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Classify untagged media against Arcanea canon using Gemini Vision
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
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.
Detect and reject duplicate media files by content hash
| name | media-classify |
| description | Classify untagged media against Arcanea canon using Gemini Vision |
| trigger | pipeline |
| depends_on | ["media-scan"] |
| sandbox | true |
| inputs | [{"name":"batch_size","type":"int","description":"Max images to classify per cycle","default":20},{"name":"model","type":"str","description":"Gemini model for vision classification","source":"config.yaml#arcanea_claw.classify.model"}] |
| outputs | [{"name":"classified_count","type":"int","description":"Number of assets classified this cycle"}] |
| dependencies | {"python":["google-generativeai","supabase","Pillow"]} |
| tables | ["asset_metadata (UPDATE guardian, element, gate, tags, content_type, status)"] |
Queries asset_metadata for rows with status='new' or guardian IS NULL,
sends each image to Gemini Vision with a canon-aware prompt, and updates the
row with the identified Guardian, Element, Gate, tags, and content type.
Processes at most 20 images per cycle to stay within API rate limits.
Step 2 of 8 — runs after media-scan, feeds media-process and taste-score.
