Podcast And Audiograms
social-media-skills/skills
The audio-to-social pipeline skill -- turn a podcast episode into short, branded, captioned clips and audiograms that drive people back to the full episode.
Turn a local video into metadata, transcript, and an AI-composed card-based video where the agent freely designs and writes HTML cards in conversation.
$ npx skills add notedit/vtake-skills --skill vtake-cut -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install notedit/vtake-skills vtake-cut --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/notedit/vtake-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/vtake-cut .claude/skills/vtake-cut && 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 "vtake-cut" agent skill from https://github.com/notedit/vtake-skills/tree/main/skills/vtake-cut into .claude/skills/vtake-cut/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vtake-cut", 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/notedit/vtake-skills/tree/main/skills/vtake-cutType 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 notedit/vtake-skills --skill vtake-cut -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install notedit/vtake-skills vtake-cut --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notedit/vtake-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/vtake-cut .agents/skills/vtake-cut && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "vtake-cut" agent skill from https://github.com/notedit/vtake-skills/tree/main/skills/vtake-cut into .agents/skills/vtake-cut/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vtake-cut", 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 notedit/vtake-skills --skill vtake-cut -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install notedit/vtake-skills vtake-cut --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notedit/vtake-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/vtake-cut .cursor/skills/vtake-cut && 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 "vtake-cut" agent skill from https://github.com/notedit/vtake-skills/tree/main/skills/vtake-cut into .cursor/skills/vtake-cut/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vtake-cut", 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/notedit/vtake-skills.git --path skills/vtake-cut--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 notedit/vtake-skills --skill vtake-cut -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install notedit/vtake-skills vtake-cut --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notedit/vtake-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/vtake-cut .gemini/skills/vtake-cut && 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 "vtake-cut" agent skill from https://github.com/notedit/vtake-skills/tree/main/skills/vtake-cut into .gemini/skills/vtake-cut/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vtake-cut", 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 notedit/vtake-skills vtake-cutInstalls 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 notedit/vtake-skills --skill vtake-cut -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/notedit/vtake-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/vtake-cut .github/skills/vtake-cut && 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 "vtake-cut" agent skill from https://github.com/notedit/vtake-skills/tree/main/skills/vtake-cut into .github/skills/vtake-cut/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vtake-cut", 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 notedit/vtake-skills --skill vtake-cut -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install notedit/vtake-skills vtake-cut --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/notedit/vtake-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/vtake-cut .opencode/skills/vtake-cut && 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 "vtake-cut" agent skill from https://github.com/notedit/vtake-skills/tree/main/skills/vtake-cut into .opencode/skills/vtake-cut/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vtake-cut", 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.
vtake-cutTurn a local video into metadata, transcript, and an AI-composed card-based video where the agent freely designs and writes HTML cards in conversation.
Vtake Cut is an agent skill from notedit/vtake-skills. Turn a local video into metadata, transcript, and an AI-composed card-based video where the agent freely designs and writes HTML cards in conversation. Use when the user asks for VTake, vtake-cut, video takeaways, transcript cleanup, or AI-composed video repurposing.
Its SKILL.md is about 17k tokens, which your agent loads only when the skill is triggered. The skill folder holds 32 other files, including reference files and assets (for example `assets/vendor/gsap.min.js` and `references/DESIGN_INDEX.md`).
It sits in Media & Creative, covering Transcription and Content repurposing. The licence is MIT.
11 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit ee5b4ab. 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.
Ships script files (JavaScript, from the files we listed), which the agent can run.
Shell commands in SKILL.md call:
npxFrom the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
vtake.appw3.orgFrom URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
ELEVEN_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Vtake Cut loads about 17k tokens when it runs, and up to ~38k if it reads all its reference files. Until then it costs about 69 tokens; SKILL.md has 4,508 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 notedit/vtake-skills at commit ee5b4ab, republished under its MIT licence (© notedit). 4,508 words, ~16,796 tokens.
.claude/skills/vtake-cut/SKILL.md (or your agent's skills folder). This skill also uses 26 other files; get the full folder from GitHub.VTake converts a local input video into a card-based composition. The agent
designs the cards (timing + content) and writes each card's HTML directly
in the conversation, then assembles a single composition HTML and renders
it to MP4 via hyperframes. There is no fixed archetype list and no
prescribed card structure — the cards emerge from what the transcript
actually says.
Inspectable intermediate files in the work directory:
metadata.json — duration / width / height / fpsaudio.mp3 — extracted audiotranscript.json — segments + words with timestampsstoryboard.json — lightweight card outline (the agent's plan)public/cards/card-XX.html — one HTML fragment per cardpublic/index.html — final assembled compositionoutput.mp4 — rendered video# vtake CLI — auto-downloaded from npm on first run
npx -y @notedit/vtake@latest --help
# hyperframes — for rendering the assembled HTML to MP4
npx hyperframes render --helpEvery
vtake …command below is shorthand fornpx -y @notedit/vtake@latest ….
npx -y @notedit/vtake@latest doctor
# confirm bundled assets:
ls "<SKILL_DIR>/assets/fonts" "<SKILL_DIR>/assets/vendor/gsap.min.js"Required:
ffmpeg / ffprobe (system)<SKILL_DIR>/assets/fonts/*.woff2, <SKILL_DIR>/assets/vendor/gsap.min.js (bundled inside this skill, staged to work dir in Step 9)Optional:
ELEVEN_API_KEY — when set, vtake transcribe connects to ElevenLabs
directly and bypasses the rate-limited proxy. When not set, it falls
back to https://vtake.app/api/transcribe, which enforces 3 requests
per minute per IP. Override the proxy URL with
VTAKE_TRANSCRIBE_ENDPOINT (e.g. for local Wrangler dev).Strongly recommended on macOS for hyperframes render:
export PRODUCER_BROWSER_GPU_MODE=hardwareVIDEO_PATH="/absolute/path/input.mp4"
WORK_DIR=".vtake-work/$(basename "$VIDEO_PATH" | sed 's/\.[^.]*$//')"
mkdir -p "$WORK_DIR"npx -y @notedit/vtake@latest extract "$VIDEO_PATH" --out-dir "$WORK_DIR"Outputs: metadata.json (duration, width, height, fps) + audio.mp3.
npx -y @notedit/vtake@latest transcribe "$WORK_DIR/audio.mp3" --out-dir "$WORK_DIR" --asr elevenlabsOutput: transcript.json with { segments, words, raw }.
Rate limiting (proxy mode only — no ELEVEN_API_KEY): the server allows
3 requests per minute per IP. If you see an error starting with
rate_limited: or service_busy:, do not auto-retry — stop and tell
the user how many seconds to wait (the message includes the retry hint),
then resume from this step when they ask again.
