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Generate a 3x3 grid (9-square) travel blogger style collage based on user photos and a specific destination.

by SwiftUIs · GitHub ↗ · v1.0.0 · MIT-0
cross-platform ✓ Security Clean
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Install in OpenClaw
/install travel-grid-generator
Description
travel-grid-generator
README (SKILL.md)

Travel Grid Generator

Generate high-quality, character-consistent 3x3 travel photo grids in "Travel Blogger" style.

When to Use

User triggers this skill when they:

  • Upload photos and mention a destination
  • Say "用 travel-grid-generator 生成一张去[目的地]的九宫格"
  • Request "九宫格旅行照" or "travel grid photos"

Workflow

Step 1: Analyze User Photos

When user uploads photos:

  1. Identify key facial features: face shape, eye shape, nose, lips, skin tone
  2. Note hairstyle and hair color: essential for consistency
  3. Capture temperament/persona: natural, relaxed, energetic, etc.
  4. Describe the "Travel Blogger" persona: young, natural, pretty, relaxed, and smiling

Step 2: Determine Destination

Get the destination from user input. If not specified, ask:

  • "请问您想去哪个目的地?例如:京都、伦敦、土耳其、巴黎、纽约..."

Step 3: Research Destination Landmarks

IMPORTANT: Before generating, search for 9 iconic locations/landmarks at the destination:

  1. Use web_search to find: "{destination} 必去景点" or "{destination} top attractions Instagram spots"

  2. Select 9 diverse locations:

    • 2-3 iconic landmarks (must-see spots)
    • 2-3 street/neighborhood scenes (local vibe)
    • 1-2 cafe/restaurant scenes (lifestyle)
    • 1-2 nature/outdoor scenes (if applicable)
    • 1 evening/night scene (for variety)
  3. Create a scene list with specific poses and expressions for each

Step 4: Construct Prompt

Use the template below. Fill in:

  • Character description from Step 1
  • 9 scenes from Step 3
  • Photography style parameters

Step 5: Execute Generation

Call generate_image with:

aspect_ratio: "1:1"
model: "gpt-image-2"

Prompt Engineering Framework

Character Description Template

CHARACTER (MUST MAINTAIN STRICTLY):
- Same person from reference image in ALL 9 frames
- Face: [face shape], [eye shape], [nose], [lips], [skin tone]
- Hair: [color], [length], [style]
- Expression: Natural smile, relaxed demeanor
- Style: Travel blogger aesthetic - casual, trendy, comfortable
- Outfit: Appropriate for [destination] and [season]

Photography Style Parameters

PHOTOGRAPHY STYLE:
- Camera: iPhone snapshot / Fujifilm film camera style
- Quality: Low clarity, slight motion blur acceptable
- Lighting: Natural lighting, sometimes slightly overexposed
- Composition: Casual, candid, not perfectly framed
- Vibe: Real-life memory, travel diary snapshot, NOT professional commercial photography
- Color: Natural tones, avoid over-saturation

Grid Structure Template

3x3 GRID LAYOUT (9 frames):

Frame 1 (Top-left): [Location] - [Pose] - [Expression]
Frame 2 (Top-center): [Location] - [Pose] - [Expression]
Frame 3 (Top-right): [Location] - [Pose] - [Expression]
Frame 4 (Middle-left): [Location] - [Pose] - [Expression]
Frame 5 (Center): [Location] - [Pose] - [Expression]
Frame 6 (Middle-right): [Location] - [Pose] - [Expression]
Frame 7 (Bottom-left): [Location] - [Pose] - [Expression]
Frame 8 (Bottom-center): [Location] - [Pose] - [Expression]
Frame 9 (Bottom-right): [Location] - [Pose] - [Expression]

Full Prompt Template

Generate a 3x3 grid image (9 frames arranged in a square) featuring the same person in different travel scenes at [DESTINATION].

[CHARACTER DESCRIPTION FROM STEP 1]

PHOTOGRAPHY STYLE:
- iPhone snapshot aesthetic, casual and candid
- Natural lighting, slight overexposure acceptable
- Low clarity, minimal post-processing
- Real-life memory feel, travel diary style
- NOT professional commercial photography

9 SCENES:

1. [Scene 1 details with location, pose, expression]
2. [Scene 2 details]
3. [Scene 3 details]
4. [Scene 4 details]
5. [Scene 5 details]
6. [Scene 6 details]
7. [Scene 7 details]
8. [Scene 8 details]
9. [Scene 9 details]

CONSTRAINTS:
- MUST be the SAME PERSON in all 9 frames with identical facial features
- No deformed limbs, fingers, or AI artifacts
- No westernization or generic template faces
- Realistic outfits appropriate for [destination] and season
- Each frame should feel like a genuine iPhone photo memory
- Maintain travel blogger aesthetic throughout

