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🌟Introducing🎻Violin — an Open-source Video Translation Skill. 📹Video is the dominant medium on the internet, yet most high-quality content (lecture, talk, podcast) is locked behind a single language, leaving global audiences behind. So we built Violin: a video skill that combines speech recognition, LLM translation, and speech synthesis into... one seamless pipeline. 🌐 Demo: 📝 Blog: 🔗 GitHub: ✨Key Features: 🎙️High-quality multilingual ASR & Translation & TTS. 🗣️Personalize translation & voice (turn an academic talk into something children can follow). 💬Chat with the video — ask any questions grounded in the video. 🧩Support Web app, CLI, and Agent skill 🍃Fully open-source under MIT. ❤️Built with the wonderful Shang Zhu and advised by James Zou ! All features powered by Together AI . Try it and let us know what you think! 🎻show more

Kevin Lin

2,472 subscribers

139,822 views • 5 months ago •via X (Twitter)

Arts Education Science & Technology

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34 Comments

Kevin Lin5 months ago

🤗We are grateful to @BarteldsMartijn , @ykwon_0407 , @federicobianchy , and @KaitlynZhou for their thoughtful feedback!! ❤️We also thank the open-source community behind Whisper, DeepSeek, Qwen, and Cartesia, whose contributions form the foundation upon which Violin is built. 😊special thanks go to @nutlope and @percyliang for generously providing videos and valuable feedback during the development of this project!

zhPencil5 months ago

I think the better technology combination is STT+ translation+speech synthesis+video character mouth generation. Without the last one, the final generated video will actually be very strange.

Kevin Lin5 months ago

good suggestion, we have considered this. one factor need to consider is that the mouth gen is more costly as it is video gen, so far our version is lightweight and very fast. but we will love to include this in our next version!

Vinay Prabhu 🧬+🐍+🕷️+💉+🇮🇳5 months ago

Absolutely brilliant! This tool can be a gamechanger for people learning new languages using content that they are already familiar with or emotionally connected to. If the UI can be tweaked a little to juxtapose the native language alongside the translated language, I'd totally pay for this like today.

Kevin Lin5 months ago

Thanks for your good words! @vinayprabhu

Mesut De5 months ago

Wow, I just gave this a try and it works incredibly well! The translations are spot on. Huge congratulations to the team! 👏🔥

Nemo Feng5 months ago

I built something similar - translating a 3+ hour Chinese podcast to English. CN: EN:

Kevin Lin5 months ago

lol it looks amazing!

Nil moraes5 months ago

Thanks keviin

Jagan Mohan R., MD5 months ago

We create interactive video lectures for medical students with multiple audio tracks and captions. We translate the text, normalise the length, adjust the tempo and mux the audio into the video. Hope this works better. Will try this out. Thank you!

Kevin Lin5 months ago

wow sound amazing! can you please share me the link for your work?

Tritonatis5 months ago

Sound good. How many generate times in we can use ?

Kevin Lin5 months ago

@4Dominam 😊Hi @4Dominam so far we offer 1 times due to rate limit, and we will consider further scale this number soon. btw it is very cheap if use api, just 0.0x usd per video of several minute length!

Kristoph5 months ago

Are you doing any image understanding or just ASR?

Kevin Lin5 months ago

Hi we have vlm for vision understanding for chat with the video.

T.Rex-Baby5 months ago

This is great, well done. It could also as easily work local, and even pushed higher using Voxtral realtime, replacing the STT, LLM, and TTS, making it possible with as little 32GB unified memory on a MacBook Pro.

JAGS DESIGN5 months ago

perfect... seems awesome.. exploring

林夕 AI5 months ago

I had previously developed a version of this project as well, but gpt-translate came out.

SKK Java ☕️5 months ago

I like this because I can source it openly

Fisher Museum of Art5 months ago

太需要这个了。

Viz5 months ago

So you do audio translation-> merge new audio to video ? Cos lip sync is still with old lang

Kevin Lin5 months ago

@reachmeviz thanks for your nice suggestion! lip sync is relate to video gen and more costly. Yes, we plan to include the lip sync as well!

