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/yuv-video-director

@f412198

Yuval's all-in-one AI video pipeline. Turns an idea/script into a finished, on-brand MP4 by orchestrating HyperFrames (HTML→deterministic video render), Lottie (branded motion graphics), ManimCE (math / neural-network / concept animations), and a transcribe→approve caption flow — 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", מצגת וידאו, סרטון, הסבר וידאו. Routes each beat to the right engine, wraps in brand, self-verifies, and renders.

Use this Skill: https://skilld.dev/gh/hoodini/ai-agents-skills/yuv-video-director

This session only. Nothing lands on disk.

referencescinematic.md

≈709 tokens on demand. Your agent reads this file only when SKILL.md points to it.

Cinematic teaser — psychological / cliffhanger / FOMO

When the brief is "Netflix teaser", "award-winning trailer", "psychological", "cliffhanger", "FOMO" — pacing is dynamic, not just fast. The power is in contrast: tension → drop → rush → hold.

The arc (worked example — the shipped 40s cinematic teaser)

0–4s   COLD OPEN   near-black, heavy vignette, the field DIM (~0.3 gain).
                   One slow statement at a time, fade-up: "Every brand has a look."
                   "None of them were built to move." (echoes the frame.md design.md→camera idea)
4–6s   GLIMPSES    3 fast DARK flashes (code · "NEURONS" · palette) w/ glitch stabs — "something's coming"
6–10s  BUILD       "What if one agent…" / "…could build the whole thing?" tension rising
10–12s HOLD        "W A T C H ." letter-spacing expands; the field starts to IGNITE (gain ramps 0.3→1)
12s    THE DROP    big chromatic flash → the REAL logo scales in + the text-to-lottie BURST blooms
                   + "YUV.AI" rainbow. The payoff. (FRAME.md "Neural-Net Phoenix Cover")
17–26s PROOF RUSH  fast slams: HYPERFRAMES · MANIM · (Manim clip beat) · LOTTIE · FRAME.MD  (FOMO)
26–31s CLIFFHANGER slow again: "An agent made this teaser." / "So can yours." (yours = pink-glow)
31–40s END CARD    logo + "LET'S FLY HIGH" + the full LINK SET + CTA pill → fade

Build → rest → drop → rush → hold → card. The drop only hits because the open was restrained.

Techniques that sell "cinematic"

  • Heavy vignette (radial-gradient … rgba(0,0,0,.72)) + film grain overlay throughout.
  • Field-ignite envelope — the neural-net field gain(t) stays low (~0.3) until the drop, then ramps to 1. Darkness first makes the bloom land.
  • One idea on screen at a time in the slow sections; dramatic holds (1–2s) on a single line.
  • The drop = chromatic flash + logo scale-in + the Lottie burst firing together on one frame.
  • Statement reveals: fade-up + slight y + (optional) blur-to-sharp; elegant, unhurried.

Non-negotiable brand must-haves (every YUV.AI video)

  1. A real, featured Lottie — generate one (don't ship a token pulse). Use the bundled ../assets/lottie-burst-generator.py → a looping phoenix burst, or author another. This is the "text-to-lottie" requirement — verify it in lottie-web.
  2. The actual phoenix logo — ../assets/logo-phoenix.png at the reveal + end card (not just the CSS field).
  3. The link end-card — logo + "LET'S FLY HIGH" + the full link set + a CTA. See brand-kit.md.
  4. Grounded in FRAME.md — its treatments (cover/statement/closing), lead/counter, glow-in-moderation, the neural-net field + phoenix.

Source: SKILL.md on GitHub

1 warning3mo3 checks · Risk SAFE
  • Gen Agent Trust Hub3mo

    The yuv-video-director skill is a comprehensive and well-architected video production pipeline for AI agents. It orchestrates HyperFrames, Lottie, and ManimCE to create professional-grade video content with synchronized captions and branded motion graphics. The skill follows standard practices for asset management, using helper scripts to fetch legitimate resources like fonts and libraries from trusted sources. No malicious patterns, obfuscation, or data exfiltration risks were identified during the analysis.

  • Socket3mo

    No alerts

  • Snyk3mo

    Risk: MEDIUM · 1 issue

Signed by skilld at f412198. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

Steadyupdated 4 months ago

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