in a realistic travel blogger style.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install travel-grid-generator
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 travel-grid-generator 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 Travel Grid Generator?
The Travel Grid Generator is a sophisticated tool within the Openclaw Skills ecosystem designed to solve the challenge of character consistency in AI-generated imagery. It allows users to transform a single reference photo into a comprehensive 9-square travel story, maintaining facial features, hair style, and persona across nine distinct scenes at a chosen destination.
By leveraging advanced prompt engineering and destination research, this skill mimics the aesthetic of a real-life travel diary. It focuses on the 'iPhone snapshot' or 'Fujifilm' aesthetic, prioritizing natural lighting and candid compositions over polished, commercial photography to provide an authentic social media experience.
Travel Grid Generator Use Cases
- Creating cohesive social media content for travel blogging and digital storytelling.
- Maintaining strict character consistency across multiple AI-generated scenes for virtual influencers.
- Generating realistic travel memories and snapshots for specific global destinations.
- Producing high-quality 3x3 photo grids with varied poses and expressions automatically.
How Travel Grid Generator Works
- The skill performs a deep analysis of user-uploaded photos to identify essential facial features, skin tone, and hair details.
- It determines the target destination and uses web search to identify nine iconic landmarks and local lifestyle spots.
- A complex prompt is constructed using a character description template and a specific 3x3 grid layout structure.
- It applies specialized photography style parameters to ensure a consistent 'candid' look across all frames.
- The generation engine executes the request using specific aspect ratios and model parameters to produce the final collage.
Travel Grid Generator Setup
To integrate this capability into your environment, ensure you have the Openclaw Skills framework installed and the necessary image generation tools configured.
# Clone the repository
git clone https://github.com/qclaw/travel-grid-generator
# Install dependencies
npm install @openclaw/core
# Configure your image generation API keys in .env
IMAGE_MODEL="gpt-image-2"
Travel Grid Generator Data Schema & Taxonomy
The skill organizes data by mapping character traits to a structured prompt framework. It uses the following taxonomy to ensure output quality:
| Component | Description |
|---|---|
| Character Attributes | Map of face shape, eyes, nose, lips, and hair style. |
| Scene List | Array of 9 locations, each with assigned poses and expressions. |
| Style Profile | Metadata defining camera type, lighting, and color grading. |
| Destination Context | Reference data from internal destination templates. |
Travel Grid Generator Advanced Features
- Multi-scene destination research using integrated web search for real-time landmark selection.
- Strict character consistency logic to prevent 'AI drifting' across the 9-frame grid.
- Specialized 'iPhone Snapshot' style injection for high-fidelity, non-commercial aesthetics.
- Support for multi-language triggers including Chinese and English for global accessibility within Openclaw Skills.
SKILL.md
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