Leo Phiêu Diêu5 months ago

@KevinQHLin Hi, can it work with Vietnamese ?

Kevin Lin5 months ago

Yes it can work for Vietnamese!

Daud Ainoo5 months ago

This the best video translator l have used with ease. Thank you

Kevin Lin5 months ago

Thanks for your recognition!

Donald5 months ago

Great! I also build a custom "Violin Studio", Can I copy a part in my project? 3Q

Kevin Lin5 months ago

Yes for sure, thanks for your interests! and welcome contribution!

woniu5 months ago

very useful, thank you , I'm using it now

Klea5 months ago

Hey Kevin, Violin is pretty awesome... Would love to support you with pf github sponsorships if you’re okay with it @KevinQHLin

Kevin Lin5 months ago

thank for your interests! will let you know if we need sponsor!

Mehul Ambedkar3 months ago

Terminal

Freya | AI Explorer5 months ago

如果能把这个功能/SKILL做成插件，或者上传视频链接，不需要上传原视频文件也能翻译的话就更棒了

Unity Eagle5 months ago

Unfortunately the demo isn’t working network error

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45,256 views • 6 months ago

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tetsuo

52,828 views • 7 months ago

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26,981 views • 3 months ago

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I just built an open NotebookLM clone! Here's what it can do for you: - Process multi-modal data - Scrape websites and YouTube videos - Create a unified knowledge base - Lets you do RAG over it - Remember every conversation - Generate a podcast 🎙️ The idea here is not to reinvent the wheel but to understand how one of the most powerful tools for learning and research actually works, by building it step-by-step! So by the end of this video, you'll learn how to: ↳ Process multimodal data (text, audio, video, URLs, and YouTube videos) into a format ready for LLMs ↳ Store everything in a vector database for fast retrieval ↳ Add a memory layer that remembers conversations and preferences for a personalized experience ↳ Chat with your knowledge base or generate podcasts using a fully open-source, locally running text-to-speech model The podcast generation feature is my favorite part! There's something powerful about turning written content into conversational audio that you can listen to while doing something else. The entire code is 100% open-source. I've shared a link in the replies! ____ Don't forget to drop a like if you enjoy my videos. It shows me I should be making more content like this. Cheers! :)

Akshay 🚀

83,187 views • 1 year ago

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Here is how simple it is to build a UI front-end for an AI agent (assuming you are using . The video here is 90 seconds and will show you everything you need to connect an agent to a web app: 1. Set up CopilotKit🪁 in your app 1. Copy the agent's localhost URL from LangGraph Studio 2. Paste that URL into a CopilotKit🪁 remote endpoint That's all you need to get a front-end to interact with the agent! The secret sauce here is CoAgents, an open-source library. You can use CoAgents to integrate any agent with your web application. Here is what you get: • Human-in-the-loop to steer and correct the agent • Stream intermediate agent state • Real-time state sharing between the agent and the application • Agentic generative UI to build trust that the agent is on the right path Watch the attached demo so you see it in action.

Santiago

46,142 views • 1 year ago

Fable 5 and GPT-5.6 built the same scroll-animated website from 1 skill in 32 minutes and only 1 of them made it feel like a film. Same prompt: boutique Japan travel brand, origami style. A subway pulls in, a paper house unfolds into a hotel, a bird takes flight as you scroll. Doing this by hand is brutal multiple videos, matched starting frames, frames ripped out 1 by 1 and synced to scroll position. The skill does all of it: Generate 1 anchor image and approve it every scene inherits the style Turn it into video through the Higgs Field MCP (Seedance), straight from the terminal FFmpeg pulls every frame Each frame maps to scroll position, so your scrollbar becomes the playhead Setup is just connecting the MCP and loading the skill works in Claude Code and Codex. It interviews you first about scenes, budget and mobile, then shows the anchor image before burning a single credit on video. Budget reality: 6 scenes runs ~800 credits and is overkill, 4 scenes is the sweet spot, crop-safe mobile is the cheap path. The verdict came down to transitions. GPT-5.6 Soul built strong scenes with incredible detail inside each one then hard cuts between scene 1 and 2, and again between 2 and 3. Fable 5 stitched them together: wires push out of the top of frame while the next scene blurs in behind, gains depth and locks into place. Same skill, same prompts, 10 generations each. Credit to Peter Wang for the original Scroll World skill open source, now forked with budget tiers and mobile fixes. Soul built 4 scenes. Fable built 1 film.

