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    Brag Mockups

    1

    Turn a logo and brand brief into realistic product mockups and brand presentation imagery.

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    Brag Mockups

    Brag Mockups

    Example session with this skill installed

    /mockup --logo ./assets/bolt-logo.svg --brand "Volt" --brief "High-end electric performance bicycles for urban commuters" --surfaces storefront,helmet,tshirt

    • Read your context and instructions
    • Compiled the brag mockups
    • Generated the image

    Processed the Volt brand brief and bolt-logo.svg. The brand tone was identified as "Technical, Premium, Urban." I have generated 4 primary mockups using deterministic rendering and 1 custom surface using the AI fallback.

    Mockup Deliverables

    SurfaceFile PathMethodNotes
    Retail Storefrontmockup-output/storefront_01.pngDeterministicApplied to glass window with 15% opacity frost.
    Cycling Helmetmockup-output/helmet_01.pngDeterministicPerspective wrap on matte black finish.
    Tech Teemockup-output/tshirt_01.pngDeterministicFabric displacement mapping applied.
    Handlebar Stemmockup-output/bike_detail_01.pngAI FallbackCustom generation for specific bicycle part.
    Contact Sheetmockup-output/contact-sheet.jpgSystemGrid overview of all generated assets.

    Brand Analysis Summary

    • Target Audience: Urban professionals, eco-conscious commuters.

    Visual Strategy: Minimalist placement on high-contrast, dark-toned surfaces to emphasize the "Electric" brand identity.

    • Asset Integrity: No color shifting or scaling distortions were applied to bolt-logo.svg.

    Next steps

    • Review the full mockup-output/brand-analysis.md for detailed placement logic.
    • Check mockup-output/manifest.json for all generative prompts used in the fallback.
    • Run /mockup --count 10 if you require a wider variety of lifestyle surfaces.

    storefront_01.png

    PNG · 1536×1024

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Presenting a logo on flat white space fails to communicate brand value. This skill transforms a single SVG or transparent PNG into a curated set of presentation-ready mockups, from retail packaging to large-scale billboards. It eliminates the manual work of masking, shading, and transforming logos onto physical surfaces while ensuring brand consistency across different applications.

    What it does

    • Surface mapping applies your logo to specific templates like apparel, stationery, and storefronts with realistic perspective and shading.
    • Brand analysis infers industry, audience, and tone from your brief to select the most relevant mockup surfaces.
    • Deterministic rendering preserves original artwork integrity without stretching, recoloring, or redrawing the logo.
    • Multi-format export generates individual high-resolution images, a contact sheet for quick review, and a manifest file.
    • Hybrid AI fallback generates custom surfaces when catalog templates cannot satisfy a specific request, keeping AI work labeled and additive.

    How it works

    1. Input validation checks the logo file for transparency and scale while parsing the company brief for industry context.
    2. Surface selection chooses a varied set of 6 surfaces from the internal catalog based on the brand's target audience.
    3. Execution runs the renderer to map the logo onto physical assets using defined transformation masks.
    4. Final inspection generates a brand-analysis.md report and packages all assets into a timestamped output directory.

    Frameworks & tools

    This skill utilizes a deterministic rendering engine for template mapping and supports SVG or transparent PNG assets. It integrates with AI generation tools for custom surface fallbacks.

    Why this beats prompting it yourself

    Generic AI prompts often hallucinate logo details or fail to maintain consistent brand colors across different shots. This skill uses a logic-based renderer that treats your logo as a protected asset, ensuring the geometry and colors remain 100% accurate to your original file.

    Use cases

    • Generate professional brand identity presentations for client reviews.
    • Preview merchandise like t-shirts and hats before sending designs to print.
    • Visualize storefront signage and billboards for environmental design pitches.
    • Create social media assets showcasing product packaging in realistic settings.

    Known limitations

    Requires a high-quality SVG or transparent PNG; opaque backgrounds or low-resolution files will be rejected. UI wireframes and logo redesigns are out of scope.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    • Passed all security checks, Safe to install

    Requires

    Python

    Listed4 days ago

    What's inside

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