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รำวง Matsuri (Full Performance) from One Shot Challenge @#PonytailtoShushuTH_Busking #RoseBNK48 #LuksornBNK48 #NammonnBNK48 #ArleeBNK48 #HoopBNK48 #NallBNK48 #PraewBNK48 #SaonoiBNK48 #BNK48
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![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.](https://image.24vids.com/tw-2051138554986942894/amplify_video_thumb/2051138225176244226/img/UkrMuN_-u9qVVUtv.jpg)
![I’m thrilled to announce that we just released GraspGen, a multi-year project we have been cooking at NVIDIA Robotics 🚀 GraspGen: A Diffusion-Based Framework for 6-DOF Grasping Grasping is a foundational challenge in robotics 🤖 — whether for industrial picking or general-purpose humanoids. VLA + real data collection is all the rage now but is expensive and scales poorly for this task. For every new gripper and/or scene, you’ll have to recollect the dataset in this paradigm for the best perf. 💡Key Idea: Since grasping is such a well-defined task in simulation - why can’t we just scale synthetic data generation and train a generative model for grasping? By embracing modularity and standardized grasp formats, we can make this a turnkey technology that works zero-shot for multiple settings. GraspGen is a modular framework for diffusion-based 6-DOF grasp generation that scales across embodiment types, observability conditions, clutter, task complexity. Key Features: ✅ Multi-embodiment support: suction, parallel-jaw, and multi-fingered grippers ✅ Generalization to partial + complete 3D point clouds ✅ Generalization to single-objects + cluttered scenes ✅ Modular design uses other robotics modules and foundation models (SAM2, cuRobo, FoundationStereo, FoundationPose). This allows GraspGen to focus on only one thing - grasp generation ✅ Training recipe: grasp discriminator is trained with On-Generator data from the diffusion model - so that it learns to correct the mistakes (if any) of the diffusion generator ✅ Real-time performance (~20 Hz) before any GPU acceleration; low memory footprint 📊 Results: • SOTA on the FetchBench [Han et al. CoRL 2024] benchmark • Zero-shot sim-to-real transfer on unknown objects and cluttered scenes • Dataset of 53M simulated grasps across 8K objects from Objaverse 📄 arXiv: 🌐 Website: 💻 Code: A huge thank you to everyone involved in this journey — excited to see what the community builds on top of it! Joint work with Clemens Eppner , Balakumar Sundaralingam , Yu-Wei, Jun Yamada Wentao Yuan and other collaborators #robotics #diffusionmodels #physicalAI #simtoreal](https://image.24vids.com/tw-1947959879454318921/amplify_video_thumb/1947766918808801283/img/7x6QviN5kiWJDtYQ.jpg)
![Late in the 2016 NCAA Men's Basketball Championship, Villanova blew a 10-point lead. With 4.7 seconds left, UNC hit a 3-pointer to tie the game. Villanova's head coach, Jay Wright, called a timeout, and as his players walked to the huddle, they were all saying the same word: “Attitude.” “It's the most important aspect of our program,” Coach Wright explains in his book titled, Attitude. “We wear 'Attitude' wristbands. And when we break a huddle, we say '1, 2, 3, Attitude.'” The test of Attitude, Wright taught his players, is: “Where is your mindset after something bad happens to you?” Where is your mindset after you blow a 10-point lead? Where is your mindset after your opponent hits a 3 to tie the game with 4.7 seconds left? “When I looked into the eyes of our players,” Wright writes, “I saw no anger or regret. No one bemoaned [the UNC player's] 'lucky shot,' or that any of our guys had failed to stop him from grabbing the pass that led to that shot, or anything else.” Instead, “they were all saying, 'Attitude. Attitude. This is what we do. Attitude. This is what we do.'” With this mindset, the players returned to the court. Villanova's Kris Jenkins inbounded the ball to Ryan "Arch" Arcidiacono. Arch dribbled up the left side of the court, crossed half court, cut right towards the 3-point arc, where he underhanded a pass to Jenkins, who caught the ball with 1.3 seconds left, and, in perfect rhythm, jumped then released the ball with 0.6 seconds, and hit a buzzer-beater to win the 2016 NCAA Men's Basketball Championship. Takeaway 1: A primary indicator of physical fitness is recovery time. If you are doing all-out sprint intervals, for instance—people who are physically fit recover from one interval to the next faster than those who are not physically fit. “So then, what is mental fitness?” the mental performance coach Greg Harden likes to ask. “Mental fitness is about recovery time,” Harden says. It's about, as Coach Wright said, where your mindset is after something bad happens to you. After something bad happens, people who are mentally fit recover faster than those who are not. Takeaway 2: Just after Kris Jenkins hit the buzzer-beater, Coach Wright famously barely reacted. Before his guys went back on the court, he explained, “I processed all the potential scenarios.” Most likely, the game was going to go to overtime where UNC would ride their wave of momentum and win the game. “No matter the outcome,” Wright continued, “because of the way our players responded after UNC tied the game ["Attitude. Attitude. This is what we do."]—I felt like they had the greatest lesson in life. I felt like that was an accomplishment that would follow them through their lives.” Ryan Holiday once told me, “You have to get to a place where doing the work is the win and everything else is extra.” Wright got to that place. He had done the work to instill in his players a mindset, he said, “that they would carry with them for the remainder of their days on earth.” “In that sense, I knew we had already won.” Everything else was extra. - - - “The fact is, none of us control what happens to us in life—but we do control our responses to those circumstances...no matter how tough it gets or how much of a challenge you face in the final 4.7 seconds of a game.” — Jay Wright Follow Billy Oppenheimer for more content like this!](https://image.24vids.com/tw-1728462346371141913/amplify_video_thumb/1728462099540561920/img/43WsctxAb-oPJwSC.jpg)