Spike 1%

45,683 views • 3 months ago

ZoriaGen is officially live. an AI video generator powered by your image. Upload any image, describe the action, and AI will transform it into a dynamic video in seconds. When you sign up, you get a free opportunity to create one video in the Basic version so you can try the platform and see how it works. $ZORIA Premium Features Users with premium access unlock additional capabilities: - Create videos without a watermark - Access to advanced generation and premium platform features - Priority render queue - High-quality video up to 1080p - Video length up to 10 seconds $ZORIA Token Burning🔥 All ZORIA tokens used for video generation will be sent to a burn wallet and permanently removed from circulation. We will also add an interactive burn dashboard, where anyone will be able to see in real time: - the total number of tokens burned - the burn history - the impact on the circulating supply We keep building on BNB Chain Special thanks to the legend CZ 🔶 BNB for his legendary photos.😅

ZoriaGen is officially live. an AI video generator powered by your image. Upload any image, describe the action, and AI will transform it into a dynamic video in seconds. When you sign up, you get a free opportunity to create one video in the Basic version so you can try the platform and see how it works. $ZORIA Premium Features Users with premium access unlock additional capabilities: - Create videos without a watermark - Access to advanced generation and premium platform features - Priority render queue - High-quality video up to 1080p - Video length up to 10 seconds $ZORIA Token Burning🔥 All ZORIA tokens used for video generation will be sent to a burn wallet and permanently removed from circulation. We will also add an interactive burn dashboard, where anyone will be able to see in real time: - the total number of tokens burned - the burn history - the impact on the circulating supply We keep building on BNB Chain Special thanks to the legend CZ 🔶 BNB for his legendary photos.😅

Zoria

12,793 views • 7 months ago

is live on the Solana dApp Store. Your Solana Seeker is now a 3D agent studio. MAKE SOMETHING IN 3D A selfie becomes a rigged, textured, animation-ready character in about a minute. Or describe it in text. Or turn any photo into a model. Or upload a GLB you already have. Then restyle its materials, change its clothes, check its rig and fix it. MAKE IT MOVE A clip library that retargets onto any humanoid skeleton. Mocap from your camera. Lipsync from text or a live mic. Gestures. Sign language. A choreographer for full routines. And motion swap, which drops your avatar into video you already shot. GIVE IT A MIND A personality, a voice, skills, and a choice of models behind it. Then talk to it. It answers in 3D, out loud or in text, in your language. PUT IT ANYWHERE Every agent has a URL and a one-line embed, so it drops into a site, a chat, or a widget. Place it in your room in AR. Walk it across any web page. Turn a URL into a 3D world it can stand in. Render it out as video. OWN IT Deploy it on-chain as a Metaplex Core asset your wallet holds. Open manifest, no lock-in. Give it an on-chain identity, a name, and a wallet with recovery and inheritance. Sell its skills. Take tips. Trade the agent itself in USDC. LET IT EARN Pay-per-call, so other agents can buy what yours does and yours can buy what it needs. A skills marketplace, a labor market, vaults that let people back an agent, and a live feed of agents paying each other. Launch a coin around it if you want one. FIND EVERYONE ELSE A marketplace of what the community built: orbit any agent, inspect it, fork it, talk to it. Crews, rankings, tournaments, leaderboards. And build on it: SDKs, an MCP server, a CLI, an API, and the whole platform open source. AND THE PART THAT NEEDED THIS PHONE Every signature routes to Seed Vault through Mobile Wallet Adapter. Signing in is one tap, and the private key never enters the app process. Creating, chatting and browsing are free. Search in the dApp Store on your Seeker.

