Individual skill
google-cloud-vision
Use this skill when an agent needs Google Cloud Vision API for still-image understanding: labels, object localization, OCR, document text, SafeSearch, image properties, crop hints, web detection, batch annotation, Cloud Storage based pipelines, confidence evaluation, privacy, quotas, cost, and QA. Do not use it for Gemini multimodal reasoning, video analysis, image generation, custom model training, product catalog search design, or human reference/authenticity review.
skills/providers/image-understanding/google-cloud-vision/SKILL.md
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# Google Cloud Vision API for still-image understanding
Use Google Cloud Vision when the production task needs structured annotations from still images: general labels, object boxes, text/OCR, dense document text, explicit-content likelihoods, dominant colors, crop suggestions, or web-reference signals. Treat it as a computer-vision annotation service, not as a conversational image reasoner.
Verified on 2026-07-11 against first-party Google Cloud documentation whose Cloud Vision pages were last updated 2026-07-07 unless otherwise noted. Pricing, quotas, endpoints, product lifecycle, supported features, and model behavior are volatile; recheck the linked Google pages before promising a production SLA, budget, data-region commitment, or migration path.
## Use and non-use boundaries
Documented fact: Cloud Vision API feature types include `TEXT_DETECTION`, `DOCUMENT_TEXT_DETECTION`, `LABEL_DETECTION`, `OBJECT_LOCALIZATION`, `SAFE_SEARCH_DETECTION`, `IMAGE_PROPERTIES`, `CROP_HINTS`, and `WEB_DETECTION`, among other features such as landmarks, logos, and faces. Source: Google Cloud Vision [features list](https://docs.cloud.google.com/vision/docs/features-list), verified 2026-07-11.
Use Cloud Vision for:
- Still images that need stable JSON fields rather than prose: labels with scores, object bounding polygons, OCR structure, SafeSearch likelihoods, dominant color values, crop vertices, web matches, or batch outputs.
- Backend media pipelines where images live in Cloud Storage and annotations must be stored, audited, thresholded, or joined with internal records.