HyperFrames Video Entry Point
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
Build and iterate short-form vertical (9:16) videos in Hyperframes - TikTok/Reels/Shorts style.
$ npx skills add notivn/AIEV --skill short-form-video -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install notivn/AIEV short-form-video --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/notivn/AIEV.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/short-form-video .claude/skills/short-form-video && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "short-form-video" agent skill from https://github.com/notivn/AIEV/tree/main/.claude/skills/short-form-video into .claude/skills/short-form-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "short-form-video", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/notivn/AIEV/tree/main/.claude/skills/short-form-videoType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add notivn/AIEV --skill short-form-video -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install notivn/AIEV short-form-video --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notivn/AIEV.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/short-form-video .agents/skills/short-form-video && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "short-form-video" agent skill from https://github.com/notivn/AIEV/tree/main/.claude/skills/short-form-video into .agents/skills/short-form-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "short-form-video", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add notivn/AIEV --skill short-form-video -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install notivn/AIEV short-form-video --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notivn/AIEV.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/short-form-video .cursor/skills/short-form-video && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "short-form-video" agent skill from https://github.com/notivn/AIEV/tree/main/.claude/skills/short-form-video into .cursor/skills/short-form-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "short-form-video", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/notivn/AIEV.git --path .claude/skills/short-form-video--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add notivn/AIEV --skill short-form-video -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install notivn/AIEV short-form-video --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notivn/AIEV.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/short-form-video .gemini/skills/short-form-video && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "short-form-video" agent skill from https://github.com/notivn/AIEV/tree/main/.claude/skills/short-form-video into .gemini/skills/short-form-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "short-form-video", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install notivn/AIEV short-form-videoInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add notivn/AIEV --skill short-form-video -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/notivn/AIEV.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/short-form-video .github/skills/short-form-video && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "short-form-video" agent skill from https://github.com/notivn/AIEV/tree/main/.claude/skills/short-form-video into .github/skills/short-form-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "short-form-video", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add notivn/AIEV --skill short-form-video -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install notivn/AIEV short-form-video --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notivn/AIEV.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/short-form-video .opencode/skills/short-form-video && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "short-form-video" agent skill from https://github.com/notivn/AIEV/tree/main/.claude/skills/short-form-video into .opencode/skills/short-form-video/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "short-form-video", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
short-form-videoBuild and iterate short-form vertical (9:16) videos in Hyperframes - TikTok/Reels/Shorts style.
Short Form Video is an agent skill from notivn/AIEV. Build and iterate short-form vertical (9:16) videos in Hyperframes - TikTok/Reels/Shorts style. Use when the user says "short-form video", "vertical video", "TikTok/Reels/Shorts", "make a short", "talking-head + motion graphics", or when the target is a 1080x1920 composition with face video + synced scene overlays + karaoke captions. Encodes the full May Shorts 19 playbook: face-mode choreography, audio-synced scene timing, karaoke captions, and the 10-rule quality checklist.
Its SKILL.md is about 5.3k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Media & Creative, covering Video production and Motion graphics. It works with HeyGen, TikTok and FFmpeg. The repository describes itself as: Automatic AI video editing. Claude directs HyperFrames (HTML + GSAP motion graphics) and Remotion (timeline assembly) to turn raw footage into a finished MP4 - transcript… The licence is MIT.
9 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit e40fe03. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
npxffprobeffmpegFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Short Form Video loads about 5.3k tokens when it runs. Until then it costs about 124 tokens; SKILL.md has 2,518 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from notivn/AIEV at commit e40fe03, republished under its MIT licence (© notivn). 2,518 words, ~5,273 tokens.
.claude/skills/short-form-video/SKILL.md (or your agent's skills folder).If the edit prompt contains a "STYLE DESIGN (BẮT BUỘC TUÂN THỦ 100%)" section: the palette, fonts and tone in that section COMPLETELY REPLACE every color/font/branding rule in this skill (including "dark fintech blue", the GĐT hex codes, the default gradients...). Keep only: animation technique, layout, cut rhythm, render workflow, and the bug fixes. Illustrations generated via /api/illustrations MUST pass the correct styleId in the prompt. NO Style Design section -> use this skill's default branding.
If the edit prompt ALSO contains a "PHONG CÁCH DỰNG" (video style) section: that section WINS over this skill for ALL visual and motion language - materials, transitions, camera moves, effects. This skill then keeps only PROCESS: step order, cutting, captions/keys, draft->final, QC. Do not mix the skill's default visuals into the video style - half-and-half is exactly the failure this rule exists to prevent.