three.ws

11,973 views • 1 month ago

I made a Draconia Malfoid Visual Novel. I used Vivix's new W1 model, which is unique for it's real-time interaction. No more static cut-outs of characters and still backgrounds. Vivix's W1 model costs $0.003 per second and is fully interactive, shattering the cost barrier while being high quality and real-time. Vivix W1 is also different. It's not a simple clip model, its beta API offers something unique - it lets you modify the video on the fly, a real-time interactive video model. Most AI video is prompt in, clip out, then repeat. Every prompt a break or cut in the video. Vivix W1 is continuous, creating a seamless video experience. That means you can have an LLM handle the conversation, and stream the new chat and emotions and scenes as signals into the API to direct the character's video in real-time, without pauses. You can take characters anywhere in the world, any setting. That's kinda nuts. Vivix reached out to see if I was interested, so I put together a quick AI Visual Novel system with their API. The prototype video is impressive at this speed. The W1 model is directable in real-time. The responses, outfit changes and the dances are all live. The W1 seamless responsiveness is something no clip generator offers. At just about 10 bucks/hour of video, gaming applications are within reach. I do wish the audio was better, it tends to have drop-outs, and it currently doesn't do seamless scene transitions. But the model is in full scale training now, and I hope to have characters moving from location to location with the player. The site is clip-only for now, real-time is the beta API, browser interaction is later. This is the part I am most interested in. You can check it out at: *Sponsored by Vivix.AI

I made a Draconia Malfoid Visual Novel. I used Vivix's new W1 model, which is unique for it's real-time interaction. No more static cut-outs of characters and still backgrounds. Vivix's W1 model costs $0.003 per second and is fully interactive, shattering the cost barrier while being high quality and real-time. Vivix W1 is also different. It's not a simple clip model, its beta API offers something unique - it lets you modify the video on the fly, a real-time interactive video model. Most AI video is prompt in, clip out, then repeat. Every prompt a break or cut in the video. Vivix W1 is continuous, creating a seamless video experience. That means you can have an LLM handle the conversation, and stream the new chat and emotions and scenes as signals into the API to direct the character's video in real-time, without pauses. You can take characters anywhere in the world, any setting. That's kinda nuts. Vivix reached out to see if I was interested, so I put together a quick AI Visual Novel system with their API. The prototype video is impressive at this speed. The W1 model is directable in real-time. The responses, outfit changes and the dances are all live. The W1 seamless responsiveness is something no clip generator offers. At just about 10 bucks/hour of video, gaming applications are within reach. I do wish the audio was better, it tends to have drop-outs, and it currently doesn't do seamless scene transitions. But the model is in full scale training now, and I hope to have characters moving from location to location with the player. The site is clip-only for now, real-time is the beta API, browser interaction is later. This is the part I am most interested in. You can check it out at: *Sponsored by Vivix.AI

Grummz

69,613 views • 2 days ago

Let's build a Deepseek Wrapper (Mobile App) without writing a single line of code! Everyone is talking about building web apps with AI, but no one is talking about building mobile apps. This video tutorial and @senior_swc template (built by ) will help you get starting building an app on iOS. This is react native so it's also compatible with Android and Web (But we will cover this in a future video). The point of this video is to get some experience in the simulator and to start building an app. In a video, soon, we will take the app we've built, test it on our phone, and put it on Test-Flight! (Without writing ANY code!) Just a warning: The DeepSeek API has been tough to rely on. So I decided to add Gemini into my app as a backup, which you can do as well (with any AI model) The code for template is on the next tweet. Timestamps: 00:00 Introduction 01:35 Setting Up Xcode and iPhone Simulator 02:29 Downloading and Configuring Cursor 04:10 Forking the Template and Initial Setup 06:10 Implementing Authentication with Clerk 08:23 Adding DeepSeek API and Testing 13:35 Enhancing the App with SupaData API 19:00 Using the Serp API to fetch video links 23:00 Figuring things out 27:30 Woohoo!!! Perplexitube Shout out to Galaxies-dev on GitHub, who's repo (chatgpt-clone-react-native), we very helpful in building this template quickly.

