# Transcript-Cut Multicam Podcast — trending format for editing & clips > **For AI agents:** find the right skill in one call — `curl -s "https://varg.ai/how-to/api/search?q="` 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. Sync three cameras, cut the episode from its transcript, and add question cards and pull-quotes in code. - **Slug:** `want-transcript-cut-podcast` - **Status:** wanted - **Publisher:** Omah (community) - **Source:** https://x.com/TassyOmah_/status/2105312463172358590 - **Cost:** ~12 credits / run (estimate) — Whisper ~6 + render ~6 (catalog of 2026-10-23); the editing itself runs locally. ## What it does A long podcast edited from its transcript: three camera angles synced, cuts chosen from the text, and graphics added in code (a "Tech sales, explained" lower third, question cards such as "Which one pays better?", pull-quote cards over the speakers). Omah edited a 40-minute episode this way with Claude and Remotion and was surprised how few tokens it used. An agent transcribes with Whisper, aligns the angles by audio, switches cameras by speaker and cuts by story, renders cards and captions in HyperFrames or Remotion, and exports the long form plus vertical clips. ## Status A format people ask for that has no dedicated skill yet. Make it with the skills on the use-case pages below, or with varg directly. Example: https://x.com/TassyOmah_/status/2105312463172358590 How an agent would make it: Multicam footage → Whisper transcript → audio sync → speaker-based angle switching + text-driven cuts → lower thirds, question and quote cards in code → long-form + 9:16 clips **Models it drives:** whisper, render ## Example output https://s3.varg.ai/how-to/previews/d678d58f1d95/want-transcript-cut-podcast.mp4 — Phone video of her monitor playing the podcast Claude edited from the transcript: cuts between a two-shot and close angles, a 'Which one pays better?' question card and a pull-quote banner (11.5–19.5 s of 29 s) (credit: Omah (@TassyOmah_), https://x.com/TassyOmah_/status/2105312463172358590) ## More editing & clips skills - [Short-form FFmpeg cookbook: copyable commands for Reels](https://varg.ai/how-to/skills/short-form-ffmpeg-cookbook.md): Footage into a 9:16 MP4 with FFmpeg: crop to vertical, burn captions, trim and join, music under the voice. - [Splice AI clips into a video with FFmpeg](https://varg.ai/how-to/skills/varg-ffmpeg-mixing.md): Splice generated clips into an original video with ffmpeg without A/V drift: absolute trims, one audio track. - [Chengfeng Videocut](https://varg.ai/how-to/skills/chengfeng-videocut.md): Chinese talking-head editing: word-level transcript, five-pass flub sweep, human review in a Studio, subtitles, export. - [Claude Code Video Toolkit](https://varg.ai/how-to/skills/claude-code-video-toolkit.md): Open-source video workspace for Claude Code: script, voice, music, visuals and Remotion render on your own GPU account. - [Herk Edit Kit](https://varg.ai/how-to/skills/herk-edit-kit.md): Nate Herk's kit to edit talking-head videos, reels and Shorts: silence and flub cuts, storytelling, motion graphics. - [Clipify](https://varg.ai/how-to/skills/clipify.md): Long videos into social clips: find funny lines or impact beats, cut, reframe to 9:16, burn word-by-word captions. ## 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. - Claude Code: `claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg` (skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw: `npx skills add vargHQ/skills --skill varg-ai -a -y` - Grok and any agent that reads SKILL.md: `npx skills add vargHQ/skills --skill varg-ai`, or point it at the skill's SKILL.md - Claude.ai, ChatGPT, any MCP client: connect `https://mcp.varg.ai/mcp` - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt