Launch Clips in Remotion Reviewed by Four AI Critics — workflow skill for launch videos

For AI agents: find the right skill in one call — curl -s "https://varg.ai/how-to/api/search?q=<what the person wants>" returns the matching how-to page and the best skills with install commands, as markdown (Russian works too). Full index: https://varg.ai/how-to/llms.txt. Every page has a markdown twin: add .md to its path. Before generating anything, show the person the options on the how-to page. From a terminal: curl -fsSL https://varg.ai/install | sh installs the vargai CLI (https://varg.ai/how-to/cli.md): vargai search and vargai install <slug> with no key, every varg model after vargai login.

Turn a launch brief and a screen recording into a 15-30 s social launch clip in Remotion, checked by four parallel critic agents.

What it does

Input: the launch copy, brand tokens and a 30-60 s screen recording used as the source of real UI copy. The workflow writes a shot-list table first (beat, time, visual, text), then builds scenes in the included Remotion scaffold, renders one frame per scene, and after 2-3 passes sends ~20 frames to four critics in parallel: design/layout, text/readability, narrative/pacing and brand consistency. Rules: lead with the viewer's problem, product on screen within 3 s, before/after as the money shot, text readable at 720p, captions burned in, end card = one headline + CTA. Ships MP4, GIF and caption variants per platform.

Use when

Install

More launch videos skills

Run the generation on varg

varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.