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Send pipeline run summary via configured webhook channels
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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 | notify |
| description | Send pipeline run summary via configured webhook channels |
| trigger | pipeline |
| depends_on | ["social-prep"] |
| sandbox | true |
| inputs | [{"name":"channels","type":"list[dict]","description":"Notification channel configs (type + url)","source":"config.yaml#arcanea_claw.notify.channels"},{"name":"pipeline_stats","type":"dict","description":"Aggregated stats from all preceding pipeline steps","source":"runtime"}] |
| outputs | [{"name":"notifications_sent","type":"int","description":"Number of notifications successfully delivered"}] |
| dependencies | {"python":["requests","supabase"]} |
| tables | ["agent_registry (UPDATE items_processed)"] |
Collects stats from all pipeline steps and sends a summary notification:
ArcaneaClaw Pipeline Complete:
- {n} new files scanned
- {n} classified (Guardian assigned)
- {n} processed (WebP + variants)
- {n} scored ({hero_count} hero-tier!)
- {n} social posts drafted
Next run in 15 minutes.
Supports Discord webhooks, Slack incoming webhooks, and generic HTTP POST.
Also updates agent_registry with the total items_processed count.
Step 8 of 8 — final step, summarizes the entire pipeline run.