Read transcript.json and fix obvious ASR errors:
start / end timestampssegments[].text onlywords[].word only for clear one-to-one replacementsNo CLI involved. Read transcript.json + metadata.json and design
cards directly. storyboard.json is an agent-internal planning artifact
— no vtake CLI command consumes it; it exists so you can think clearly
about timing and content before writing each card's HTML. Keep the
shape consistent with the example below so the same outline can drive
the composition you author in Step 9:
{
"schemaVersion": 3,
"composition": {
"fps": 30,
"width": 1080,
"height": 1920,
"durationSeconds": 121.2,
"layout": "portrait",
"themeId": "noir",
"seed": 42
},
"videoTrack": {
"sourcePath": "input-video.mp4",
"startSec": 0,
"endSec": 121.2,
"bounds": { "x": 0, "y": 0, "width": 1080, "height": 1920 }
},
"subtitles": { "enabled": false },
"cards": [
{
"id": "card-01",
"intent": "Hook with the speaker's anxious midnight question",
"startSec": 0.5,
"endSec": 13.0,
"accentIndex": 0,
"zone": "fullscreen",
"contentHints": {
"kicker": "AN HONEST QUESTION",
"title": "晚上 11 点的灵魂提问",
"detail": "客户六十秒语音:「人民币会升值,我的美金保单是不是亏惨了?」"
}
}
]
}Required Card fields:
| field | type | purpose |
|---|---|---|
id | string | stable id used in card HTML & GSAP selectors |
intent | string | natural-language description; fed to card synthesis |
startSec / endSec | number | times in seconds (endSec > startSec) |
accentIndex | 0 | 1 | 2 | 3 | 4 | which of the 5 theme accent colors this card pulls |
zone | enum (see below) | where on the canvas the card lives |
contentHints | object | free-form bag; agent puts kicker/title/detail/data/quote here |
archetype (optional) | string | free-form label you may attach to remember a card's pattern; absent = free-form, which is the default |
transition (optional) | enum: cut | fade | slide | wipe | declarative card-to-card transition |
Five zone values:
| zone | resolved bounds | when to use |
|---|---|---|
fullscreen | covers whole canvas | hero moments, big numbers, mantras |
whiteboard-area | inset 40px margin (or 45% of portrait height) | dense data / annotated content |
lower-third | bottom 30% band | annotation over visible video |
side-panel | right 42% (landscape) or bottom 40% (portrait) | data side, video other side |
video-overlay | full canvas, expects mostly-transparent card | annotation overlays on full-bleed video |
When you assemble the composition in Step 9, resolve each card's zone
into pixel bounds on the card-host wrapper following the table above.
Video bounds are set once at composition level (videoTrack.bounds);
to make video appear to "move between cards", author GSAP tweens against
#video-wrap in the composition's <script> (see Step 9).
No prescribed card roles, no prescribed narrative arc. Cards emerge from what the video actually says — could be all quotes or all data, could open with a number or with a story. Let the transcript drive the rhythm.
How many takeaways? — auto-infer from duration + density. No fixed upper limit. Pick a base pace from the video duration, then adjust by information density. Only floor is fixed: minimum 5 cards so even short videos have rhythm.
Step 1 — base pace by duration (the natural sec/card for medium density):
| video duration | base pace (sec per card) | rationale |
|---|---|---|
| < 60s (short reel) | 6–8s | viewers expect fast cuts in short-form |
| 60s – 3 min | 8–12s | normal social pace |
| 3 – 10 min | 12–20s | give breathing room; each card carries more |
| 10 – 30 min | 20–35s | long-form lecture / interview rhythm |
| > 30 min | 30–60s | episodic, near-chapter feel |
Step 2 — density multiplier (multiplies the base pace):
| signal in the transcript | multiplier | effect |
|---|---|---|
| High density — many numbers, distinct claims, staccato pacing, list-like enumeration, every 1–2 sentences is a new idea | × 0.7 | cuts faster, more cards |
| Medium density — mixed flow with both data and narrative | × 1.0 | base pace |
| Low density — one extended story, repeated reframing, slow reflective pacing, single argument unfolding | × 1.5 | cuts slower, fewer cards |
Step 3 — compute:
secPerCard = basePace × densityMultiplier
cardCount = max(5, round(videoDurationSec / secPerCard))Examples (notice — no upper clamp; long videos naturally produce more cards):
When a card holds longer than ~15s, plan for a richer card (data block,
multi-step reveal, several sub-points unfolding with staggered
animations) — a static one-liner gets boring past 8s. For long pieces
where many cards exceed 30s, consider chunking the timeline into
sub-compositions (one .html per chapter, mounted with
data-composition-src) so the GSAP timeline per file stays manageable
— see the timeline_track_too_dense HyperFrames lint warning.
content can be a plain string ("标题:年化 5.69%\n说明:...") or any JSON
shape that captures the data. The agent decides the shape per card.
Final card — always append card-cta-vtake.
After all content cards, add one fixed brand outro card to the cards array:
{
"id": "card-cta-vtake",
"intent": "Powered By vTake brand outro",
"startSec": <last content card's endSec>,
"endSec": <last content card's endSec + 2.0>,
"accentIndex": 3,
"zone": "fullscreen",
"contentHints": {}
}Also extend composition.durationSeconds by 2.0 seconds: set it to the same
value as card-cta-vtake.endSec. The source video's track stops at its
natural end; the 2-second tail is a pure-graphic brand moment with no video
visible behind the CTA card. The CTA card uses a 1-second cinematic entrance
sequence ("Editorial Cinema") followed by ~0.7s hold + ~0.3s fade-out.
Before you start designing cards or deciding bounds, ask the user to pick the output ratio, the layout, the style, and the card-density preset. Frames are auto-selected from the chosen layout × style combination (see "Auto-pick frame" table below). Before sending the question, precompute two things:
recommendedRatio from the source video's aspect ratio
(metadata.json width / height):
sourceAspect = width / heightsourceAspect ≥ 1.5 (≥ ~3:2 wide) → recommend 16:9sourceAspect ≤ 0.7 (≤ ~9:13 tall) → recommend 9:160.7 < sourceAspect < 1.5 (near-square) → recommend 4:5Mark the recommended option's label with " (推荐 · 匹配源视频 X:Y)" so the user sees why it's recommended.
autoCount from Step 6 (max(5, round(videoSec / (basePace × densityMultiplier)))) so the "自动" option's label can show the
concrete number.
Environment compatibility — pick the best available question channel. Not every runtime exposes the same structured-question tool. Apply this order:
AskUserQuestion (Claude Code, Anthropic Console) — use the
structured 4-question call below.ask_question,
request_user_input, IDE-specific prompt) — use that tool with the
same 4 question texts and option lists. Preserve the recommendation
markers and the precomputed values.Rules that apply to every channel:
recommendedRatio, layout="stack"
(safest cross-ratio default), style chosen from transcript tone in
the most neutral group (editorial/数据), autoCount. Tell the user
what you picked in one sentence and continue.Channel A — native AskUserQuestion:
// Precompute before the call:
// recommendedRatio = "16:9" | "9:16" | "4:5"
// autoCount = integer (from Step 6)
AskUserQuestion({
questions: [
{
question: "输出视频比例 (画幅):",
header: "画幅",
multiSelect: false,
// Reorder so the recommended option appears FIRST (per AskUserQuestion convention).
// Append " (推荐 · 匹配源视频 W×H)" to the recommended option's label.
options: [
{ label: "16:9 (1920×1080) 横屏", description: "TV / YouTube / 电脑播放。源视频已经是横屏时最自然,画幅最宽。" },
{ label: "9:16 (1080×1920) 竖屏", description: "抖音 / 小红书 / TikTok / Reels。源视频竖屏时最自然;移动端原生体验。" },
{ label: "4:5 (1080×1350) 方屏偏竖", description: "Instagram feed / 微信朋友圈。近方形源视频或想兼顾两种平台时最稳。" }
]
},
{
question: "选择整体布局:视频和卡片在画面里如何共存?",
header: "布局",
multiSelect: false,
options: [
{ label: "左右分屏 (split)", description: "video 和 card 各占画面一半。访谈 / 数据并列时最稳,画面分隔清晰。" },
{ label: "上下分屏 (stack)", description: "video 在上方 (~52%),card 在下方。说话人头像 + 总结句的经典组合,竖屏也好用。" },
{ label: "画中画 (pip)", description: "card 满屏,video 缩成圆角小窗在右上角。内容为主、speaker 为辅时用。" },
{ label: "全屏浮层 (overlay)", description: "video 全屏播放,card 作为玻璃浮层落在画面上。情绪 / 电影感强烈。" }
]
},
{
question: "选择卡片视觉风格 (style):",
header: "风格大类",
multiSelect: false,
// NOTE: these 3 groups intentionally match the frame auto-pick matrix
// rows below, so picking a group resolves both `style` group AND the
// frame matrix column in one step. Memberships are mutually exclusive.
options: [
{ label: "温暖纸感 (warm-paper)", description: "academic 学术笔记 · editorial 大字编辑 · whiteboard 手写白板 · xhs 小红书。适合访谈反思、产品发布、生活方式、情绪故事。" },
{ label: "冷峻临床 (clinical)", description: "audit 审计杂志 · swiss 瑞士网格 · terminal CLI · minimal 现代极简。适合财报分析、调查报告、技术教程、严肃陈述。" },
{ label: "实验前卫 (experimental)", description: "geom 撞色几何 · spotlight 暗色聚光。适合短视频高光、产品发布、强烈情绪、电影质感。" }
]
},
{
question: "卡片数量 (takeaway 节奏):要切多少张?",
header: "卡片数量",
multiSelect: false,
options: [
{ label: "自动 (推荐) · 约 N 张", description: "按视频时长和信息密度自动推断 (见 Step 6 规则)。本次推断约 N 张。带 N 进 label —— N 是你刚算出的 autoCount。" },
{ label: "少量 · 约 round(N × 0.6) 张", description: "切得稀疏一点,每张卡停留更久,适合 reflective / 慢节奏。" },
{ label: "更多 · 约 round(N × 1.5) 张", description: "切得更紧凑,节奏更快,适合 staccato / 数据密集 / 短视频高光。" }
]
}
]
})关于"Other" — AskUserQuestion 会自动给"卡片数量"题加 "Other" 选项,
用户可以直接输入数字(如 "8"、"20")作为 cardCount 目标值。把输入解析为整数:
若解析成功 → 直接用该值(最少 5 张兜底);解析失败 → 退回 "自动"。
Channel B — plain-text fallback (Codex CLI, runtimes without a native question tool). Post this as one normal message, then wait for the reply. Bullet-style 1/2/3/4 keeps the reply parseable:
我需要先和你确认四个视觉决策再开始切卡片:
1) 输出比例 (画幅):
A. 16:9 横屏 (1920×1080) — TV / YouTube / 电脑播放
B. 9:16 竖屏 (1080×1920) — 抖音 / 小红书 / TikTok
C. 4:5 方屏偏竖 (1080×1350) — Instagram feed / 兼顾两端
▸ 我的推荐: <recommendedRatio> (匹配源视频 W×H = <sourceW>×<sourceH>)
2) 整体布局 (video & card 怎么共存):
A. split 左右分屏 (50/50)
B. stack 上下分屏 (video 顶, card 底)
C. pip 画中画 (card 满屏, video 圆角小窗)
D. overlay 全屏浮层 (video 全屏, card 玻璃浮层)
3) 卡片风格大类 (与 frame 自动矩阵同构,3 选 1):
A. 温暖纸感 warm-paper (academic / editorial / whiteboard / xhs)
B. 冷峻临床 clinical (audit / swiss / terminal / minimal)
C. 实验前卫 experimental (geom / spotlight)
4) 卡片数量 (takeaway 节奏):
A. 自动 (推荐) — 约 <autoCount> 张
B. 少量 — 约 round(<autoCount> × 0.6) 张
C. 更多 — 约 round(<autoCount> × 1.5) 张
D. 直接给我一个数字 (如 "8"、"20")
回复格式: "1A 2C 3B 4A" 或自然语言均可。
若你想全部用推荐默认值,回复 "默认" / "auto" / "都用推荐" 即可。Parsing the plain-text reply:
"1A 2C 3B 4A", "A C B A", "16:9 / pip / 数据 / 自动", full sentences, or 默认.After the user answers (any channel):
Resolve the output canvas from the ratio answer — these are the
exact storyboard.composition.width / height values to write:
| user choice | composition.width × height | storyboard.layout field |
|---|---|---|
16:9 | 1920 × 1080 | "landscape" |
9:16 | 1080 × 1920 | "portrait" |
4:5 | 1080 × 1350 | "portrait" (schema treats 4:5 as portrait — height > width) |
For 4:5 bounds inside references/layouts/*.html — those files
only document landscape (1920×1080) and portrait (1080×1920). For
4:5 (1080×1350) derive bounds by proportional scaling from
portrait: keep horizontal values, scale vertical values by
1350/1920 ≈ 0.703. Example: overlay portrait card =
{ x: 24, y: 1280, w: 1032, h: 564 } → 4:5 card =
{ x: 24, y: round(1280 × 0.703), w: 1032, h: round(564 × 0.703) }
= { x: 24, y: 900, w: 1032, h: 397 }.
Map the style group to a specific style by looking at the
transcript tone — pick the one that best fits, but stay inside the
user's chosen group. If you're unsure between two specific styles
inside the group, send a second AskUserQuestion with those 2–4
specific style options.
Resolve final cardCount from the density answer:
| user choice | final cardCount |
|---|---|
| 自动 (推荐) | the autoCount you already computed |
| 少量 | max(5, round(autoCount × 0.6)) |
| 更多 | round(autoCount × 1.5) (no upper clamp) |
Other = "<n>" (integer) | max(5, parseInt(n)) |
| Other = anything else | fall back to autoCount |
Auto-pick the video frame from this table (frames don't ask the user — they follow from layout × style):
| layout | warm-paper styles (academic / whiteboard / editorial / xhs) | clinical styles (audit / swiss / terminal / minimal) | experimental styles (geom / spotlight) |
|---|---|---|---|
split | polaroid | hairline | clean |
stack | polaroid | hairline | clean |
pip | clean (pip pill already has chrome) | clean | clean |
overlay | clean (full-bleed forbids deco frames) | clean | clean |
Tell the user what you chose in one sentence — ratio (+ canvas size), layout, specific style, frame, and final cardCount — then proceed with the rest of Step 7 (per-card layouts, motion patterns).