Short-form = 1080x1920 vertical, 10–30s, talking-head face + motion-graphic scene overlays + karaoke captions. Everything in this skill is distilled from the May Shorts 19 iteration autopsy (v1 → v4) and should be applied on every new short.
Always invoke /hyperframes first. This skill sits on top of it - it does not replace the framework rules (data-* attributes, window.__timelines, composition structure). Those are non-negotiable regardless of the format.
<name>-edit.mp4. Measure exact duration with ffprobe - this is the composition's data-duration.npx hyperframes transcribe <edit>.mp4 --model small.en --json (English only - for Vietnamese use faster-whisper per the noti skills), or if retiming an existing build with a shift() function in captions, keep the existing captions and just shift scene starts.data-start. Each scene is its own sub-composition under compositions/scene<N>-<label>.html.Every short-form vertical has these four sub-compositions under compositions/, loaded on shared tracks:
index.html (root, 1080x1920, data-composition-id="main")
├── ambient-bg.html track-index="3" - radial gradient + drift grid + particles + vignette
├── face-wrapper + <video> track-index="0" - talking head (see face-mode choreography)
├── seam-treatment.html track-index="5" - feathers y=960 edge (bottom-half scenes only)
├── scene1-<label>.html track-index="1" - scene overlays (back-to-back, no gaps)
├── scene2-<label>.html track-index="1"
├── …
└── captions.html track-index="2" - karaoke captions, word-synceddata-duration is identical across root, ambient-bg, seam-treatment, face-video, face-audio, captions. Only scene overlays change over time.<audio> for the face is a SEPARATE element (mixer needs it), never use the video's own audio track.class="clip" goes on timed divs - NEVER on <video> or <audio>.The face lives in a wrapper div sized at the source's native landscape (1920x1080). GSAP animates the WRAPPER (never the video element - animating <video> dimensions freezes frames).
Two modes:
const BOTTOM = { x: 0, y: 1136, scale: 0.5625 }; // bottom-half, full landscape visible
const FULLSCREEN = { x: -1166.5, y: 0, scale: 1.7778 }; // cropped-cover, fills 1080x1920
const MODE_DUR = 0.32;BOTTOM renders the 1920x1080 source at 1080x607.5 centered in the bottom 960px. FULLSCREEN crops horizontally to fill the portrait frame.
Transition 0.15s BEFORE the new scene's content lands, using ease: "expo.inOut":
[
{ t: <scene-4-start>, mode: FULLSCREEN },
{ t: <scene-5-start>, mode: BOTTOM },
…
].forEach(({ t, mode }) => {
mainTl.to("#face-wrapper", { ...mode, duration: MODE_DUR, ease: "expo.inOut" }, t - 0.15);
});A face that snaps modes instantly is the single most jarring frame in a vertical video. Always interpolate.
#face-video {
filter: contrast(1.08) saturate(1.08) brightness(0.97);
}Plus a subtle 1.00 → 1.025 Ken Burns zoom over the full duration (ease: "none") and a side-vignette ::after pseudo-element so the face sinks into the surrounding navy instead of butting against a razor edge.
A navy→transparent gradient band (60–100px) at y=960 plus a 2px accent scan line with soft glow. Draw it AFTER the face so it sits on top; full-screen scenes will cover it when they take over. Razor-sharp y=960 cuts are the #2 tell for AI-edited content (after background flatness).
Problem: if audio is edited (retakes/pauses removed), timestamps in the source transcript no longer match the edited video. Scene starts authored in original-time will fire late.
The rule: ALL timing lives in edited-time. Never mix.
Verification procedure for any short-form retime:
ffprobe -v error -show_entries format=duration -of csv=p=0 assets/original.mp4
ffprobe -v error -show_entries format=duration -of csv=p=0 assets/<name>-edit.mp4shift() function in captions.html to map transcript words, treat that as the source of truth. The map shift(originalTime) = editedTime applies to EVERY scene data-start too.compositions/sceneN.html) are LOCAL relative to the scene's data-start. If a scene's parent data-start is correct in edited-time, internal offsets stay correct WITHOUT modification - UNLESS a scene straddles a cut, in which case both the parent duration AND internal offsets shift.Plan format for retimes (use this table structure every time):
| Scene | Current start | Current dur | New start | New dur | Rationale |
|---|---|---|---|---|---|
| ... | ... | ... | ... | ... | ... |
Then the face-mode array, then any internal-offset changes, then frame-verification list.
