Agent skill

Noti Tiktok Full Text

by notivn in 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.

MITAuto-check passedMedia & Creative

Install Noti Tiktok Full Text

skills CLI
$ npx skills add notivn/AIEV --skill noti-tiktok-full-text -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install notivn/AIEV noti-tiktok-full-text --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/notivn/AIEV.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/noti-tiktok-full-text .claude/skills/noti-tiktok-full-text && rm -rf skills-src

Use ~/.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/

Facts

Skill name
noti-tiktok-full-text
GitHub stars
127
Token cost
~4.8k tokens
SKILL.md length
2,361 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
MIT

At a glance

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.

  • Works in 4 steps: Font "Be Vietnam Pro" or "Inter"… → , , font-display: block. → End the fallback chain with a font that… → …
  • The user brings a transcript + paper page images + figures and wants a paper dissection/explainer video
  • SKILL.md covers ⚖️ STYLE DESIGN - PRIORITY…, ROLE, OUTPUT SPEC and ⚠️ VIETNAMESE FONT - NO…, plus 13 more sections
  • Calls npx, ffmpeg and winget; reaches fonts.googleapis.com

What it does

Noti Tiktok Full Text is an agent skill from 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. N text scenes + PDF paper-page scenes, every piece of text a real HTML element (reveal/count-up/red highlight), animated captions, stat callouts, comparison tables, pull-quotes. Picks sound effects itself by content + timestamp from the assets/sound-effects/ library (tag hay-dung) and wires them into the video. The fix for Vietnamese text losing diacritics is…

Its SKILL.md is about 4.8k 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 Motion graphics, Video production and Web animation and motion. It works with TikTok, HeyGen and GSAP. 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.

When your agent uses it

  • The user brings a transcript + paper page images + figures and wants a paper dissection/explainer video
  • Tasks that involve Motion graphics
  • Tasks that involve Video production

Example prompts

  • “MỔ XẺ PAPER AI”
  • “/noti-tiktok-full-text”

Requirements

  • Node.js

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Font "Be Vietnam Pro" or "Inter" vietnamese subset, display=block. Embed via Google Fonts - the HyperFrames renderer fetches + caches it…
  2. , , font-display: block.
  3. End the fallback chain with a font that has diacritics: font-family: "Be Vietnam Pro","Inter",sans-serif; - do NOT end on a bare sans-serif.
  4. This test string must render 100% correctly: Vấn đề: càng siết càng tệ - ƯỢ Ễ Ỹ ặ ậ ề thiết kế ngữ cảnh. If you see boxes or missing…

What it can do on your machine

Read from SKILL.md and the folder at commit e40fe03. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • npx
    • ffmpeg
    • winget
    • npm

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • fonts.googleapis.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Noti Tiktok Full Text loads about 4.8k tokens when it runs. Until then it costs about 166 tokens; SKILL.md has 2,361 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~166
When it runs · the whole SKILL.md, loaded when a task matches
~4.8k

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from notivn/AIEV at commit e40fe03, republished under its MIT licence (© notivn). 2,361 words, ~4,794 tokens.

Download SKILL.mdSave it as .claude/skills/noti-tiktok-full-text/SKILL.md (or your agent's skills folder).
name
noti-tiktok-full-text
description
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. N text scenes + PDF paper-page scenes, every piece of text a real HTML element (reveal/count-up/red highlight), animated captions, stat callouts, comparison tables, pull-quotes. Picks sound effects itself by content + timestamp from the `assets/sound-effects/` library (tag `hay-dung`) and wires them into the video. The fix for Vietnamese text losing diacritics is built in. Use when the user brings a transcript + paper page images + figures and wants a paper dissection/explainer video.

TikTok Full-Text - the "MỔ XẺ PAPER AI" explainer (Noti.vn)

⚖️ STYLE DESIGN - PRIORITY RULE (read this first)

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 values, the default gradient...). Keep only: animation technique, layout, cutting rhythm, render workflow, the bug fixes. Illustrations generated through /api/illustrations must pass the correct styleId in the prompt. NO Style Design section → use the 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.

Build a Vietnamese vertical explainer with HyperFrames (HTML/CSS/JS + GSAP → MP4). All text is a real HTML element so it can be animated and stays razor sharp. There are text scenes and PDF paper-page scenes.

⚡ Read this whole file before building. Every ⚠️ section is a bug already hit & already fixed - do NOT repeat it. Project structure: scaffold with npx hyperframes init, then follow the layout in the video-pipeline skill (index.html + compositions/ + assets/ + renders/ + hyperframes.json + meta.json). (video-projects/sapo/ is an example project on the author's machine, NOT shipped with the repo - video-projects/ is gitignored.)


ROLE

HyperFrames video editor. Compose HTML/CSS/JS, animate with GSAP, render a vertical MP4. Genre: "MỔ XẺ PAPER AI" - a vertical explainer, Noti.vn style.

OUTPUT SPEC

  • 9:16 - 1080×1920, 30fps.
  • N scenes (12 by default). Each scene = its own HTML sub-composition (<template> + data-composition-src), declaring data-start/data-duration/data-track-index.
  • Safe zone: important text + captions inside the central 1080×1400 area, leaving 15% at the bottom (~288px) + the right corner (~130px). Put captions at bottom: ~372px.

⚠️ VIETNAMESE FONT - NO MISTAKES ALLOWED (tofu / missing diacritics)

  1. Font "Be Vietnam Pro" or "Inter" vietnamese subset, display=block. Embed via Google Fonts - the HyperFrames renderer fetches + caches it and injects a deterministic @font-face on its own:
    html
    <link href="https://fonts.googleapis.com/css2?family=Be+Vietnam+Pro:wght@400;500;600;700;800;900&display=block&subset=vietnamese" rel="stylesheet">
  2. <meta charset="UTF-8">, <html lang="vi">, font-display: block.
  3. End the fallback chain with a font that has diacritics: font-family: "Be Vietnam Pro","Inter",sans-serif; - do NOT end on a bare sans-serif.
  4. This test string must render 100% correctly: Vấn đề: càng siết càng tệ - ƯỢ Ễ Ỹ ặ ậ ề thiết kế ngữ cảnh. If you see boxes or missing marks, fix the font before anything else.
⚠️⚠️ MANDATORY FIX - GRADIENT TEXT GETTING ITS DIACRITICS CLIPPED

Text using background-clip:text; color:transparent (blue gradient headings) CLIPS TALL STACKED DIACRITICS (Ẫ Ể Ấ Ữ Ổ Ợ…) because the marks stick out above the fill box. padding-top: 0.14em IS NOT ENOUGH - it must be 0.5em. Apply it to EVERY gradient text line:

css
.heading-grad {
  background: linear-gradient(100deg,#0061ff,#00c2ff);
  -webkit-background-clip: text; background-clip: text; color: transparent;
  line-height: 1.0; padding-top: 0.5em; padding-bottom: 0.14em;
}

Plain white/solid-color text (no background-clip) does NOT have this bug - only gradient text needs fixing. When verifying: zoom 3× into the glyphs with stacked marks to check.

⚠️ Captions / multiple lines at the same spot - must NOT OVERLAP

Captions (and any text placed at the same spot) when the video is spoken continuously with no pauses: the previous line has not finished fading out when the next one fades in → they stack, the text turns to mush. Fix: PRE_ROLL = 0, the previous line goes fully off exactly when the next appears:

js
const inAts = SEGMENTS.map(s => Math.max(s.words[0].start, 0));
// fadeInAt = inAts[i];
// fadeOutAt = (i<n-1) ? Math.max(segEnd+0.02, inAts[i+1] - FADE_OUT) : segEnd + POST_HOLD;

Pull an extra frame right at the BOUNDARY between two caption lines.

⚠️ TEXT MUST BE A REAL HTML ELEMENT

  • ALL Vietnamese text (headings, figures, captions, labels, quotes) is an <h1>/<p>/<span> - do NOT bake text into images, no PNGs with text already in them.
  • Images are only used as background: the original PDF paper page (with no Vietnamese text pre-overlaid).
  • Why: you need to animate it (reveal, count-up, per-word color change) and the glyph edges stay sharp when rendered.
⚠️ Sub-compositions render IN ISOLATION

Every sub-comp (data-composition-src) renders in its own context, inheriting NOTHING from the master:

  • Every sub-comp has its own <script src=".../gsap@3.14.2/dist/gsap.min.js">.
  • Every sub-comp with text embeds its own Google font <link> (inside the <template>).
  • Do NOT use the master's :root CSS vars inside a sub-comp - use literal values (hex/gradient written out).

DESIGN SYSTEM (Noti.vn / GĐT)

Backgrounds:

  • Text scenes: dark #0A0E1A → #0F1629 (radial/linear gradient), 1–2 blue blobs (#0061ff,#00c2ff) at blur 120px drifting slowly in parallax, grain noise at opacity ~0.04, vignette.
  • Paper scenes: the PDF page on a light background, 16px radius + soft shadow; the edge drawn by box-shadow (NOT a hard border).

