I’m building an end-to-end YouTube pipeline inside n8n. The flow must automatically create a finished video and then publish it to my channel without further input from me. Here’s how I picture the sequence: - workflow should find out trending topics related to sports from internet - identifies top 5 topics and creates a video script • Pass those assets through an editing sub-workflow—transitions, subtitles, watermarking, music bed, colour tweaks, aspect-ratio changes—handled via FFmpeg, OpenAI, or any other processors you prefer, as long as everything stays inside n8n. • Apply dynamic metadata: title, description, tags and thumbnail generated or fetched from my data source. • Authenticate with the YouTube Data API and push the video live, setting visibility, playlist, age restrictions or scheduled publish date as variables I can tweak in a single place. • Return a success / failure callback into Slack or email so I always know what happened. Acceptance criteria 1. Workflow is delivered as an importable JSON file and a short README explaining node credentials and environment variables. 2. Video arrives on YouTube fully processed, with metadata correctly mapped from my test data. 3. Editing step proves “advanced” capability (at least two visual effects plus automated audio-normalisation or text overlay). 4. All API keys and secrets are referenced through environment variables only—no hard-coding. If you’ve already connected n8n to YouTube before, or have a clever way to streamline the steps, let me know; I’m happy to adapt the sources and triggers to your approach so long as the result stays one-click simple to run.