One scene = one sub-composition file. Scenes sit on the same data-track-index back-to-back (no gaps). Inside each scene:
data-duration matches the parent's slot exactlytl.set({}, {}, <data-duration>) to pad the timeline so GSAP tl.duration() matches data-durationtext-shadow, NEVER -webkit-text-stroke (renders inconsistently in Chromium render)shift() function inside captions.html to map transcript word timestamps → edited-time. This keeps the transcript JSON untouched and makes retimes mechanical.See references/captions.md under /hyperframes for the full karaoke implementation. TL;DR: per-word <span> elements with data-word-start, GSAP tweens scoped to each span, tight 0.08–0.12s pop durations.
Minimum viable background stack:
background: #07121c alone is a placeholder, not a design. For a techy/control-room aesthetic, use a 6-layer stack: HUD grid masked to vignette + circuit traces + pulse nodes + scan beam + telemetry ticker + corner mono labels.
AnalyserNode in the render path - Math.random() and real-time audio nodes break determinism.When the edit prompt has a PHONG CÁCH DỰNG (video style) section, its motion spec overrides these transition/effect rules.
BOTTOM ↔ FULLSCREEN) double as scene transitions when the mode changes between scenes.push-up, flash-through-white, sdf-iris, or the full shader-transitions pack. npx hyperframes catalog --type block to browse.Lint passing ≠ design working. Never report a short-form render done until you have extracted frames at word-exact timestamps and READ every PNG.
cd video-projects/<slug>
npx hyperframes lint
npx hyperframes render --quality draft --output renders/<slug>-vN-draft.mp4Pick 8–15 timestamps that each correspond to a SPOKEN WORD where a specific visual should be on-screen. Not round numbers. Not mid-scene. The exact word.
mkdir -p renders/frames-vN
for pair in "<t>:<label>" "<t>:<label>" ...; do
t="${pair%%:*}"; label="${pair##*:}"
ffmpeg -y -ss "$t" -i renders/<slug>-vN-draft.mp4 \
-frames:v 1 -q:v 2 "renders/frames-vN/t${t}-${label}.png"
doneCall Read on every PNG so the image loads into context. Do NOT just list filenames. For each frame confirm:
npx hyperframes render --quality standard --output renders/<slug>-vN.mp4Spot-check 3–4 frames from the final render (same timestamps, different folder frames-vN-final/) to confirm the standard-quality encode didn't change anything.
Every short-form build. Run this list during authoring, not after. When a PHONG CÁCH DỰNG (video style) section is present, its motion spec overrides the transition/effect rules below - keep the process, swap the visuals.
t ≥ target-visible t + 0.10–0.25s. Otherwise the punchline lands before the setup.video-projects/<slug>/
├── hyperframes.json
├── meta.json (id, name, dimensions 1080x1920, fps 30)
├── index.html (root composition, the 4-layer scaffold)
├── compositions/
│ ├── ambient-bg.html
│ ├── seam-treatment.html
│ ├── captions.html (with shift() function if retiming)
│ ├── scene1-<label>.html
│ ├── scene2-<label>.html
│ └── ...
├── assets/
│ ├── <name>.mp4 (original recording)
│ ├── <name>-edit.mp4 (edited - cuts removed - this is what the comp uses)
│ ├── transcript.json (whisper output)
│ └── brand assets (logo, brand-tokens.css, background music)
└── renders/
├── <slug>-v1-draft.mp4
├── frames-v1/
├── <slug>-v1.mp4
└── ...ffprobe. Delta = total cut time.data-start, data-duration, every face-mode transition t, any scene whose internal offsets straddle a cut.data-start shifted.<video> element dimensions - freezes frames. Animate wrapper div.repeat: -1 on any timeline - breaks the capture engine. Finite counts only.Math.random() or Date.now() - breaks determinism. Seeded PRNG if pseudo-random needed.<br> inside captions - natural wrapping + <br> produces extra unwanted breaks.background: #07121c flat. Layer it.Distilled from the 4 concrete problems the v1 render had and what fixed them in v2. Apply these on every new short.