Color:

  • Primary text white #F5F7FA. Secondary/already-read text grey #6E7787.
  • Brand accent (heading keywords): gradient #0061ff → #00c2ff via background-clip:text (remember the 0.5em padding fix).
  • ACCENT: orange-red #FF4D2E for bad numbers, hot keywords in captions, arrows.
  • HIGHLIGHT: light red background rgba(255,77,46,0.18) with a 6px radius (replacing the yellow highlighter), animated as a left→right sweep over 0.6s with clip-path.
  • Glass card: rgba(255,255,255,0.06), backdrop-filter: blur(20px), 16–20px radius, edge drawn by box-shadow: inset 0 1px 0 rgba(255,255,255,0.18), inset 0 0 0 1px rgba(255,255,255,0.05), 0 18px 50px rgba(0,0,0,0.45).

Type: headings 800–900 (keywords in blue gradient/white); figures 900, 140–200px (bad numbers in orange-red); captions 700 + a light black text-shadow.

COMPONENTS (reusable)

  1. Page counter top left "01 / 12", grey, wide letter-spacing.
  2. Never add your own corner logo/watermark - the Remotion assembly layer stamps the Style Design logo automatically when the style has one (adding your own means two logos stacked). No "@noti.vn" text, no TikTok text; leave the bottom right corner empty.
  3. Animated caption bottom center, chunks of 3–6 words on their timestamps, one keyword in orange-red, fade+slide-up 0.25s (obeying the no-overlapping-lines rule above).
  4. Stat callout "95.8% → 58.3%": big figures at 900, the bad number in orange-red, the → arrow in orange-red, count-up as it appears.
  5. List item: a huge "01" + title + grey sub-label, with a vertical blue gradient bar on the left.
  6. Comparison table: glass rows at 14px radius, grey label on the left + big white value on the right, the key row highlighted on a light red background; stagger 0.1s.
  7. Pull-quote: a big faded " mark on top, the quote bold and centered, fading in line by line, the payoff words highlighted light red.
  8. Pill badge: "ARXIV xxxx.xxxxx" on a rounded glass background, small white uppercase text.
  9. Outro: a question + a "Drop ý kiến vào comment" button (glass pill + SVG icon), a few floating emoji.

PAPER SCENE

  • Show the real PDF page (the user supplies an image per page), slow Ken Burns zoom/pan over 6–8s. ⚠️ Wrap the <img> in a <div> and animate the WRAPPER (never animate width/top/left directly on an img/video).
  • Vietnamese heading overlay + the ARXIV pill - both real HTML elements.
  • Light red highlight over 1–2 payoff sentences: an HTML highlight box laid on top, animated with a horizontal clip-path sweep.

EFFECTS (GSAP)

  • Text reveal: y 40→0 + opacity 0→1, stagger 0.06s, ease power3.out.
  • Figures: count-up (tween 1 object + onUpdate) + scale-pop 0.9→1.03→1.
  • Light red highlight: clip-path: inset(0 100% 0 0) → inset(0 0% 0 0).
  • Scene change (blur-dissolve - verified, see the ⚠️ TRANSITION section below); paper scenes zoom-fade.
  • ⚠️ NEVER use setTimeout/Date.now()/Math.random() - GSAP timeline only (deterministic). Every animation locked to the FPS.

⚠️ SCENE TRANSITION (blur-dissolve - the pattern that works)

Standard layout: the background (ambient-bg) is one sub-comp running continuously end to end on its own track behind everything; each text scene is a transparent layer (no background of its own). Because the background is continuous, the transition only animates the text, no background crossfade needed.