Record the five values (ratio / layout / style / frame / cardCount)
in working memory (no schema field needed); you'll reference them
while writing each card's HTML in Step 8 and while reading the
matching references/<dim>/<key>.html for tokens and structure.
If the user picks an answer via "Other" with a free-text style name not in the 10-style library, treat it as a hint to design a fresh card visual yourself, but still anchor on the chosen layout's bounds.
With ratio / layout / style / cardCount / frame locked from Step 7.0, the remaining per-card decisions are:
object-fit: cover and is clipped to #video-wrap's tween bounds.
If you want NO cropping (e.g. portrait source on landscape canvas
shouldn't get its top/bottom chopped), aim the tween at a rect that
matches the source's aspect ratio and let surrounding canvas show
through (or fill with the card / a backdrop).card.zone per card: derive from your chosen composition layout
(split → side-panel, stack → lower-third, pip → fullscreen, overlay
→ video-overlay), OR pick a different zone for one-off variants
(fullscreen for hero / quote, whiteboard-area for dense data).accentIndex per card: each card pulls one of the 5 theme accent
colors. Vary across cards for rhythm; reuse the same index when two
cards belong to the same narrative beat.data-anim kinds (see the table later) and stick to them so the
composition feels coherent.Pick from these themeId palettes (use them as --accent-N /
--bg / --text CSS variables in your composition <style> block):
| themeId | accent palette (5 colors) | board bg | text |
|---|---|---|---|
| classic | #1971c2 #e03131 #2f9e44 #e8590c #9c36b5 | #FFF9E3 (paper) | #1e1e1e |
| noir | #4cc9f0 #f72585 #4ade80 #fb923c #a78bfa | #1a1a1a | #f1f1f1 |
| mint | #0077b6 #d62828 #2d6a4f #e76f51 #7209b7 | #e8faf0 | #1b4332 |
| craft | #bf5700 #d62728 #6c757d #e9b54a #3d5a80 | #f6efe1 | #2d2d2d |
| slate | #0ea5e9 #ef4444 #22c55e #f97316 #a855f7 | #1e293b | #f1f5f9 |
| mono | #000 #555 #888 #aaa #ccc | #fff | #000 |
Available fonts (woff2 in <SKILL_DIR>/assets/fonts/, staged to work dir in Step 9): Caveat (handwriting),
LXGW WenKai TC (Chinese hand-script), Inter (modern sans), Virgil
(geometric hand). Reference via @font-face or font-family directly.
For inspiration on visual patterns, <SKILL_DIR>/references/styles/
ships 10 self-contained reference cards (academic / editorial / minimal
/ spotlight / geom / whiteboard / audit / terminal / swiss / xhs) that
you can copy as starting points — but do not feel constrained to
match any of these. Each card is your own design.
Beyond the composition-level themeId, the skill ships a richer reference
library at <SKILL_DIR>/references/ covering three orthogonal
visual dimensions you can freely mix:
Style × Layout × VideoFrame
(10) (4) (3)| dimension | keys | what it decides |
|---|---|---|
| style | academic editorial minimal spotlight geom whiteboard audit terminal swiss xhs | the card's visual language — fonts, colors, ornament, layout-within-card |
| layout | split stack pip overlay | how the source video and the card share the canvas |
| frame | clean hairline polaroid | the decorative chrome around the video element |
Read <SKILL_DIR>/references/DESIGN_INDEX.md
for the full matrix and a loose decision guide (访谈 / 产品发布 / 数据分析 /
社交剪辑 / 技术教程 / 情绪故事 …). When you decide to use a specific
style / layout / frame, Read the corresponding file:
references/styles/<key>.html — self-contained card fragment with that
style's CSS tokens (colors, fonts, padding, ornament) and a placeholder
takeaway. Copy the .card[data-card-id="ref-<key>"] style block, rename
the data-card-id to your card's id, swap the placeholder content for the
real takeaway, and you're done.references/layouts/<key>.html — exact videoBounds + cardBounds for
both landscape and portrait, with a copy-paste JSON snippet for
storyboard.json's per-card layout field.references/frames/<key>.html — decorative HTML to add as a sibling of
#video-wrap, plus placement instructions for the composition CSS.Pick style × layout × frame per card — you can change all three
between cards as long as the transitions read smoothly. A common rhythm:
open editorial × overlay × clean, switch to audit × split × hairline
for the data card, close on whiteboard × pip × polaroid.
The 10 styles are skill-side design tokens, not composition-level themes —
they don't need to be declared in storyboard.composition; they live
inside each card's HTML. The themeId field can still pick a
composition-level palette (table above) that controls page-body background
and video border chrome.
Two coordinated decisions per card define how it shares the canvas with the source video:
card.zone (declared in storyboard.json) — one of the 5 schema
values; resolve it into pixel bounds (per the table in Step 6) when
you write the card-host wrapper's inline style in Step 9.#video-wrap bounds at this card's time window (declared
imperatively in the composition's GSAP timeline) — the agent tweens
#video-wrap to a target rect for each layout transition.Schema does NOT store per-card video bounds. videoTrack.bounds is
one-time at composition level (defaults to full canvas). Video
"moving" between cards is purely a GSAP animation authored in
index.html. There is no card.layout field — earlier versions of this
doc invented one; the real schema only has card.zone.
4 composition layouts (from references/layouts/) — each is a
recipe pairing a zone with a #video-wrap tween target:
| composition layout | recommended card.zone | GSAP target for #video-wrap (landscape 1920×1080) | GSAP target for #video-wrap (portrait 1080×1920) | when to use |
|---|---|---|---|---|
split | side-panel | { left: 960, top: 0, width: 960, height: 1080 } | { left: 0, top: 960, width: 1080, height: 960 } (bottom half) | speaker + data side-by-side / 50:50 weight |
stack | lower-third | { left: 14, top: 14, width: 1892, height: 548 } (top 52%) | { left: 0, top: 0, width: 1080, height: 844 } (top 44%) | speaker on top + summary card below |
pip | fullscreen | { left: 1480, top: 760, width: 400, height: 300 } + add .framed class | { left: 690, top: 28, width: 360, height: 203 } + add .framed | content-heavy card + corner pip |
overlay | video-overlay | { left: 0, top: 0, width: 1920, height: 1080 } (full-bleed) | { left: 0, top: 0, width: 1080, height: 1920 } | cinematic / dramatic / glass card on full video |
For 4:5 (1080×1350), scale portrait y/h values by 1350/1920 ≈ 0.703
(see Step 7.0 Channel A / Channel B recommendedRatio resolution
table).
