Shotstack — model skill for editing & clips

For AI agents: find the right skill in one call — curl -s "https://skills.varg.ai/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://skills.varg.ai/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.

Cloud video editing API with an official MCP server, CLI and Claude Code skill built around Edit JSON.

What it does

Shotstack renders edits described as JSON timelines (tracks, clips, transitions, captions, templates). Its beta MCP server lets Claude, ChatGPT, Cursor, Codex or Gemini CLI compose an edit, open it in an inline Studio editor for review, validate and render it, and poll status; agents are told to call get_shotstack_guide first for the authoring rules.

Use when

Install

More editing & clips 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.