Podcast clip & audiogram — how to make it with code and an AI agent

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.

A podcast moment for the feed: the waveform, the captions, who is speaking, where to listen.

Output: 1:1 or 9:16 · 30–90 s · Input: An audio clip and its transcript

To make it with AI models (footage, voice, music) instead: the step-by-step use case.

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.

Show (Logo stings, Lower thirds)

Clip (Audio visualizers, Captions & subtitles)

Speakers (Lower thirds, Layouts & grids)

Listen (CTAs & end cards)

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.