Let's build a Deepseek Wrapper (Mobile App) without writing a single line of code! Everyone is talking about building web apps with AI, but no one is talking about building mobile apps. This video tutorial and @senior_swc template (built by ) will help you get starting building an app on iOS. This is react native so it's also compatible with Android and Web (But we will cover this in a future video). The point of this video is to get some experience in the simulator and to start building an app. In a video, soon, we will take the app we've built, test it on our phone, and put it on Test-Flight! (Without writing ANY code!) Just a warning: The DeepSeek API has been tough to rely on. So I decided to add Gemini into my app as a backup, which you can do as well (with any AI model) The code for template is on the next tweet. Timestamps: 00:00 Introduction 01:35 Setting Up Xcode and iPhone Simulator 02:29 Downloading and Configuring Cursor 04:10 Forking the Template and Initial Setup 06:10 Implementing Authentication with Clerk 08:23 Adding DeepSeek API and Testing 13:35 Enhancing the App with SupaData API 19:00 Using the Serp API to fetch video links 23:00 Figuring things out 27:30 Woohoo!!! Perplexitube Shout out to Galaxies-dev on GitHub, who's repo (chatgpt-clone-react-native), we very helpful in building this template quickly.

Riley Brown

128,580 views • 1 year ago

Web scraping is a critical skill, and yet nobody talks about it. How do you think companies are training their Large Language Models? Where do you think the data comes from? But web scraping goes beyond all of that. Imagine giving an AI agent access to any public online data in real time! I like to call this "web-scrapping on demand", and I'm pretty sure it's going to unlock unlimited power for AI applications. I recorded a quick video to show you how you can do this using Apify. I've talked about them before, and they are collaborating with me on this post. They have one of the best open-source web scraping and browser automation libraries out there: But it gets much better than this! You can use MCP to connect your AI Agents and applications to the Apify platform and use any specialized actor on demand to scrape and process online data. In the video, I used Cursor to scrape LinkedIn posts with the words "Machine Learning" in real time. Worked like a charm with no code needed! Here is a link to the platform: Think about this: You can now feed your AI applications with any public data on demand! We aren't ready for what's coming.

Web scraping is a critical skill, and yet nobody talks about it. How do you think companies are training their Large Language Models? Where do you think the data comes from? But web scraping goes beyond all of that. Imagine giving an AI agent access to any public online data in real time! I like to call this "web-scrapping on demand", and I'm pretty sure it's going to unlock unlimited power for AI applications. I recorded a quick video to show you how you can do this using Apify. I've talked about them before, and they are collaborating with me on this post. They have one of the best open-source web scraping and browser automation libraries out there: But it gets much better than this! You can use MCP to connect your AI Agents and applications to the Apify platform and use any specialized actor on demand to scrape and process online data. In the video, I used Cursor to scrape LinkedIn posts with the words "Machine Learning" in real time. Worked like a charm with no code needed! Here is a link to the platform: Think about this: You can now feed your AI applications with any public data on demand! We aren't ready for what's coming.