Pose & Expression Variety

Mix these across the 9 frames:

Poses:

  • Selfie (close-up)
  • Walking towards camera
  • Walking away (back view)
  • Looking back over shoulder
  • Sitting at cafe
  • Standing with landmark
  • Candid laugh
  • Profile shot
  • Looking at scenery (not camera)

Expressions:

  • Natural smile
  • Laughing
  • Thoughtful/contemplative
  • Excited/happy
  • Relaxed/calm
  • Looking away

Constraints Checklist

Before generating, verify:

  • Character features explicitly described
  • 9 distinct scenes with specific locations
  • Varied poses across frames
  • Varied expressions
  • Photography style parameters set
  • Season-appropriate outfits
  • Destination-appropriate settings

Output

After generation:

  1. Present the image to user
  2. Optionally save to a designated folder if requested
  3. Offer to regenerate specific frames if needed

Example Usage

User: uploads photo "用 travel-grid-generator 生成一张去巴黎的九宫格"

Agent:

  1. Analyze photo features
  2. Search "Paris top Instagram spots attractions"
  3. Select 9 locations: Eiffel Tower, Louvre, Montmartre, Seine River, cafe scene, Marais district, Champs-Élysées, Sacré-Cœur, evening Seine cruise
  4. Build prompt with character description + 9 scenes
  5. Call generate_image with aspect_ratio: "1:1", model: "gpt-image-2"
  6. Present result

References

See references/destinations.md for pre-built scene templates for popular destinations.

Usage Guidance
This skill looks safe to use for its intended purpose, but only provide photos you are comfortable having processed by an image-generation tool, and avoid adding private itinerary or location details to destination prompts.
Capability Analysis
Type: OpenClaw Skill Name: travel-grid-generator Version: 1.0.0 The travel-grid-generator skill is designed to create 3x3 travel photo collages using image generation tools while maintaining character consistency. The workflow involves analyzing user-provided photos for facial features, researching destination landmarks via web search, and constructing detailed prompts for an image generator. All instructions in SKILL.md and the destination templates in references/destinations.md are strictly aligned with the stated purpose and show no signs of malicious intent, data exfiltration, or unauthorized command execution.
Capability Tags
crypto
Capability Assessment
Purpose & Capability
The stated purpose and required capabilities are coherent: it analyzes user-provided photos, researches destination scenes, and calls an image-generation tool to create a 3x3 travel collage. The photo and facial-feature handling is sensitive but purpose-aligned.
Instruction Scope
The workflow is user-triggered and bounded to collage generation. It does instruct use of web_search even though the declared OpenClaw tool requirement lists generate_image, but the search is for destination landmarks and appears proportionate.
Install Mechanism
No install spec, binaries, environment variables, credentials, or code files are present; this is an instruction-only skill.
Credentials
The skill only needs user-uploaded photos, a destination, web search, and image generation. There is no evidence of broad local file access, credential use, hidden endpoints, or unrelated data collection.
Persistence & Privilege
No persistence, background execution, elevated privileges, or automatic file writes are shown. Saving is described as optional and only to a designated folder if requested.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install travel-grid-generator
  3. After installation, invoke the skill by name or use /travel-grid-generator
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of travel-grid-generator. - Generate 3x3 "travel blogger" style photo collages based on user photos and a selected destination. - Maintains character consistency and style across all 9 frames using detailed analysis of user faces and poses. - Automatically researches 9 diverse, iconic scenes or landmarks at the specified destination for realistic compositions. - Produces candid, natural iPhone-style snapshots, with a focus on authentic travel diary aesthetics. - Triggers via keywords or user uploads; offers template prompts and output customization.
Metadata
Slug travel-grid-generator
Version 1.0.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 1
Frequently Asked Questions

What is Generate a 3x3 grid (9-square) travel blogger style collage based on user photos and a specific destination.?

travel-grid-generator. It is an AI Agent Skill for Claude Code / OpenClaw, with 44 downloads so far.

How do I install Generate a 3x3 grid (9-square) travel blogger style collage based on user photos and a specific destination.?

Run "/install travel-grid-generator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Generate a 3x3 grid (9-square) travel blogger style collage based on user photos and a specific destination. free?

Yes, Generate a 3x3 grid (9-square) travel blogger style collage based on user photos and a specific destination. is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Generate a 3x3 grid (9-square) travel blogger style collage based on user photos and a specific destination. support?

Generate a 3x3 grid (9-square) travel blogger style collage based on user photos and a specific destination. is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Generate a 3x3 grid (9-square) travel blogger style collage based on user photos and a specific destination.?

It is built and maintained by SwiftUIs (@swiftuis); the current version is v1.0.0.

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