verify-product-image
FeaturedQC gate for a generated static ad image — verify the file opens, matches the requested dimensions, shows the correct product/subject (right shape, colour, label, logo), and has no garbled text or severe artifacts. Records pass/fail/needs-human in verification.md. Used as the final check in the static ad remix flow before shipping.
Install
Quality Score: 89/100
Skill Content
Details
- Author
- gooseworks-ai
- Repository
- gooseworks-ai/goose-skills
- Created
- 6 months ago
- Last Updated
- 1 weeks ago
- Language
- Python
- License
- MIT
Similar Skills
Semantically similar based on skill content — not just same category
product-image-qa-review
Review generated product images before they ship, catching the artefacts and accuracy failures that pass casual inspection. Use whenever the user is about to publish product images, has a batch to check, or asks how to quality-check AI-generated product photography.
thalarch-visual-qa
Performs evidence-first visual QA for images, generated assets, screenshots, branding, image edits, diagrams, and implemented web/mobile UI. Use after any visual deliverable or when comparing a result with a reference/baseline. Verifies pixels and metadata rather than trusting prompts, source code, or creator reports, with a light aesthetic polish check for professional visual work.
pre-flight-check
Mandatory pre-delivery quality gate for any artifact — websites, pages, images, documents, generated files. Use before delivering, shipping, deploying, or presenting any work as done, and whenever the user asks for a review, QA pass, or pre-launch check. Runs truth checks (no fabricated people, quotes, or numbers), copy review, versioning, link verification, geometry-based visual verification across the full breakpoint sweep (not just desktop and phone), a measurable review-team pass, and an honest delivery report. Prevents shipping unverified work.