  1. Every scene handles its own entrance + exit inside its own timeline. Do NOT overlap clips, do NOT switch tracks, do NOT animate wrapper opacity at the master level → this keeps the caption/SFX sync intact.
  2. The exit (end of each scene, ~0.3s before the cut) = fade + slide up + blur in a single tween, ease power2.in:
    js
    // applies to the scene's content wrapper + page counter (EXCEPT the final outro scene - no exit there)
    tl.to([sel(".sX-wrap"), sel(".counter")],
      { opacity: 0, y: -16, filter: "blur(10px)", duration: 0.32, ease: "power2.in" }, EXIT_AT);
    Set EXIT_AT so that EXIT_AT + 0.32 ≈ data-duration of the scene. Still pad with tl.set({}, {}, DUR) at the end (Law 11).
  3. The entrance (start of the next scene) = fade + staggered line-by-line reveal (already part of the standard reveal) → the eye reads it as "the old text blurs away → the new text arrives".
  4. ⚠️ This is a dissolve over a shared background, NOT a crossfade of two overlapping scenes. A true overlapping crossfade (the new scene's text appearing while the old text is still dissolving) requires alternating tracks (e.g. 2↔14) + a ~0.35s time overlap - heavier, only do it if the user asks.
  5. Captions live on their own track → they never pick up the scene blur → the subtitles stay sharp right through the transition (that is intentional, do not "fix" it).
  6. Strength: blur(8–12px). Verify: extract a frame mid exit move with an accurate seek, ffmpeg -i in.mp4 -ss <t> -frames:v 1 (put -ss AFTER -i; -ss before -i fast-seeks to a keyframe → you miss the move and wrongly conclude the blur is not running).

Show full SKILL.md (920 more words)Show less

SOUND EFFECT (SFX) - pick them yourself & wire them to timestamps

Add SFX to punctuate the video (figures, reveals, scene changes, punchlines). Take them from the pre-curated library: assets/sound-effects/ - from inside a project: ../../assets/sound-effects/. The recommended set = the entries tagged hay-dung in assets/sound-effects/library.json. Skip any entry whose file is not on disk - library.json still lists a few files that are not shipped with the repo. The exact <audio id="sfx-*"> wiring is in "Wiring technique (HyperFrames)" below.

Picking SFX yourself (by content + timestamp)
  1. Read the transcript + caption timestamps + storyboard → find the "accent points" that need sound: figures/stat count-ups, keyword reveals, a paper scene opening, the red highlight on a payoff line, hard scene changes, the outro CTA, a punchline/shock line.
  2. Map each accent point → 1 semantically fitting SFX (table below). data-start = the exact EVENT beat (the number starting its count-up / the text starting its reveal / the scene cut frame), NOT the vague start of the scene.
  3. ⚠️ Restraint: about 1 SFX every 3–6s, not one hit per line of text (it dilutes them and tires the ear). A ~60s video wants ~6–12 SFX. Vary the files, avoid repeating a single sound too densely.
  4. Present the SFX table to the user for approval (timecode | event | file | volume) together with the storyboard before wiring anything in.
Semantic map → file (in assets/sound-effects/)
Content contextFile
good numbers / score / positive reveal / correct tickding.mp3, ting.wav
money / profit / cost / "tỷ", "doanh thu", "$"ka-ching.mp3, money.mp3, buy.mp3
text/element popping in, light transitionpop.mp3
snapshot/image/screenshot / a PDF paper scene appearingcamera-snap.wav, camera-flash-1.wav
bad numbers / wrong / warning / "tệ", "giảm", "lỗi"error.mp3
shock reveal / wow / surpriseanime-wow-1.mp3
typing / code / data entrymechanical-keyboard.mp3, iphone-typing.mp3
UI click / selection / button pressclick-button.mp3, mouse-click.mp3
comedic punchline / sarcasm / light faildry-fart.mp3, fart-echo.mp3, duck-toy.mp3, jontron-what.mp3
"ăn" / swallowing / merging / consumingchomp.mp3

(.wav and .mp3 both work - the right meaning matters more than the format.)

Wiring technique (HyperFrames)
  1. Copy the chosen file into the project's assets/sfx/ (keeps the project portable - do NOT let src point outside the project folder).
  2. Each SFX = its own <audio> in the root composition, next to the narration <audio>. ⚠️ NO class="clip" on <audio> (Render Contract - it breaks audio):
    html
    <audio id="sfx-stat1" data-start="12.46" data-duration="2.0" data-track-index="6" data-volume="0.5" src="assets/sfx/ka-ching.mp3"></audio>
  3. ⚠️ Every SFX gets its OWN data-track-index (e.g. 4,5,6,…) - clips on the same track must NOT overlap in time. Narration is on track 0; SFX use tracks 4 and up (so they never collide with the visual scene tracks).
  4. ⚠️ Volume: SFX data-volume 0.4–0.6 (under the narration at 1.0) so they never bury the voice. Comedic/punch SFX can go 0.55–0.65.
  5. data-duration long enough for the SFX to finish ringing (1–3s); too short and it gets cut off. It does not need to match the scene length.