Other zone values for one-off variants (still uses card.zone; no
fake "layout" field):
zone | resolved bounds | common use |
|---|---|---|
fullscreen | covers whole canvas | hero card, video tweens to hidden/pip |
whiteboard-area | inset 40px margin (landscape) or bottom 45% (portrait) | dense data card, free margins |
lower-third | bottom 30% band | talking-head annotation |
side-panel | right 42% (landscape) or bottom 40% (portrait) | sidebar / "split" recipe |
video-overlay | full canvas; expect transparent card root | glass overlay on full-bleed video |
You can mix recipes per card — choose card.zone based on what suits
the moment, then write the GSAP tween for #video-wrap between cards.
storyboard.json is an agent-internal planning artifact — no vtake CLI
command parses it. It exists to keep your timing and content decisions
explicit before you write each card's HTML. Stick to the v3-style
shape below so the same outline drives the composition you assemble in
Step 9.
Required structure (see Step 6 for the full example):
schemaVersion: 3composition: { fps, width, height, durationSeconds, layout, themeId, seed } — note durationSeconds/fps/themeId/layout live inside composition, NOT at top levelvideoTrack: { sourcePath, startSec, endSec, bounds? } — video bounds default to full canvassubtitles: { enabled, ... }cards[] — each card has the 6 required fields: id, intent, startSec, endSec, accentIndex, zone, contentHintsRules:
composition.durationSeconds and should not overlap unless intentional (use data-track-index to control z-order when they do).contentHints. contentHints is your own structured prompt for designing the card; the rendered look is the HTML.storyboard.json — keep them in working memory and use them when authoring card HTML + GSAP tweens.Transparent card backgrounds for cards that share canvas with video.
When the GSAP tween leaves video visible behind/beside the card (overlay
recipe, pip recipe, or any card.zone = 'lower-third' | 'video-overlay'
moment), the card's .root MUST NOT paint a full opaque background —
otherwise it occludes the video. Two patterns:
/* Pattern A: transparent root, page body provides the cream backdrop */
html, body { background: var(--bg); }
.card[data-card-id="card-X"] .root { background: transparent; }
/* Pattern B: explicit per-card background ONLY for fullscreen cards */
.card[data-card-id="card-hero"] .root { background: var(--bg); }
.card[data-card-id="card-overlay"] .root { background: transparent; }For side-panel-zone cards (split recipe), the card-host is already
only half the canvas, so an opaque card bg is fine — it only covers its
half.
Create $WORK_DIR/public/cards/{card-id}.html for each card. Each file
contains a single rooted HTML fragment that follows this contract:
<div class="card" data-card-id="{cardId}">
<style>
/* MUST: every rule starts with .card[data-card-id="{cardId}"] */
.card[data-card-id="card-01"] .root {
width: 100%; height: 100%;
display: flex; ...;
font-family: 'Caveat', 'LXGW WenKai TC', serif;
color: var(--text);
background: var(--bg);
}
.card[data-card-id="card-01"] .title { font-size: 84px; ... }
</style>
<div class="root">
<h1 id="card-01-title"
data-anim="kinetic-chars"
data-anim-at="0.3"
data-anim-duration="0.5"
data-anim-stagger="0.04"
data-anim-pattern="pop">
<span class="char">字</span>
<span class="char">幕</span>
</h1>
<div id="card-01-line"
data-anim="grow-x"
data-anim-at="0.65"
data-anim-duration="0.5"
data-anim-target-w="420"
style="width:0;height:8px;background:var(--accent-0);border-radius:4px;"></div>
</div>
</div>Hard rules (hyperframes lint will reject violations):
<div class="card" data-card-id="{cardId}"><style> rules MUST be prefixed with the scope selector above<script> tagssrc= / href= (no CDN, no remote fonts)onclick= etc.)public/ directoryvar(--accent-N) etc. for portability across themesAnimations are declared, not coded. Use data-anim-* attributes
only; never write <script> to animate. You compile every data-anim-*
declaration into the single master GSAP timeline in Step 9.
The 10 references/styles/*.html are sized for a 1920×1080 landscape
preview. When storyboard.layout = "portrait" (1080×1920, the dominant
case for social / mobile), scale every visual size up — phones hold
the screen close, and the same pixel count reads smaller than on a
landscape TV-style canvas.
| token | landscape baseline | portrait target | scale |
|---|---|---|---|
| title (h1/h2 hero) | 64–96px | 88–132px | ×1.35 |
| detail / body | 24–30px | 30–40px | ×1.30 |
| kicker / chip label | 14–16px | 18–22px | ×1.30 |
| timecode / meta | 12–14px | 16–18px | ×1.30 |
| data block primary number | 48–60px | 64–88px | ×1.40 |
| line-height multiplier | 1.05–1.5 | same | (don't scale) |
Rule of thumb: portraitPx = round(landscapePx × 1.3), then floor
to a nearby 4px multiple for visual rhythm. Hero headlines may go up to
×1.4; small meta text stays at ×1.2 to avoid crowding.
Padding shrinks slightly in portrait — the card is narrower so big landscape padding (40–64px) eats too much width. Use 24–36px horizontal padding in portrait.
If you're producing a single card that must work in both layouts,
prefer a @container query on the card root over hard-coding sizes:
.card[data-card-id="X"] .root { container-type: inline-size; }
.card[data-card-id="X"] .title { font-size: clamp(64px, 8.5cqi, 132px); }
.card[data-card-id="X"] .detail { font-size: clamp(24px, 3.2cqi, 40px); }But for most cards, a single layout choice is fine — just pick the size
table column that matches the storyboard's layout field.
data-anim Kinds| kind | use for | key params |
|---|---|---|
fade-in | enter | at, duration, ease? |
fade-out | exit | at, duration, ease? |
slide-in | slide enter | at, duration, from=left|right|top|bottom, distance |
kinetic-chars | per-char pop | at, duration, stagger, pattern=pop|fade — element needs <span class="char"> children |
typewriter | per-char fade | same as kinetic-chars but slower default stagger |
count-up | animate number | at, duration, from, to, format=.0f|.1f|.2f|,d |
draw-path | SVG path reveal | at, duration — element should be a <path> |
grow-y | bar height | at, duration, target-h (px) — element starts height:0 |
grow-x | bar width | at, duration, target-w (px) — element starts width:0 |
scale-pop | pop entrance | at, duration |
blur-in | unfocused → focused | at, duration |
mask-reveal | clip reveal | at, duration, direction=left|right|top|bottom |
morph-to | tween any CSS | at, duration, props='{...JSON...}' |
data-anim-at is seconds relative to the card's startSec — when you
compile each declaration into the GSAP timeline in Step 9, add the
card's startSec to get the absolute time and quantize to 1/fps.
Save this fixed template as $WORK_DIR/public/cards/card-cta-vtake.html
— do not modify. Design language: "Editorial Cinema" — viewfinder corner
marks, top/bottom film-credit meta strips, a dual rotating ring around the
vT mark, a diamond-flanked divider, an italic tagline, and amber sparkle
particles. The entrance sequence completes in 1.00s; ambient breathing
(ring rotation, particle pulse) continues for the remaining ~1.0s.
