weshopai/weshop-skill-package/product-packaging
Claude Code and agent skill by weshopai/weshop-skill-package
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Checking that the SKILL.md file is still in the repository.
Create a structured product packaging concept board from supplied product, brand, logo, color, or structural references. Use for early packaging directions that show conceptual front/back packs, a simplified dieline view, structure details, palette, materials, and finish ideas in one 3:4 presentation image; do not use for manufacturing-ready dielines, engineering dimensions, regulatory copy, or candle mockups.
Install
npx vskill@latest install weshopai/weshop-skill-package/product-packagingSKILL.md
Product Packaging
Turn product and brand references into one coherent packaging concept board. The durable capability is a selected image model plus a compiled Prompt, not a named packaging endpoint.
Catalog
- Display name: Product Packaging
- Categories: Commercial Production, Layout & Design
- Status: Ready
- Route label: Model-routed packaging concept
- Tone: lilac
- Short description: Turn product references into a structured packaging concept board.
- Similar skills: ai-product, create-white-background-product-mockup
What this skill does
- Maps product, logo, color, structure, and style references to explicit roles before generation.
- Starts from the cleaned WeShop Product Packaging default Prompt and compiles only the supplied product facts.
- Routes the best current image model for layout, reference following, and text handling instead of depending on a temporary tool endpoint.
- Produces one presentation board and rejects invented specifications, regulatory copy, or claims that look production-approved.
How to use
Attach the product and any logo, brand, color, or packaging references, then describe the packaging direction in one sentence.
Create a packaging concept
Use brand references
Workflow
1. Compile the brief
Ask only when a missing packaging format, exact copy, or source role would materially change the result. Treat inferred formats, dimensions, materials, and finishes as concepts, never verified production facts.
2. Select the model
- Apply the shared model-selection policy. Packaging with any readable brand, product, regulatory, or promotional copy routes to GPT Image 2 Medium.
- Use an editing model when the task is primarily a controlled update to supplied packaging artwork rather than a new concept board.
- Use a specialized packaging agent only if its current API contract is available, verified, and materially better. The Skill must remain executable through a foundation model if that agent disappears.
- Default a normal packaging concept deliverable to one
3:4,2K, GPT Image 2 Medium result withbatchCount: 1. Use Low only for an explicitly named structure/layout draft; if text still fails, hand exact copy to deterministic layout rather than switching models.
3. Compile the Prompt
Start from the cleaned default Prompt supplied for Product Packaging. Do not search the API for another baseline unless the cleaned document has no default.
Normalize it into this order:
The board may resemble a professional packaging portfolio presentation, but it is not a production dieline or engineering document.
4. Generate and accept
Execute through WeShop OpenAPI, poll to terminal state, and read the returned image result.
Accept only when:
- One 3:4 board clearly presents the requested packaging direction.
- Product identity, supplied logo, verified colors, and exact supplied copy remain recognizable.
- Front, back, simplified dieline, structural detail, palette, and material/finish ideas form a coherent system rather than unrelated variants.
- The hierarchy is legible and the board has useful white space.
- No unsupported specification, claim, certification, ingredient, barcode, dimension, or production guarantee appears as fact.
- The result reads as a concept board, not a manufacturing-ready deliverable.
5. Retry a failed result
Retry once on the same model with a non-identical Prompt naming only the failed property. Remove optional illustration and microcopy first when the board is crowded or text is garbled. Reassert reference roles when product or brand identity drifts. Change models only for a demonstrated capability mismatch, and use a specialized packaging agent only while its current contract remains verified. Record model, optional agent, parameters, Prompt revision, execution ID, error, retryability, refund state, and acceptance failure.
When this Skill selects GPT Image 2, use quality: "medium" and imageSize: "2K" by default; change either only when the user explicitly requests another tier.
Every GPT Image 2 call in this Skill defaults to Medium at 2K; use another tier only when the user explicitly requests it.
User-facing output
- Media type: One product-packaging concept board and a compact acceptance record
- Default quantity: 1 separate image
- Content per image: One coherent packaging direction with conceptual front, back, dieline, structure, palette, and material views
- Default layout: 3:4 presentation board with ample white space
- Video output: No
- Model policy: Route the best current layout- and reference-capable image model; specialized packaging endpoints are optional
- Downstream use: Packaging exploration, design reviews, brand direction, and briefing a packaging designer
Security
- Security scanPassed, 100 of 100Pattern checks on the skill's files.
- Model reviewNot runA model review is scheduled for the next rescan.
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingskills/product-packaging/SKILL.md
Popularity
- Repository npm downloads, 7 days
- 172
- 7-day trend score
- 15
Downloads are for the repository's npm package. Refreshed 5 Oct 2026, a month ago.
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