verify-product-image
This Claude Code skill performs quality assurance on generated static ad images by validating that files open successfully, match requested dimensions, feature the correct product with proper branding elements, and contain no garbled text or visual artifacts. It checks product authenticity, color palette adherence, typography consistency, and text accuracy before recording verification results in a markdown file, serving as the final checkpoint before static ads are deployed.
git clone --depth 1 https://github.com/gooseworks-ai/goose-skills /tmp/verify-product-image && cp -r /tmp/verify-product-image/skills/ads/capabilities/verify-product-image ~/.claude/skills/verify-product-imageSKILL.md
# verify-product-image Verify image files open, match requested dimensions, show the requested subject/product, and have no severe artifacts. ## Checks - Confirm required input files exist. - Confirm output files or written plans match the skill contract. - **Product/asset:** the featured hero is the brand's real product (or app UI for SaaS), matching the kit asset — not a mascot, logo, or placeholder standing in for the product. - **Brand alignment:** colours come from the intended source (the reference's palette for `style_source: template`, the kit's documented `colors` for `brand`) — **no invented/off-brand colour** (e.g. an accent pulled off a logo or mascot). Typography matches the kit's fonts. - **Text/logo:** copy and label text are real and correctly spelled; any logo is the brand's correct, undistorted mark. - Record pass, fail, skipped, blocked, or needs human review in `verification.md`.
>
AI video conversations - create real-time video calls with AI personas
AI-powered web scraping - extract data using natural language prompts
Search Amazon products - find items, compare prices, read reviews
Test and document API endpoints - validate responses, check status, generate examples
>
>
Brand intelligence - logos, colors, fonts, styleguides, and company data from any domain