What problem does it solve? Scaling a commercial film factory from manual renders to an automated production pipeline requires coordinating n8n workflows, AI script variations, multi-format distribution, and analytics feedback loops without breaking existing deterministic render scripts. ## Core Features & Use Cases - n8n Control Plane (Phase 3): Wraps existing shell entrypoints in a webhook-driven flow with OpenAI director beats, OpenRouter hook variations, and R2/S3 upload returning receipts. - Distribution Bundle (Phase 4): Produces per-run outputs including 16:9, 9:16, and 1:1 video formats, captions, hashtags, title variants, and thumbnails with lane-specific publish policies. - Film Memory Loop (Phase 5): Treats each film as an experiment, storing incident reports in SQLite and feeding analytics back into beat SSOT updates. - Use Case: When the founder requests a production deploy with an n8n workflow and self-healing factory, this Skill gates prerequisites, plans the spike checklist, and defines API contracts before any code changes. ## Quick Start Ask the assistant to plan the Phase 3 n8n orchestration for the WitnessBC commercial film pipeline using this Skill.