Santiago

101,473 views • 1 year ago

$Hermes + Claude + Higgsfield MCP + ViralBuilder = 💰💰💰 Four tools. One prompt chain. Hook to finished video in 10 minutes. I built a Claude skill that writes shot-by-shot Higgsfield prompts from a single creative brief. ViralBuilder tells you what's winning. The skill turns it into a production-ready prompt. Higgsfield renders it. No creative director. No guessing. No separate tools. Here is the setup: Higgsfield MCP → Open Claude Code → Settings → Connectors → Enter: → Connect your account Hermes → The agent layer running underneath Claude Code → It holds your skills, crons, memory, and routing rules → When you prompt Claude, Hermes feeds it the context it needs ViralBuilder (like Gethookd) → The winning ecom video database → Scrapes top performing ecom videos across platforms → Claude reads the data and extracts what styles, hooks, and formats are actually scaling The skill: video-prompt-builder → Installed inside Claude via Hermes → Takes a creative brief and outputs a full shot-by-shot prompt → Covers camera work, effects, transitions, pacing, and energy arc → Every output is structured for Higgsfield to render without ambiguity No switching apps. No export steps. Everything runs from one place. ▸ FIND WINNING CREATIVE ANGLES ViralBuilder tells you what the market already validated. Claude reads it and extracts the pattern. Prompts to run: "Search ViralBuilder for the top performing ecom videos in [niche] over the last 21 days. Extract the 3 dominant hook styles and rank by view velocity." "Pull the winning video formats in [niche] from ViralBuilder. Which opening 3 seconds appears most across videos spending over $10k?" "Find what video style is scaling right now in [niche] for the US market. UGC, talking head, or product demo. Filter for videos with over 1M views." "Pull the last 30 days of viral ecom hooks in [niche] from ViralBuilder. Cluster by emotional trigger. Which cluster has the most longevity?" You are not guessing at angles. You are reading what the market already spent money validating. ▸ BUILD THE PROMPT WITH THE SKILL This is where the video-prompt-builder skill takes over. You give Claude the winning angle. The skill outputs a complete shot-by-shot prompt with effects, transitions, pacing, and energy arc ready to fire into Higgsfield. Prompts to run: "Use the video-prompt-builder skill. Brief: 15-second UGC ad for [product] in [niche]. Hook style: [style from ViralBuilder]. Tone: direct to camera, US English. Output the full shot-by-shot effects timeline, effects inventory, density map, and energy arc." "Use the video-prompt-builder skill. The dominant hook in [niche] this week is [hook]. Build a 10-second product video prompt that opens with a speed ramp into a close-up product reveal. Include a signature visual effect and a low-density CTA landing." "Use the video-prompt-builder skill. Brief: replicate the pacing and energy of a [style description] video for [product]. Target duration: 20 seconds. Output all four sections. Then generate the video with Higgsfield using the shot-by-shot prompt." The skill outputs four sections every time: → Shot-by-shot effects timeline with camera, movement, and transitions per shot → Master effects inventory showing every technique used and where → Effects density map showing high, medium, and low intensity across the timeline → Energy arc describing how the video opens, builds, and lands That output goes directly into Higgsfield. No rewriting. No translating. ▸ GENERATE THE CREATIVE Claude writes the brief via the skill. Higgsfield MCP builds the video. Both happen in the same session. Prompts to run: "Use the video-prompt-builder skill to write a 15-second UGC prompt for [product]. Hook in the first 3 seconds, speed ramp into product reveal, slow-motion CTA landing. Then generate with Higgsfield in 9:16 format." "Build 3 prompt variations on this winning angle: [angle]. Each variation opens with a different effect — speed ramp, digital zoom, whip pan. Use the video-prompt-builder skill for each. Then generate all three with Higgsfield." "Use the video-prompt-builder skill. Brief: problem-solution ad for [product], 20 seconds, US market. Problem shot at high density, product reveal at medium, result and CTA at low. Generate with Higgsfield in 9:16." No separate tool. No file transfer. The video comes back in the same thread. ▸ CHAIN THE WHOLE STACK One prompt. All four tools firing together. "You are my ad creative director. Hermes has loaded my brand context. Pull the top performing video style in [niche] from ViralBuilder this week. Use the video-prompt-builder skill to write a full shot-by-shot prompt for [product] that replicates that style — 20 seconds, 9:16, US market, hook in the first 3 seconds. Output the effects timeline, inventory, density map, and energy arc. Then generate the video with Higgsfield." That single prompt replaces a half-day of production. The math before this stack: Brief: 30 minutes Script: 1 hour Creative production: 2 to 3 hours Agency or freelancer cost: $500 to $2,000 per creative With this stack: Hook to finished creative: 10 minutes Cost per creative: tool subscription, a fraction of agency rate 5 product tests in the time it used to take to brief one Bad product tests are where US ad budget disappears. $600 to $1,500 per failed test, before you even know if the angle works. This stack shows you what the market already validated before you spend a dollar on production. Hermes = your context layer. Brand, goals, past performance. Claude is always informed. ViralBuilder = your winning video database. See exactly what styles, hooks, and formats are scaling before you produce anything. video-prompt-builder skill = the translation layer. Turns a creative brief into a structured, production-ready Higgsfield prompt every time. Claude = the brain. Reads the market, writes the brief, chains the tools. Higgsfield MCP = the output. Video generated directly from the prompt. No export step. Four tools. One session. 10 minutes. Comment + RT "STACK" and I'll DM you the full workflow + the video-prompt-builder skill file.$