⚠️ ENVIRONMENT (Windows) + TRANSCRIPTION

  • Install FFmpeg with winget install Gyan.FFmpeg. The PATH change only applies to NEW shells → when calling npx hyperframes you must prepend the bin to $env:Path inline.
  • npm install at the repo root; npx hyperframes browser ensure.
  • ⚠️ npx hyperframes transcribe needs an external whisper-cpp + an .en English-only model → do NOT use it for Vietnamese.
  • Vietnamese transcription: faster-whisper large-v3, language="vi", word_timestamps=True (in Python: sys.stdout.reconfigure(encoding="utf-8")). Prefer device="cuda", compute_type="float16" (on a GTX 1660: twice as fast, and it frees the CPU), with a try/except fallback to device="cpu", compute_type="int8". Extract the audio: ffmpeg -i in.mp4 -vn -ac 1 -ar 16000 audio.wav. Fix Whisper's misheard proper nouns (e.g. Anthopix→Anthropic, Cloudy→Claude).

TRIMMING TO HIGHLIGHTS (if the source video is long)

ffmpeg filter_complex trim+concat several stretches into a re-encoded face.mp4; remap the word timestamps (new = orig - accumulated shift); generate captions grouped by punctuation / speech pause (gap > ~0.38s) / max 7 words.

RENDER CONTRACT (must)

  • Root: id, data-composition-id, data-start="0", data-width, data-height.
  • Any timed element needs class="clip" (EXCEPT <video>/<audio>), plus data-start/data-duration/data-track-index. Clips on the same track must NOT overlap in time (watch out for float rounding - leave a ~0.04s margin).
  • <video> must be muted; audio goes in its own <audio>. Do NOT animate width/height/top/left on a <video>/<img> - wrap it in a div and animate the wrapper (scale transforms are fine).
  • Every composition registers exactly 1 paused timeline on window.__timelines["<data-composition-id>"] (the key must match exactly). Comp duration = tl.duration(). Pad the full slot: tl.set({}, {}, DUR) at the end of every timeline (Law 11 - shorter than data-duration → black frames).

WORKFLOW

  1. The user supplies: the Vietnamese transcript + timestamps + images of the paper pages + the figures to emphasize.
  2. Split into N scenes, map the components, set data-start/data-duration. Present the storyboard to the user for approval (table: scene | duration | component | content).
  3. Pick the SFX: scan the accent points by timestamp → map files from assets/sound-effects/ (prefer the hay-dung tag in library.json) → copy into assets/sfx/ → present the SFX table to the user for approval (timecode | event | file | volume).
  4. Verify the font (test string, 1080×1920 screenshot) + confirm ALL text is a real HTML element.
  5. npx hyperframes lint (0 errors; the self-selector/google-fonts/font-face warnings are benign).
  6. Test-render 1 text scene + 1 paper scene (draft) → extract frames + zoom 3× to check the diacritics + check the caption boundaries + timing → listen back and check the SFX lands on its beat and never buries the voice → fix → render the full draft.
  7. User approves → render final with --quality standard.

COMMANDS (inside video-projects/<project>/)

powershell
$bin="...\ffmpeg-...\bin"; $env:Path="$bin;$env:Path"
npx hyperframes lint
npx hyperframes compositions
npx hyperframes render --quality draft    --output renders/draft.mp4
npx hyperframes render --quality standard --output renders/final.mp4
# verify diacritics: ffmpeg -ss <t> -i renders/draft.mp4 -frames:v 1 -vf "crop=700:340:60:260,scale=1400:680:flags=neighbor" out.png → Read out.png
# copy an SFX into the project: cp ../../assets/sound-effects/<file> assets/sfx/
# verify SFX: ffmpeg -ss <t> -i renders/draft.mp4 -t 4 -vn out.wav → listen that the SFX lands on its beat and never buries the narration

OUTPUT - hand off to the pipeline

renders/final.mp4 is NOT the finished product. Continue with the video-pipeline skill: automated QC on the draft → assemble final via the render queue (Remotion) → outputs/<id>-v<N>.mp4 → update meta.json (status + output) → thumbnail/publish. Report to the user: a timeline table: scene | duration | component | content + an SFX table: timecode | event | file | volume. Clean up the temporary draft/test files when you are done.

© notivn, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .claude/skills/noti-tiktok-full-text of notivn/AIEV.

Open the folder on GitHubat commit e40fe03

Compare with similar skills

Noti Tiktok Full Text 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.

