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Building a Full Video Production Workflow Without Leaving Your Terminal

4 min read

Building a Full Video Production Workflow Without Leaving Your Terminal

Video editing has always required switching between tools — a recorder, an editor, a caption generator, a scheduler. Each transition adds friction and time. A code-based approach using the Remotion framework changes that equation significantly. When combined with an AI coding assistant and a connected publishing tool, you can go from a text prompt to a published social media video without opening a dedicated video editor at all.

What Remotion Enables

Remotion is a framework for creating videos programmatically using React. In practical terms, this means you can describe what you want — motion graphics, animated text, specific scenes, web screenshots, your own photos — and have code generated that produces the video. The framework runs a local studio at a localhost address where you can preview and edit compositions in real time.

Installing it through a skills system takes under two minutes. Once installed, you can invoke it implicitly — mention video creation in your prompt and the skill activates — or call it explicitly.

Creating Motion Graphics with Web Screenshots

The first practical use case is generating short-form vertical videos for platforms like Instagram Reels or TikTok. A single prompt specifying the topic, duration, aspect ratio, and style (animated text, motion graphics, safe zones for short-form) produces a working video in a few minutes.

What makes this more than a novelty is the ability to pull live content into the video. If your video curates a list of public resources, the AI can open each URL, take a screenshot using a browser extension, and hand those screenshots to Remotion to incorporate into the composition. The research, screenshotting, and embedding happen in sequence without manual intervention.

Your own assets — product photos, headshots, B-roll footage — can be incorporated the same way. Point the AI at a folder, describe what you want included, and the assets are embedded.

Editing Existing Video Footage

For talking-head video, the workflow is different. Film your clip, transfer it to your computer, and prompt the AI to edit it: remove mistakes, add captions, apply a title, respect safe zones so text does not overlap with platform UI elements.

Remotion uses a local transcription tool (Whisper, if installed) to generate timestamps, detect the audio, and cut around mistakes. Captions are added with word-level timing. The result appears in the local studio for review.

Iteration happens through plain language. If the captions look cramped, say so. If a blooper was not removed, describe it. The AI adjusts the composition and re-renders. Getting a template dialled in for a consistent style takes time — expect to spend a day or two working out the details — but once it is set up, editing follows a repeatable process.

Publishing via MCP

The final step connects to social media through an MCP server. After setting up an API key, scheduling a video to a specific platform at a specific time is a single prompt. The AI writes the caption, confirms it with you, and queues the post. A content calendar reflects the scheduled post within seconds.

The practical implication for creators or marketers managing multiple platforms: the entire production cycle — from topic to published post — runs inside a single session.

Takeaway

The bottleneck in content production is rarely ideation — it is the time cost of execution. A workflow that handles motion graphics generation, asset integration, video editing, and social scheduling from a single interface removes most of that friction. The tooling is early, and the video editing in particular requires template work upfront, but the architecture is sound and the cost is low.