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| description | Brief description of what this skill enables. Include trigger keywords that should activate this skill. Triggers on keyword1, keyword2, keyword3. |
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references/api.mdMaster prompt-engineer for photoreal, artifact-free AI still images on ANY tool (Reve, Midjourney, Flux, GPT-image, Imagen, Nano Banana, Stable Diffusion). Builds prompts that hit National-Geographic-grade realism โ true skin/fur texture (no plastic), correct anatomy/hands/faces, physically coherent light/shadows/reflections, clean legible text โ while engineering deliberate visual IMPACT (color contrast, composition, awe/adrenaline, a striking point of view). Runs a gated process: lock the point-of-view and build the 8-block Capture Stack BEFORE generating, then run a forensic pre-submit inspection against the known artifact list. Use whenever the goal is a single still image that must look REAL and hold up under close inspection โ contest entries, hero shots, product/character/wildlife/architecture/concept art, or any time AI images come out plastic, distorted, or fake. Composes with nano-banana-2 (execution) and director (motion). Hebrew triggers: ืชืืื ื, ืชืืื ืืช, ืคืืืืจืืืืืื, ืจืืืืืื, ืืืืฆืจ ืชืืื ื, ืคืจืืืคื ืืช
Award-winning director's brain for making films/videos with AI. Runs a gated, interrogation-first process: lock the IDEA and the SCRIPT (the story) in words before generating a single pixel, then plan shots/camera/light/sound, then generate and edit. Use whenever creating a video, film, teaser, trailer, promo, ad, short, reel, documentary, or narrative piece AND the storytelling must actually work โ or any time the user says the story/script keeps failing. Hebrew triggers: ืกืจืืื, ืืืืจ, ืคืจืืื, ืคืจืกืืืช, ืจืื, ืกืจื, ืชืกืจืื, ืกืืืจืืืืจื. Handles development, story, and shot-planning; composes with cinematic-ai-video and yuv-fomo-teaser (style/manipulation), hyperframes (render), nano-banana-2/ElevenLabs (assets). Backed by a 28-chapter Director's Bible in references/.
Generate unified, on-brand Instagram Reel covers for Yuval (YUV.AI Neon Phoenix system) โ the signature look is a giant Hebrew headline BEHIND the subject cutout + a punch line IN FRONT (depth effect), on rich black with a dim neural-net field, series-colored chip + phoenix mark. Use whenever Yuval asks for an Instagram/Reel/TikTok/YouTube cover, thumbnail, ืขืืืคื, ืงืืืจ, ืชืืื ืืื, cover image for a video, or wants his Instagram grid to look consistent. One command per cover; background removal included in the pipeline.
Yuval's all-in-one AI video pipeline. Turns an idea/script into a finished, on-brand MP4 by orchestrating HyperFrames (HTMLโdeterministic video render), Lottie (branded motion graphics), ManimCE (math / neural-network / concept animations), and a transcribeโapprove caption flow โ all wrapped in the YUV.AI Neon Phoenix brand via a frame.md. Use whenever Yuval wants to make, edit, or explain something as a video: promo, explainer, launch, social reel, "make a video about X", "explain X as a video", "neural network animation", "turn this into a video", captioned tutorial, 16:9 or 9:16. Triggers: video, explainer, promo, reel, manim, lottie, hyperframes, animation, "make a video", "explain ... as a video", ืืฆืืช ืืืืื, ืกืจืืื, ืืกืืจ ืืืืื. Routes each beat to the right engine, wraps in brand, self-verifies, and renders.
Build a premium cinematic landing page with mouse-scrub video hero and brand-driven narrative-arc sections. Use whenever the user provides a hero video plus a product / subject / brand and wants a landing page, promo site, product showcase, marketing page, or storytelling site. Works for any language (RTL or LTR โ Hebrew, English, Arabic, Spanish, French, Japanese, etc.) and any subject (food, tech, animals, fashion, services, SaaS, wildlife campaigns, music releases, books, real estate). The signature effect is mouse-driven video scrubbing โ the hero video lives across the entire page as a fixed backdrop, and moving the mouse left-right scrubs the video timeline so the subject responds to the cursor. Below the hero, 4-5 fully-opaque sections each carry their own brand identity (color, typography emphasis, layout pattern) and walk the viewer through a narrative arc (e.g. longing โ joy โ nostalgia โ contemplation โ action). Triggers on phrases like "build a landing page from this video", "cinematic landing pag
Edit any video into a captioned showcase โ transcribe (any language, defaults to large-v3), present a transcript_review.txt for the user to fix mishears BEFORE rendering, then build a HyperFrames composition with liquid-glass caption pills, liquid blob background, liquid morph wipes, optional behind-subject text via background removal, and render the final video. Use whenever the user provides a video file and asks to edit it, caption it, add subtitles, fix existing captions, make a reel/promo/captioned tutorial, or "do the same" pattern as a prior captioned video. Supports English, Hebrew, and any Whisper-supported language. **Renders both 16:9 (YouTube / horizontal) and 9:16 (TikTok / Instagram Reels / YouTube Shorts) from the SAME 16:9 source** โ vertical mode uses a centered footage strip with a blurred backdrop + liquid blobs and a vertical-tuned caption pill, no need to re-shoot. THE PIPELINE PAUSES FOR USER APPROVAL on the transcript before final render โ this is the support mechanism for getting capti