Science what-if explainer — how to make it with code and an AI agent

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 use case 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 use-case page.

A question at an impossible scale: 3D models, particles and numbers that keep growing.

Output: 16:9 or 9:16 · 30–120 s · Input: A question and the numbers behind it

Skills that make it end to end

Recipe, beat by beat

Each beat lists components that build it; install any with its command, then fill its slots.

Question (Headlines & quotes)

Model (3D & objects, Diagrams & flows, Particles & physics)

Scale (Stats & KPIs, Camera moves)

Answer (Kinetic type)

Across the whole video: Captions & subtitles

Generated footage, voice and music

Code renders the layout for free. Anything generated — AI shots, voiceover, music, lip-sync — runs on varg with one key: npx skills add vargHQ/skills --skill varg-ai, the Claude Code plugin claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg, or the MCP https://mcp.varg.ai/mcp.