What problem does it solve? Turning written articles or scripts into narrated presentation videos normally requires juggling storyboarding, slide design, TTS audio, subtitle timing, browser recording, and video assembly by hand. This Skill orchestrates that entire pipeline through durable, resumable files so an AI agent can produce a finished MP4 without losing state between steps. ## Core Features & Use Cases - File-based pipeline orchestration: Manages the full chain from article.md through content understanding, theme extraction, storyboard, slide specs, visual logic, deck.html, TTS audio, subtitles, and output.mp4, with staleness rules so any step can resume from files alone. - Content-driven visual design: Uses a content-to-visual-form mapping reference and a minimal GSAP/HTML/SVG toolkit so layout and animation follow the meaning of the content rather than fixed templates. - TTS and subtitle governance: Enforces a four-channel voice-source selection gate, local subtitle preview before paid TTS calls, timestamp alignment from real audio, and browser preview before recording. - Use Case: A technical writer pastes a blog post, confirms a working directory and semi-auto mode, reviews the generated storyboard and HTML deck, picks a free online TTS voice, and receives a narrated MP4 with burned-in subtitles. ## Quick Start Ask your AI agent to use the logamee-film-forge skill to turn your article into a narrated video, then confirm the project directory and execution mode when prompted.