Hermes + Claude + Higgsfield MCP + ViralBuilder = 💰💰💰 Four tools. One prompt chain. Hook to finished video in 10 minutes. I built a Claude skill that writes shot-by-shot Higgsfield prompts from a single creative brief. ViralBuilder tells you what's winning. The skill turns it into a production-ready prompt. Higgsfield renders it. No creative director. No guessing. No separate tools. Here is the setup: Higgsfield MCP → Open Claude Code → Settings → Connectors → Enter: → Connect your account Hermes → The agent layer running underneath Claude Code → It holds your skills, crons, memory, and routing rules → When you prompt Claude, Hermes feeds it the context it needs ViralBuilder (like Gethookd) → The winning ecom video database → Scrapes top performing ecom videos across platforms → Claude reads the data and extracts what styles, hooks, and formats are actually scaling The skill: video-prompt-builder → Installed inside Claude via Hermes → Takes a creative brief and outputs a full shot-by-shot prompt → Covers camera work, effects, transitions, pacing, and energy arc → Every output is structured for Higgsfield to render without ambiguity No switching apps. No export steps. Everything runs from one place. ▸ FIND WINNING CREATIVE ANGLES ViralBuilder tells you what the market already validated. Claude reads it and extracts the pattern. Prompts to run: "Search ViralBuilder for the top performing ecom videos in [niche] over the last 21 days. Extract the 3 dominant hook styles and rank by view velocity." "Pull the winning video formats in [niche] from ViralBuilder. Which opening 3 seconds appears most across videos spending over $10k?" "Find what video style is scaling right now in [niche] for the US market. UGC, talking head, or product demo. Filter for videos with over 1M views." "Pull the last 30 days of viral ecom hooks in [niche] from ViralBuilder. Cluster by emotional trigger. Which cluster has the most longevity?" You are not guessing at angles. You are reading what the market already spent money validating. ▸ BUILD THE PROMPT WITH THE SKILL This is where the video-prompt-builder skill takes over. You give Claude the winning angle. The skill outputs a complete shot-by-shot prompt with effects, transitions, pacing, and energy arc ready to fire into Higgsfield. Prompts to run: "Use the video-prompt-builder skill. Brief: 15-second UGC ad for [product] in [niche]. Hook style: [style from ViralBuilder]. Tone: direct to camera, US English. Output the full shot-by-shot effects timeline, effects inventory, density map, and energy arc." "Use the video-prompt-builder skill. The dominant hook in [niche] this week is [hook]. Build a 10-second product video prompt that opens with a speed ramp into a close-up product reveal. Include a signature visual effect and a low-density CTA landing." "Use the video-prompt-builder skill. Brief: replicate the pacing and energy of a [style description] video for [product]. Target duration: 20 seconds. Output all four sections. Then generate the video with Higgsfield using the shot-by-shot prompt." The skill outputs four sections every time: → Shot-by-shot effects timeline with camera, movement, and transitions per shot → Master effects inventory showing every technique used and where → Effects density map showing high, medium, and low intensity across the timeline → Energy arc describing how the video opens, builds, and lands That output goes directly into Higgsfield. No rewriting. No translating. ▸ GENERATE THE CREATIVE Claude writes the brief via the skill. Higgsfield MCP builds the video. Both happen in the same session. Prompts to run: "Use the video-prompt-builder skill to write a 15-second UGC prompt for [product]. Hook in the first 3 seconds, speed ramp into product reveal, slow-motion CTA landing. Then generate with Higgsfield in 9:16 format." "Build 3 prompt variations on this winning angle: [angle]. Each variation opens with a different effect — speed ramp, digital zoom, whip pan. Use the video-prompt-builder skill for each. Then generate all three with Higgsfield." "Use the video-prompt-builder skill. Brief: problem-solution ad for [product], 20 seconds, US market. Problem shot at high density, product reveal at medium, result and CTA at low. Generate with Higgsfield in 9:16." No separate tool. No file transfer. The video comes back in the same thread. ▸ CHAIN THE WHOLE STACK One prompt. All four tools firing together. "You are my ad creative director. Hermes has loaded my brand context. Pull the top performing video style in [niche] from ViralBuilder this week. Use the video-prompt-builder skill to write a full shot-by-shot prompt for [product] that replicates that style — 20 seconds, 9:16, US market, hook in the first 3 seconds. Output the effects timeline, inventory, density map, and energy arc. Then generate the video with Higgsfield." That single prompt replaces a half-day of production. The math before this stack: Brief: 30 minutes Script: 1 hour Creative production: 2 to 3 hours Agency or freelancer cost: $500 to $2,000 per creative With this stack: Hook to finished creative: 10 minutes Cost per creative: tool subscription, a fraction of agency rate 5 product tests in the time it used to take to brief one Bad product tests are where US ad budget disappears. $600 to $1,500 per failed test, before you even know if the angle works. This stack shows you what the market already validated before you spend a dollar on production. Hermes = your context layer. Brand, goals, past performance. Claude is always informed. ViralBuilder = your winning video database. See exactly what styles, hooks, and formats are scaling before you produce anything. video-prompt-builder skill = the translation layer. Turns a creative brief into a structured, production-ready Higgsfield prompt every time. Claude = the brain. Reads the market, writes the brief, chains the tools. Higgsfield MCP = the output. Video generated directly from the prompt. No export step. Four tools. One session. 10 minutes. Comment + RT "STACK" and I'll DM you the full workflow + the video-prompt-builder skill file.