A SLAM/STAMP overlay (KILLED, DEAD, STOP, etc.) lands AFTER its target text is fully visible, not during the spoken word. In may-shorts-18 v1 scene 1, CLAUDE and CHATGPT were pitched as opponents - KILLED fired at local 0.46s while CHATGPT didn't appear until 0.66s, so viewers saw "Claude … KILLED" with no visible target. The joke collapsed.
Rule: stamp_t ≥ target-text-visible_t + 0.10–0.25s. The "visible" timestamp is the END of the target's entrance animation, not its start. Word-sync is a guideline; visual reveal order is the constraint.
Default BOTTOM = { x: 0, y: 1136, scale: 0.5625 } (exact horizontal fit for a 1920×1080 source) leaves empty studio background flanking the speaker if they occupy <70% of the source frame. This is the default in may-shorts-19 and was copied into may-shorts-18 v1 - both videos had visible dead space left and right of the speaker in every BOTTOM scene.
Rule: prefer BOTTOM = { x: -180, y: 1110, scale: 0.75 } - crops 180px each side, bottom-anchors to y=1920. Preview ONE frame of BOTTOM mode against the actual source video before committing the constant. If the source speaker is tight-framed already, scale 0.65 may be enough; if the source is wide studio framing, push to scale 0.80 and re-tune x.
Always keep HIDDEN's x, y, scale identical to BOTTOM - they only differ in opacity - so the opacity-fade scenes don't drift geometrically mid-fade.
When the face changes mode between adjacent scenes, a bare 0.15s pre-roll + 0.32s duration expo.inOut on just the face wrapper reads as rigid - the outgoing scene's panels are still fully opaque behind the morphing face, so the eye sees two things fighting instead of a crossfade.
Rule: for any "hero" scene-to-scene face-mode change (especially BOTTOM ↔ FULLSCREEN), do all three:
data-start (not the default 0.15s)opacity: 0, filter: blur(6px) over 0.20–0.25s, starting 0.25s before scene endImplementation-wise, promote the face-mode transition array to per-entry dur so one transition can be longer than the others:
[ { t: 2.06, mode: FULLSCREEN, dur: 0.50 }, { t: 3.71, mode: HIDDEN, dur: 0.32 }, ... ]
.forEach(({ t, mode, dur }) => mainTl.to("#face-wrapper", { ...mode, duration: dur, ease: "expo.inOut" }, t));Three simultaneous changes = "a real editor edited this." Any one alone = rigid.
For scenes 3–5 of a 15–20s short (the "middle grind" where attention drops the hardest), lean on visuals that read as information - bar races, stat grids with counting numbers, heatmaps, sparklines, flowcharts, dashboard chrome with telemetry ticking, pain-point grids that flash red in sequence. may-shorts-18 v1 scene 4 was a radar-rings + terminal-chip + sparks combo - functional but decorative, and the user called it "bland." v2 replaced it with a 3×3 pain-point grid lighting up red-orange in sequence + a sparkline stroke-drawing with a YOU-ARE-HERE marker + the payoff slam - same time budget, much higher engagement.
Rule: pure typography-plus-icon scenes feel like slides. Data-feel scenes feel like evidence. When a middle scene feels bland, replace the decoration with something that reads as information: a small number ticking up, a bar filling, a chart stroking in, a grid flashing in sequence.
video-projects/ is gitignored, so the projects below exist only on the author's machine and are NOT shipped with the repo. Everything they demonstrate is already written out in this skill - the folder layout in "Project structure" above, the scene/caption/SFX wiring in the sections before it. Skip this section if the folders are absent; do not go looking for them.
video-projects/mcp-tiktok-2/ (author-local) - a vertical short at 1080x1920: HyperFrames scenes over footage cuts, SFX timed by frame, karaoke captions.video-projects/sapo/ (author-local) - a footage-driven short: zoom keyframes on the footage, overlays, and the SFX table kept in meta.json./hyperframes - framework rules (always first)/hyperframes-cli - CLI commands (init, lint, preview, render)/gsap - animation library reference/hyperframes-registry - installing transition blocks© notivn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in .claude/skills/short-form-video of notivn/AIEV.