<!-- public/cards/card-cta-vtake.html — FIXED TEMPLATE, do not alter -->
<div class="card" data-card-id="card-cta-vtake">
<style>
.card[data-card-id="card-cta-vtake"] .root {
width: 100%; height: 100%;
background:
radial-gradient(ellipse 60% 80% at 50% 50%, rgba(232,144,52,0.12) 0%, transparent 55%),
radial-gradient(ellipse 120% 40% at 50% 100%, rgba(201,169,97,0.10) 0%, transparent 60%),
#0D0B08;
position: relative; overflow: hidden;
container-type: inline-size;
font-family: 'Inter', ui-sans-serif, sans-serif;
color: #F5EFE1;
}
/* fractal noise overlay — kills the "plastic" look */
.card[data-card-id="card-cta-vtake"] .root::after {
content: '';
position: absolute; inset: 0;
background-image: url("data:image/svg+xml,%3Csvg viewBox='0 0 200 200' xmlns='http://www.w3.org/2000/svg'%3E%3Cfilter id='n'%3E%3CfeTurbulence type='fractalNoise' baseFrequency='0.85' numOctaves='2' stitchTiles='stitch'/%3E%3CfeColorMatrix values='0 0 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 0.06 0'/%3E%3C/filter%3E%3Crect width='100%25' height='100%25' filter='url(%23n)'/%3E%3C/svg%3E");
mix-blend-mode: overlay;
opacity: 0.5;
pointer-events: none;
}
/* viewfinder corner marks (1.5px hairline) */
.card[data-card-id="card-cta-vtake"] .corner {
position: absolute;
width: 3.5cqi; height: 3.5cqi;
border-color: rgba(245,239,225,0.18);
pointer-events: none;
}
.card[data-card-id="card-cta-vtake"] .corner.tl { top: 3.5cqi; left: 3.5cqi; border-top: 1.5px solid; border-left: 1.5px solid; }
.card[data-card-id="card-cta-vtake"] .corner.tr { top: 3.5cqi; right: 3.5cqi; border-top: 1.5px solid; border-right: 1.5px solid; }
.card[data-card-id="card-cta-vtake"] .corner.bl { bottom: 3.5cqi; left: 3.5cqi; border-bottom: 1.5px solid; border-left: 1.5px solid; }
.card[data-card-id="card-cta-vtake"] .corner.br { bottom: 3.5cqi; right: 3.5cqi; border-bottom: 1.5px solid; border-right: 1.5px solid; }
/* top film-credit strip */
.card[data-card-id="card-cta-vtake"] .top-meta {
position: absolute; top: 4.8cqi; left: 0; right: 0;
display: flex; justify-content: center;
gap: clamp(14px, 2cqi, 36px);
font-size: clamp(9px, 0.85cqi, 16px);
font-weight: 500;
letter-spacing: 0.36em;
text-transform: uppercase;
color: rgba(245,239,225,0.18);
}
.card[data-card-id="card-cta-vtake"] .top-meta .sep { color: #E89034; opacity: 0.7; }
/* bottom film-credit strip */
.card[data-card-id="card-cta-vtake"] .bot-meta {
position: absolute; bottom: 5cqi; left: 0; right: 0;
display: flex; justify-content: space-between;
padding: 0 7cqi;
font-size: clamp(9px, 0.8cqi, 15px);
font-weight: 500;
letter-spacing: 0.32em;
text-transform: uppercase;
color: rgba(245,239,225,0.18);
}
.card[data-card-id="card-cta-vtake"] .bot-meta .right { color: #E89034; opacity: 0.85; }
/* center stage */
.card[data-card-id="card-cta-vtake"] .stage {
position: absolute; top: 50%; left: 50%;
transform: translate(-50%, -50%);
display: flex; flex-direction: column; align-items: center;
z-index: 2;
}
/* "Powered by" row with short flanking lines */
.card[data-card-id="card-cta-vtake"] .powered-row {
display: flex; align-items: center;
gap: clamp(10px, 1.4cqi, 24px);
margin-bottom: clamp(24px, 3cqi, 56px);
}
.card[data-card-id="card-cta-vtake"] .powered-row .line {
height: 1px;
background: rgba(245,239,225,0.18);
width: 0;
}
.card[data-card-id="card-cta-vtake"] .powered-row .label {
font-size: clamp(11px, 1.05cqi, 20px);
font-weight: 600;
letter-spacing: 0.46em;
text-transform: uppercase;
color: rgba(245,239,225,0.40);
}
/* vT mark wrapper + dual concentric rings */
.card[data-card-id="card-cta-vtake"] .mark-wrap {
position: relative;
width: clamp(160px, 15cqi, 280px);
height: clamp(160px, 15cqi, 280px);
display: flex; align-items: center; justify-content: center;
}
.card[data-card-id="card-cta-vtake"] .mark-ring {
position: absolute; inset: 0;
border-radius: 50%;
border: 1.5px dashed rgba(232,144,52,0.22);
animation: ctaRingSpin 32s linear infinite;
}
.card[data-card-id="card-cta-vtake"] .mark-ring.inner {
inset: 8%;
border: 1px solid rgba(245,239,225,0.10);
animation: ctaRingSpin 32s linear infinite reverse;
}
.card[data-card-id="card-cta-vtake"] .vtake-mark {
width: 60%; height: auto;
color: #F5EFE1;
position: relative; z-index: 1;
overflow: visible;
}
/* main brand name */
.card[data-card-id="card-cta-vtake"] .vtake-name {
font-size: clamp(48px, 6cqi, 112px);
font-weight: 900;
letter-spacing: -0.05em;
margin-top: clamp(20px, 2.5cqi, 48px);
line-height: 1;
overflow: hidden;
clip-path: inset(0 100% 0 0);
}
.card[data-card-id="card-cta-vtake"] .name-accent { color: #E89034; }
/* decorative divider: ── ◆ ── */
.card[data-card-id="card-cta-vtake"] .divider {
display: flex; align-items: center;
gap: clamp(6px, 0.7cqi, 14px);
margin-top: clamp(18px, 2.2cqi, 40px);
}
.card[data-card-id="card-cta-vtake"] .divider .seg {
width: 0; height: 1px;
background: rgba(232,144,52,0.5);
}
.card[data-card-id="card-cta-vtake"] .divider .diamond {
width: clamp(4px, 0.45cqi, 8px);
height: clamp(4px, 0.45cqi, 8px);
background: #E89034;
transform: rotate(45deg) scale(0);
}
/* tagline below divider */
.card[data-card-id="card-cta-vtake"] .tagline {
margin-top: clamp(14px, 1.8cqi, 32px);
font-size: clamp(10px, 0.9cqi, 17px);
font-weight: 500;
letter-spacing: 0.56em;
text-transform: uppercase;
color: rgba(245,239,225,0.40);
padding-left: 0.5em;
}
/* amber sparkle particles */
.card[data-card-id="card-cta-vtake"] .spark {
position: absolute;
width: clamp(2px, 0.2cqi, 3px);
height: clamp(2px, 0.2cqi, 3px);
background: #E89034;
border-radius: 50%;
box-shadow: 0 0 14px #E89034;
opacity: 0;
}