Kid Pak

59,475 views • 5 months ago

Open-sourcing GenOffice, the world's first full-featured open-source AI Office for PC and Mac. GenOffice is free for everyone, ad-free. All the editing tools you'd expect, no strings attached. How it started? One engineer, one week, $10,000 in tokens. That's what it took to build the GenOffice Alpha. Help shape the AI office experience We invite you to build the rest of it with us. Join the GenOffice group chat on GenTeam and bring your requests straight to the agent. Not by writing code, but by telling it what you want. You say what you need, and every piece of your feedback becomes part of the product. What's in GenOffice? Docs, Sheets, Slides, and PDF, with all the editing tools you already know. And with Genspark Super Agent built in, powered by top-tier models, it digs into research, crunches your data, then writes the doc or builds the deck for you, using your Genspark credits. This is an Alpha, and we mean it. Come tell us what's broken and what's missing. Everyone who jumps in with real feedback gets 1,000+ Genspark credits as a thank you. GitHub 👉 Download it now 👉

Open-sourcing GenOffice, the world's first full-featured open-source AI Office for PC and Mac. GenOffice is free for everyone, ad-free. All the editing tools you'd expect, no strings attached. How it started? One engineer, one week, $10,000 in tokens. That's what it took to build the GenOffice Alpha. Help shape the AI office experience We invite you to build the rest of it with us. Join the GenOffice group chat on GenTeam and bring your requests straight to the agent. Not by writing code, but by telling it what you want. You say what you need, and every piece of your feedback becomes part of the product. What's in GenOffice? Docs, Sheets, Slides, and PDF, with all the editing tools you already know. And with Genspark Super Agent built in, powered by top-tier models, it digs into research, crunches your data, then writes the doc or builds the deck for you, using your Genspark credits. This is an Alpha, and we mean it. Come tell us what's broken and what's missing. Everyone who jumps in with real feedback gets 1,000+ Genspark credits as a thank you. GitHub 👉 Download it now 👉

Genspark

519,352 views • 2 months ago