Noti Tiktok Full Text compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Noti Tiktok Full Text this skillnotivn/AIEV127—~4.8kAutomated safety check: PassMIT
Yuv Viral Videohoodini/ai-agents-skills282—~7.5kAutomated safety check: NotesNone
HyperFrames Animationheygen-com/hyperframes60k3 repos~2.1kAutomated safety check: PassApache-2.0
ShowtimeFavioVazquez/showtime220—~3kAutomated safety check: PassMIT
Motion Adfabricioctelles/skills106—~4.1kAutomated safety check: PassApache-2.0
SVG Character Animationcalesthio/OpenMontage66k—~421Automated safety check: PassMIT

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    Produce a short motion-graphics video ad — a 15s Facebook/Instagram/TikTok spot — as a rendered MP4.

    106 GitHub stars~4.1k tokensUpdated today
    Media & CreativeAuto-check passed
  • SVG Character Animation

    calesthio/OpenMontage

    Animate SVG character rigs with GSAP, CSS transforms, Remotion frame control, and HyperFrames-compatible browser previews.

    66k GitHub stars~421 tokensUpdated 8 days ago
    Media & CreativeAuto-check passed
  • Vid Sizzle Reel

    Varnan-Tech/opendirectory

    Generates a high-energy sizzle reel or hype video (MP4) from brand assets and key messages.

    674 GitHub stars~3.9k tokensUpdated 1 mo ago
    Media & CreativeAuto-check passed

More from notivn/AIEV

All 14 skills in this repo
  • Background Music

    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.

    127 GitHub stars~1.1k tokensUpdated yesterday
    Auto-check passed
  • Color Grading

    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.

    127 GitHub stars~932 tokensUpdated yesterday
    Auto-check passed
  • Skill Authoring

    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.

    127 GitHub stars~925 tokensUpdated yesterday
    Auto-check passed
  • Noti Tiktok Vn

    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…

    127 GitHub stars~5.4k tokensUpdated yesterday
    Auto-check passed
  • 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.

    127 GitHub stars~5.7k tokensUpdated yesterday
    Auto-check passed
  • Short Form Video

    notivn/AIEV

    Build and iterate short-form vertical (9:16) videos in Hyperframes - TikTok/Reels/Shorts style.

    127 GitHub stars~5.3k tokensUpdated yesterday
    Auto-check passed

Questions about Noti Tiktok Full Text

What does Noti Tiktok Full Text do?

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. Noti Tiktok Full Text is an agent skill from notivn/AIEV.vn style.

When should I use Noti Tiktok Full Text?

Noti Tiktok Full Text fits situations like: the user brings a transcript + paper page images + figures and wants a paper dissection/explainer video; tasks that involve Motion graphics; tasks that involve Video production.

How do I install Noti Tiktok Full Text in Claude Code?

Run `npx skills add notivn/AIEV --skill noti-tiktok-full-text -a claude-code`. Or copy the skill folder (.claude/skills/noti-tiktok-full-text in notivn/AIEV) into .claude/skills/noti-tiktok-full-text in your project. Claude Code loads it when a task matches its description.

How do I install Noti Tiktok Full Text in Codex?

Run `npx skills add notivn/AIEV --skill noti-tiktok-full-text -a codex`. Or copy the skill folder (.claude/skills/noti-tiktok-full-text in notivn/AIEV) into .agents/skills/noti-tiktok-full-text in your project. Codex loads it when a task matches its description.

Can I use Noti Tiktok Full Text in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add notivn/AIEV --skill noti-tiktok-full-text -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/noti-tiktok-full-text, .gemini/skills/noti-tiktok-full-text, .github/skills/noti-tiktok-full-text and .opencode/skills/noti-tiktok-full-text in your project.

What does Noti Tiktok Full Text need to run?

Going by SKILL.md and its folder, Noti Tiktok Full Text needs the command-line tools its instructions call (npx, ffmpeg, winget and npm). Our summary lists: Node.js.

Does Noti Tiktok Full Text access the network?

SKILL.md names 1 domain. In commands or code: fonts.googleapis.com; the agent is likely to contact it when it follows the instructions. This is read from the text; nothing was executed.

Is Noti Tiktok Full Text safe to install?

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.

What licence does Noti Tiktok Full Text use?

Noti Tiktok Full Text is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Noti Tiktok Full Text use?

About 4.8k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Noti Tiktok Full Text?

Skills that share tags, products or a category with Noti Tiktok Full Text: Yuv Viral Video (hoodini/ai-agents-skills, 282 stars), HyperFrames Animation (heygen-com/hyperframes, 60k stars), Showtime (FavioVazquez/showtime, 220 stars) and Motion Ad (fabricioctelles/skills, 106 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Noti Tiktok Full Text?

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.