.card[data-card-id="card-cta-vtake"] .spark.s1 { top: 32%; left: 22%; animation: ctaSparkle 3.5s ease-in-out 1.0s infinite; }
.card[data-card-id="card-cta-vtake"] .spark.s2 { top: 64%; left: 76%; animation: ctaSparkle 4.2s ease-in-out 1.4s infinite; }
.card[data-card-id="card-cta-vtake"] .spark.s3 { top: 26%; right: 22%; animation: ctaSparkle 3.8s ease-in-out 1.6s infinite; }
.card[data-card-id="card-cta-vtake"] .spark.s4 { bottom: 32%; left: 38%; animation: ctaSparkle 4.6s ease-in-out 0.8s infinite; }
.card[data-card-id="card-cta-vtake"] .spark.s5 { top: 48%; right: 14%; animation: ctaSparkle 3.2s ease-in-out 2.0s infinite; }
@keyframes ctaRingSpin { from { transform: rotate(0deg); } to { transform: rotate(360deg); } }
@keyframes ctaSparkle {
0%, 100% { opacity: 0; transform: scale(0.5); }
50% { opacity: 0.85; transform: scale(1.3); }
}
</style>
<div class="root">
<!-- Viewfinder corners -->
<span class="corner tl" id="cta-corner-tl"
data-anim="fade-in" data-anim-at="0.20" data-anim-duration="0.50"></span>
<span class="corner tr" id="cta-corner-tr"
data-anim="fade-in" data-anim-at="0.20" data-anim-duration="0.50"></span>
<span class="corner bl" id="cta-corner-bl"
data-anim="fade-in" data-anim-at="0.20" data-anim-duration="0.50"></span>
<span class="corner br" id="cta-corner-br"
data-anim="fade-in" data-anim-at="0.20" data-anim-duration="0.50"></span>
<!-- Top film-credit strip -->
<div class="top-meta" id="cta-top-meta"
data-anim="fade-in" data-anim-at="0.25" data-anim-duration="0.50">
<span>VTAKE™</span>
<span class="sep">♦</span>
<span>Cinematic Postproduction</span>
<span class="sep">♦</span>
<span>Est. 2026</span>
</div>
<!-- Bottom film-credit strip -->
<div class="bot-meta" id="cta-bot-meta"
data-anim="fade-in" data-anim-at="0.30" data-anim-duration="0.50">
<span>© 2026 vTake Studio</span>
<span class="right">vtake.app</span>
</div>
<!-- Sparkle particles (pure CSS ambient animation, no entry tween) -->
<span class="spark s1"></span>
<span class="spark s2"></span>
<span class="spark s3"></span>
<span class="spark s4"></span>
<span class="spark s5"></span>
<div class="stage">
<!-- "Powered by" with grow-x flanking lines -->
<div class="powered-row" id="cta-powered-row">
<span class="line" id="cta-line-l"
data-anim="grow-x" data-anim-at="0.18"
data-anim-duration="0.40" data-anim-target-w="56"></span>
<span class="label" id="cta-powered-label"
data-anim="fade-in" data-anim-at="0.15"
data-anim-duration="0.45">Powered by</span>
<span class="line" id="cta-line-r"
data-anim="grow-x" data-anim-at="0.18"
data-anim-duration="0.40" data-anim-target-w="56"></span>
</div>
<!-- vT mark with dual rings + 3 stroked paths + amber dot -->
<div class="mark-wrap">
<span class="mark-ring" id="cta-ring-outer"
data-anim="fade-in" data-anim-at="0.55" data-anim-duration="0.50"></span>
<span class="mark-ring inner" id="cta-ring-inner"
data-anim="fade-in" data-anim-at="0.60" data-anim-duration="0.50"></span>
<svg class="vtake-mark" viewBox="0 0 200 130" fill="none"
aria-label="vTake" role="img">
<g transform="skewX(-14) translate(16 0)"
stroke="currentColor" stroke-width="14"
stroke-linecap="round" stroke-linejoin="round">
<path id="cta-path-v" d="M24 32 L56 100 L88 32"
data-anim="draw-path" data-anim-at="0.05" data-anim-duration="0.40"/>
<path id="cta-path-tbar" d="M100 32 L164 32"
data-anim="draw-path" data-anim-at="0.30" data-anim-duration="0.25"/>
<path id="cta-path-tstem" d="M132 32 L132 100"
data-anim="draw-path" data-anim-at="0.50" data-anim-duration="0.25"/>
</g>
<circle id="cta-dot" cx="48" cy="118" r="7.2" fill="#E89034"
data-anim="scale-pop" data-anim-at="0.65" data-anim-duration="0.25"/>
</svg>
</div>
<!-- Main brand name reveals left → right -->
<div id="cta-vtake-name" class="vtake-name"
data-anim="mask-reveal" data-anim-at="0.40"
data-anim-duration="0.45" data-anim-direction="bottom">
<span class="name-accent">v</span>Take
</div>
<!-- Decorative divider: ── ◆ ── -->
<div class="divider">
<span class="seg" id="cta-seg-l"
data-anim="grow-x" data-anim-at="0.75"
data-anim-duration="0.30" data-anim-target-w="56"></span>
<span class="diamond" id="cta-diamond"
data-anim="scale-pop" data-anim-at="0.85" data-anim-duration="0.30"></span>
<span class="seg" id="cta-seg-r"
data-anim="grow-x" data-anim-at="0.75"
data-anim-duration="0.30" data-anim-target-w="56"></span>
</div>
<!-- Italic tagline -->
<div class="tagline" id="cta-tagline"
data-anim="fade-in" data-anim-at="0.90" data-anim-duration="0.45">
Visual Take · Reimagined
</div>
</div>
</div>
</div>Animation timeline (1.00s entrance, all data-anim-at values are relative
to card-cta-vtake.startSec):
| At | Element | Animation | Dur |
|---|---|---|---|
| 0.05 | V-shape stroke | draw-path | 0.40 |
| 0.15 | "Powered by" label | fade-in | 0.45 |
| 0.18 | flanking lines | grow-x (→56px) | 0.40 |
| 0.20 | viewfinder corners ×4 | fade-in | 0.50 |
| 0.25 | top film-credit strip | fade-in | 0.50 |
| 0.30 | bottom film-credit strip | fade-in | 0.50 |
| 0.30 | T-bar stroke | draw-path | 0.25 |
| 0.40 | "vTake" main name | mask-reveal | 0.45 |
| 0.50 | T-stem stroke | draw-path | 0.25 |
| 0.55 | outer dashed ring | fade-in (+ 32s spin) | 0.50 |
| 0.60 | inner solid ring | fade-in (+ 32s reverse) | 0.50 |
| 0.65 | amber dot | scale-pop (elastic) | 0.25 |
| 0.75 | divider segments | grow-x (→56px) | 0.30 |
| 0.85 | divider diamond | scale-pop | 0.30 |
| 0.90 | tagline | fade-in | 0.45 |
| 1.00+ | ambient | ring spin + sparkle loop | — |
Stage the assets and write $WORK_DIR/public/index.html:
# SKILL_DIR is injected by the host ("Base directory for this skill: …")
SKILL_DIR="<SKILL_DIR>"
