An AI-driven design engine that creates professional product packaging, labels, and retail mockups for various industries.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install packaging-design-generation
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 packaging-design-generation 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 Packaging Design Generation?
The Packaging Design Generation skill utilizes the each::sense AI framework to produce high-fidelity visual designs for physical products. It serves as a bridge between brand conceptualization and visual realization, allowing users to generate everything from minimalist cosmetic jars to vibrant snack pouches via simple text prompts. This capability within the Openclaw Skills ecosystem empowers developers to automate the creation of marketing assets and product prototypes.
By specifying materials, branding elements, and visual hierarchies, users can receive print-ready concepts or realistic 3D mockups. The tool is designed to understand industrial design requirements, such as bleed areas and die-cut windows, ensuring that the output is not just aesthetic but also grounded in practical packaging standards.
Packaging Design Generation Use Cases
- Creating sleek electronics box designs with dark matte finishes and silver accents.
- Designing vibrant, illustrative food packaging for organic snacks including window cutouts.
- Developing luxury skincare packaging sets with consistent branding across bottles and boxes.
- Generating craft beverage labels that incorporate vintage-inspired hop and landscape art.
- Building cohesive retail identities through custom shopping bag and sticker designs.
How Packaging Design Generation Works
- The user provides a detailed prompt specifying the product type, brand name, style (e.g., minimalist, luxurious), and materials.
- The request is transmitted to the each::sense API with a chosen quality mode (
maxoreco). - The AI interprets the design hierarchy, placing logos, typography, and imagery according to industry-standard compositions.
- A visual design is generated, representing the packaging at specific angles (front view, 3/4 view, etc.).
- If iterative refinement is needed, the user provides feedback using a consistent session ID to maintain brand visual language.
Packaging Design Generation Setup
To utilize this skill, you must have an Eachlabs API key. Configure your environment and use a standard POST request as shown below:
export EACHLABS_API_KEY="your_api_key_here"
curl -X POST https://sense.eachlabs.run/chat \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"message": "Design a luxury candle box with gold foil accents and minimalist white labels.",
"mode": "max"
}'
Packaging Design Generation Data Schema & Taxonomy
The skill manages design data through specific parameters in the API payload to ensure high-quality output within Openclaw Skills.
| Parameter | Type | Description |
|---|---|---|
message |
String | The detailed design prompt including brand and material specs. |
mode |
String | Selection between max (highest quality) or eco (faster drafts). |
session_id |
String | Required for maintaining consistency across a product line. |
X-API-Key |
Header | Your unique authentication key from Eachlabs. |
Packaging Design Generation Advanced Features
- Product Line Consistency: Use a single session ID to ensure that different containers (e.g., a serum bottle and a moisturizer jar) share the same design DNA.
- Material & Finish Simulation: Request specific industrial finishes such as spot UV, embossing, foil stamping, or matte textures in the prompt.
- Multi-Angle Rendering: Specify the view angle, such as 3/4 angle, flat lay, or mockup style, to visualize the package in various environments.
- Regulatory Space Planning: Prompts can be structured to leave specific areas for nutrition facts, ingredient lists, or FDA disclaimers.
SKILL.md
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