Select event photos into album_select and digest_highlights deliverables.
npx skills add https://github.com/mocchalera/select-photos-skill --skill select-photos
Please help me install this Agent Skill. Skill: select-photos Source: https://github.com/mocchalera/select-photos-skill/tree/main/select-photos Command: npx skills add https://github.com/mocchalera/select-photos-skill --skill select-photos
Event photography post-work is labor-intensive: sifting through hundreds of shots, removing near-duplicates, checking for key moments, and organizing two deliverables without editing originals.
Provide a folder or ZIP of event photos and ask the skill to generate album_select and digest_highlights results.
High-intent search queries and answers about installing and using this skill.
Automating event photo selection from a ZIP file involves processing the archive to remove duplicates and compute quality metrics. This workflow outputs two curated sets: a broad album_select and a share-ready digest_highlights package.
Generating contact sheets and quality metrics requires copying original photos into a working project and computing lightweight assessments. This produces labeled visual manifests and metric reports to streamline photo selection.
Yes, you need Python with the Pillow library to curate highlight reels from event photos. Optional OpenCV integration provides advanced eye and face crop detection to improve replacement accuracy during selection.
Yes, you can remove near-duplicate photos and prioritize emotional coverage without editing originals. The workflow copies source images to a working project, ensuring non-editing constraints are met while organizing deliverables.
Limitations of automated photo selection include relying on lightweight quality metrics and optional eye or face detection, which may require manual review. It focuses on coverage and emotions without applying edits to original photographs.
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