Claude Code Video Skill: Turn Your Agent Into a Video Maker

You already live in your terminal. You ship features, fix bugs, and tell your AI assistant what to do all day. So why are you still opening a separate web app, learning its buttons, and babysitting render queues every time you need a short video for your product?

You don't have to. With Riffkit installed as an agent skill, you can type a sentence to Claude Code or Cursor ("riff this TikTok into a video for my app") and your assistant runs the whole thing end to end. Same workflow you already use for code. New output: a post-ready short video.

What an "agent skill" actually is

Strip away the jargon. An AI assistant like Claude Code can already read files, run commands, and call tools on your behalf. A skill is just a packaged capability you hand it (a set of instructions and a backend it can call) so the assistant knows how to do a new job without you spelling out every step.

Think of it like installing a CLI tool, except the user is your AI, not you. Once Riffkit is added as a skill, Claude Code knows the verbs: take a source video, study its formula, generate new footage, weave in your product, write the captions. You stay at the level of intent ("make me a 9-second hook for this product") and the agent handles the orchestration.

The practical upshot: no new app to learn. If you can talk to your coding assistant, you can make a video. The skill works in Claude Code, Cursor, or any agent that can run skills, and it talks to the same hosted Riffkit backend the browser app uses.

Why this beats generic text-to-video

Tell a generic text-to-video model "make me a viral TikTok ad" and you get a pretty clip with no spine. No hook that earns the next second, no pacing, no reason anyone watches past frame one. That's because raw generation invents pixels; it doesn't understand why a video worked.

Riffkit starts from a video that already won. You give it a source (a TikTok link, an uploaded clip, or a template you've analyzed) and it studies the formula: the hook, the pacing, the emotional beats, the scene structure. Then it generates brand-new footage that walks a viewer through the same emotional journey, with your product woven into the story the formula calls for. It never re-uploads the source clip. If you want the deeper version of how that formula extraction works, we've written about it in recreate a viral TikTok with your product.

That's the difference. Generic tools ask you to describe a video. Riffkit asks you to point at one that already worked, and riffs it into yours. Don't copy. Riff.

What "riff this TikTok" runs under the hood

When you tell your agent to riff a video, here's the pipeline it kicks off, without you touching any of it:

• Analyze the formula. Pull the hook, beat structure, and pacing out of the source.
• Generate new footage. Brand-new scenes that match the structure, in the look you pick: real footage, cartoon, or game-style.
• Place your product and pick a voice. Add a physical item or an app screen woven into the story. Choose a character/avatar, or use Auto with no avatar at all.
• Set the language. Nine to choose from — English, Spanish, Portuguese, Indonesian, German, French, Italian, Japanese, Mandarin — with native phrasing and the right fonts, not a translated subtitle slapped on top.
• Finish it for posting. Voiceover, on-screen captions timed to the audio (burned in, no garbled boxes), a cover frame, and a caption with hashtags. Background music ducks under the voiceover.

You get back a post-ready video. The whole thing is billed by the second of finished video (a few dollars a clip) so you can tell your agent "give me three more with different hooks" and re-roll until one lands. And you get full commercial rights to what you make: yours to post, run as ads, and monetize.

Honest scope: hosted and short-form

Two things worth being straight about.

First, this is hosted. The skill is a thin layer; the rendering happens on Riffkit's backend, not on your machine. That's a feature (you don't manage GPUs or model weights) but if you're a dev who wants to self-host the whole pipeline and own the infrastructure, that's a different shape of tool. We cover that path in the OpenMontage alternative.

Second, it's short-form. Riffkit is built for the TikTok/Reels/Shorts shape: punchy, hook-driven, seconds long. It's not a timeline editor for a 20-minute YouTube video. If your job is cranking out ad creative or feeding a faceless account, that's exactly the lane.

This is also where the wider "agentic video" moment is heading: instead of clicking through editing apps, you describe the outcome and an agent assembles it. We're not claiming to have solved all of video, but for the narrow, high-volume job of turning a winning short into your own, the agent-skill workflow is genuinely faster than tab-switching into yet another dashboard.

Add the skill, talk to your agent

If you've got Claude Code or Cursor open right now, the fastest path is to add Riffkit as a skill and say what you want. No new UI, no onboarding tour. "Riff this TikTok into a video for my product, use Spanish, give me two angles", and your assistant takes it from there.

Prefer a screen with buttons? The same backend powers the browser app, so you can move between them freely. Either way, you point at a winning video and get your own back.

Start riffing: drop in a link or fire it from your terminal, and let the formula do the heavy lifting.

Get the Riffkit skill

Riffkit runs as an agent skill: point your assistant at the live skill and let it set itself up:

Read https://riffkit.ai/SKILL.md and follow the instructions to set up Riffkit.

Then just ask in plain language: "riff this TikTok into a video for my product." The skill is open source at github.com/riffkit/skill and listed on ClawdHub. Prefer buttons? The same backend runs in your browser at riffkit.ai.