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Score processed media on 5 aesthetic dimensions using Gemini Vision
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Based on SOC occupation classification
The Claw Fleet — 5 AI engines (Media, Forge, Herald, Scout, Scribe) with 33 skills, cross-claw events, and fleet orchestration for creative operations.
Visual web dashboard for managing AI agent pipelines. Inbox with approval cards, live agent monitoring, social scheduling, and publish pipeline.
Complete AI-powered media processing pipeline for creative world-building. Scans, classifies, processes, scores, and uploads media with fantasy/mythology-aware tagging.
Auto-generate platform-optimized image variants and AI-written captions for Instagram, LinkedIn, X, YouTube, and TikTok from any source image.
AI-powered aesthetic quality scoring for images. 5-dimension evaluation: Canon Alignment, Design Compliance, Emotional Impact, Technical Fit, Uniqueness. Scores 0-100 with automatic tier assignment.
Classify untagged media against Arcanea canon using Gemini Vision
| name | taste-score |
| description | Score processed media on 5 aesthetic dimensions using Gemini Vision |
| trigger | pipeline |
| depends_on | ["media-process"] |
| sandbox | true |
| inputs | [{"name":"batch_size","type":"int","description":"Max images to score per cycle","default":15},{"name":"model","type":"str","description":"Gemini model for scoring","source":"config.yaml#arcanea_claw.classify.model"}] |
| outputs | [{"name":"scored_count","type":"int","description":"Number of assets scored this cycle"},{"name":"hero_count","type":"int","description":"Number of assets that achieved hero tier (80+)"}] |
| dependencies | {"python":["google-generativeai","supabase","Pillow"]} |
| tables | ["asset_metadata (UPDATE quality_score, quality_tier, status='scored')"] |
Sends processed images to Gemini Vision for a 5-dimension quality assessment:
Total score (0-100) maps to quality tiers:
Processes at most 15 images per cycle.
Step 5 of 8 — runs after media-process, feeds media-upload and social-prep.