Open the folder on GitHubat commit e40fe03
Short Form Video next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Short Form Video this skillnotivn/AIEV | 127 | — | ~5.3k | Automated safety check: Pass | MIT | |
| HyperFrames Video Entry Pointheygen-com/hyperframes | 60k | 3 repos | ~5.2k | Automated safety check: Pass | Apache-2.0 | |
| Black White Text OpenerPluviobyte/video-production-skills | 671 | — | ~1k | Automated safety check: Pass | None | |
| ShowtimeFavioVazquez/showtime | 220 | — | ~3k | Automated safety check: Pass | MIT | |
| Super Video MakerBomx/super-video-maker-skill | 310 | — | ~11k | Automated safety check: Notes | None | |
| Content To Videoarchitectds/modeldock | 117 | — | ~2.4k | Automated safety check: Pass | Apache-2.0 |
heygen-com/hyperframes
Entry point for making, editing and rendering videos from HTML compositions with HyperFrames, routing each request to the right workflow.
Pluviobyte/video-production-skills
Create reusable black-background white-text opening animations for new videos.
FavioVazquez/showtime
A skill your agent uses when the user wants a video made, edited or finished: a launch or promo, product demo, explainer, trailer or teaser, tutorial or walkthrough, a screen recording turned into a…
Bomx/super-video-maker-skill
End-to-end AI video production skill for agentic frameworks.
architectds/modeldock
Turn arbitrary source content (README, article, story, slides, deck, data/report, product description, tutorial text, audio/transcript, or a bare topic) into a finished, high-quality MP4 video.
KyaniteLabs/kinocut
Use Kinocut for guarded video editing, source-backed planning, FFmpeg operations, media analysis, subtitles, audio workflows, Hyperframes or Revideo rendering, repurposing packages, and release…
notivn/AIEV
Pick background music from the assets/music/ library and configure auto-ducking (music dips automatically under speech) via meta.json audio.music for the Remotion assembly layer.
notivn/AIEV
Color grading video in the AI Edit Video system - delog/tonemap HDR-HLG-log footage, apply the color preset the user approved in the UI, and the visual verification workflow.
notivn/AIEV
Build a Vietnamese vertical TikTok explainer in the "MỔ XẺ PAPER AI" (AI paper dissection) format with HyperFrames (HTML/CSS/GSAP → MP4), Noti.vn style.
notivn/AIEV
The standard for writing new skills for the AI Edit Video system - file structure, frontmatter, tone of voice, and how to accumulate production lessons into skills.
notivn/AIEV
Edit a Vietnamese vertical TikTok video (9:16) with HyperFrames following the Noti.vn/GĐT standard - talking-head + kinetic typography + karaoke captions + zoom/punch-in camera + timestamp-synced…
notivn/AIEV
Build a Vietnamese landscape 16:9 YouTube video (1920×1080) with HyperFrames (HTML/CSS/GSAP → MP4), keeping the Noti.vn/GĐT branding inherited from noti-tiktok-vn.
Categories
Build and iterate short-form vertical (9:16) videos in Hyperframes - TikTok/Reels/Shorts style. Short Form Video is an agent skill from notivn/AIEV. Build and iterate short-form vertical (9:16) videos in Hyperframes - TikTok/Reels/Shorts style.
Short Form Video fits situations like: the user says short-form video; tikTok/Reels/Shorts; talking-head + motion graphics; the target is a 1080x1920 composition with face video + synced scene overlays + karaoke captions.
Run `npx skills add notivn/AIEV --skill short-form-video -a claude-code`. Or copy the skill folder (.claude/skills/short-form-video in notivn/AIEV) into .claude/skills/short-form-video in your project. Claude Code loads it when a task matches its description.
Run `npx skills add notivn/AIEV --skill short-form-video -a codex`. Or copy the skill folder (.claude/skills/short-form-video in notivn/AIEV) into .agents/skills/short-form-video in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add notivn/AIEV --skill short-form-video -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/short-form-video, .gemini/skills/short-form-video, .github/skills/short-form-video and .opencode/skills/short-form-video in your project.
Going by SKILL.md and its folder, Short Form Video needs the command-line tools its instructions call (npx, ffprobe and ffmpeg). Our summary lists: Node.js.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Short Form Video is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 5.3k tokens (SKILL.md is roughly 21k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Short Form Video: HyperFrames Video Entry Point (heygen-com/hyperframes, 60k stars), Black White Text Opener (Pluviobyte/video-production-skills, 671 stars), Showtime (FavioVazquez/showtime, 220 stars) and Super Video Maker (Bomx/super-video-maker-skill, 310 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
notivn (a GitHub organization) maintains it in notivn/AIEV, which has 127 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 9, 2026.
Source: notivn/AIEV on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.