cmm-remotion-videolisted

The render/execution engine of the CMM video stage — turns an article, idea, topic, research brief, or an upstream cmm-video-production video_package into a Xiaohongshu/Douyin-ready vertical short video via a structured AI-to-Remotion workflow (TTS narration, synced captions, scene visuals, cover, publish copy). Use it to actually render/produce/package the video. When the format is already fixed (e.g. a vertical card/typography video) it can be called directly and self-derives its script in standalone mode; when cmm-video-production has produced a video_package, it consumes that instead of re-scripting. For choosing format/engine first, use cmm-video-production. Especially for 30-130s Chinese social videos.
chemny/cmm-content-factory · ★ 2 · Code & Development · score 76

Install: claude install-skill chemny/cmm-content-factory

# Remotion Short Video Skill Use this skill to convert user-provided articles, ideas, or topics into a publish-ready vertical short video package. The skill should keep creative reasoning and deterministic rendering separate: - The active agent handles understanding, research, scripting, storyboarding, and quality judgment. - The bundled workflow and Remotion project handle structured files, media assets, timing, rendering, cover export, and packaging. This separation lets the skill run inside Claude Code, Codex, OpenClaw, or another agent without requiring an internal LLM API. If an LLM API is available, it can be used as an optional backend for standalone or batch runs. ## Default Target Unless the user specifies otherwise, use these defaults: - Platform: Xiaohongshu and Douyin compatible - Format: vertical video, **3:4 (1080×1440) by default** — 账号选定的默认竖版比例。 (注:抖音/小红书原生全屏是 9:16;本账号默认用 3:4,需全屏再显式指定 9:16。) - Duration: 90-130 seconds - FPS: 30 - Language: Chinese - Style: knowledge explainer or opinion analysis - Visual approach: AI images or sourced stills, animated typography, simple data graphics, keyword-highlight captions - Outputs: `video.mp4`, `cover.png`, `script.md`, `captions.srt`, `publish.md`, `metadata.json` ## Core Workflow Follow this sequence: 1. Parse the input. - Identify whether the user gave an article, a rough idea, a topic, or a partial script. - **If an upstream `cmm-video-production` `video_package` is provided** (script, storyboa