mkdir -p "$WORK_DIR/public/fonts" "$WORK_DIR/public/vendor" "$WORK_DIR/public/cards"
cp -n "$SKILL_DIR/assets/fonts/"* "$WORK_DIR/public/fonts/"
cp -n "$SKILL_DIR/assets/vendor/gsap.min.js" "$WORK_DIR/public/vendor/"
# stage the input video so the composition can reference it by relative path
ln -f "$VIDEO_PATH" "$WORK_DIR/public/input-video.mp4" 2>/dev/null \
|| cp "$VIDEO_PATH" "$WORK_DIR/public/input-video.mp4"<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8" />
<style>
@font-face { font-family: 'Caveat'; src: url('fonts/Caveat-400-latin.woff2') format('woff2'); font-weight: 400; font-display: block; }
@font-face { font-family: 'Caveat'; src: url('fonts/Caveat-700-latin.woff2') format('woff2'); font-weight: 700; font-display: block; }
@font-face { font-family: 'LXGW WenKai TC'; src: url('fonts/LXGWWenKaiTC-400-latin.woff2') format('woff2'); font-weight: 400; font-display: block; }
@font-face { font-family: 'Inter'; src: url('fonts/Inter-400-latin.woff2') format('woff2'); font-weight: 400; font-display: block; }
@font-face { font-family: 'Inter'; src: url('fonts/Inter-700-latin.woff2') format('woff2'); font-weight: 700; font-display: block; }
@font-face { font-family: 'Virgil'; src: url('fonts/Virgil.woff2') format('woff2'); font-display: block; }
:root {
/* Pick from the themeId palette table in Step 7 — example: classic */
--bg: #FFF9E3;
--text: #1e1e1e;
--accent-0: #1971c2;
--accent-1: #e03131;
--accent-2: #2f9e44;
--accent-3: #e8590c;
--accent-4: #9c36b5;
--font-family: 'Caveat', 'LXGW WenKai TC', serif;
}
* { box-sizing: border-box; }
/* Body font-family MUST list concrete font names (not just var(--font-family)) —
the HyperFrames renderer's static analyzer doesn't expand CSS variables when
resolving fonts, so a var-only chain triggers `font_family_without_font_face`
lint and falls back to a generic. Use the concrete chain here; cards that
want the theme font can still reference var(--font-family) internally. */
html, body { margin: 0; padding: 0; width: 100%; height: 100%; overflow: hidden; background: #000;
font-family: 'Inter', 'Caveat', 'LXGW WenKai TC', ui-sans-serif, system-ui, sans-serif; }
#stage { position: relative; width: 100%; height: 100%; overflow: hidden; }
/* video-wrapper holds the source video. Its position / size are animated
over time by the master timeline (one tween per layout transition). */
.video-wrapper {
position: absolute;
left: 0; top: 0; width: 1920px; height: 1080px;
overflow: hidden;
border-radius: 0;
box-shadow: none;
}
.video-wrapper video { width: 100%; height: 100%; object-fit: cover; }
.card-host { position: absolute; pointer-events: none; overflow: hidden; }
.card-host .card { position: relative; width: 100%; height: 100%; overflow: hidden; }
.card-host .char { display: inline-block; visibility: visible; }
/* Subtle drop shadow + rounded corners for non-fullscreen video framings */
.video-wrapper.framed {
border-radius: 16px;
box-shadow: 0 12px 40px rgba(0,0,0,0.35);
}
</style>
</head>
<body>
<div
id="stage"
data-composition-id="vtake"
data-start="0"
data-duration="121.2"
data-fps="30"
data-width="1920"
data-height="1080"
>
<!-- Layer 1: source video — initial position matches card-01's layout -->
<div class="video-wrapper" id="video-wrap">
<video id="bg-video"
src="input-video.mp4"
muted playsinline
data-start="0"
data-duration="121.2"
data-track-index="1"></video>
</div>
<!-- Layer 2: each card-host sits at the bounds dictated by its layout. -->
<!-- IMPORTANT: every card-host MUST carry BOTH "card-host" and "clip" classes. -->
<!-- - "card-host" → our positioning + pointer-events styles -->
<!-- - "clip" → HyperFrames runtime uses this to enforce visibility -->
<!-- only during data-start … data-start+data-duration. -->
<!-- Without "clip" the host stays visible the whole video -->
<!-- (lint: timed_element_missing_clip_class). -->
<!-- Example: card-01 with zone="fullscreen" → card-host covers (0,0,1920,1080) -->
<div class="card-host clip"
data-card-id="card-01"
data-start="1.0000"
data-duration="6.5000"
data-track-index="2"
style="left:0;top:0;width:1920px;height:1080px;visibility:hidden;opacity:0;">
<!-- paste the contents of public/cards/card-01.html here -->
</div>
<!-- Example: card-02 with zone="side-panel" (split composition layout) → card on left half -->
<div class="card-host clip"
data-card-id="card-02"
data-start="8.0000"
data-duration="12.0000"
data-track-index="2"
style="left:0;top:0;width:960px;height:1080px;visibility:hidden;opacity:0;">
<!-- card-02 HTML -->
</div>
<!-- ...one "card-host clip" per card with inline bounds matching resolveZoneBounds(card.zone)... -->
<script src="vendor/gsap.min.js"></script>
<script>
(function(){
// count-up formatter helper
window.__fmt = function(v, fmt) {
if (typeof fmt === 'string' && /^\.[0-9]+f$/.test(fmt)) {
return Number(v).toFixed(Number(fmt.slice(1, -1)));
}
if (fmt === ',d') return Math.round(v).toLocaleString();
return String(Math.round(v));
};
const tl = window.gsap.timeline({ paused: true });
// ── Card lifecycle (one block per card) ──
// Example for card-01 [1.0, 7.5] with kinetic-chars at +0.3, grow-x at +0.65:
// Enter (fade in over 0.4s)
tl.set('.card-host[data-card-id="card-01"]', { visibility: 'visible' }, 1.0000);
tl.fromTo('.card-host[data-card-id="card-01"]',
{ opacity: 0 }, { opacity: 1, duration: 0.4000, ease: 'power2.out' }, 1.0000);
// Card-internal anims (compile each data-anim-* declaration here)
tl.from('.card[data-card-id="card-01"] #card-01-title .char',
{ opacity: 0, y: 8, scale: 0.8, duration: 0.5000, ease: 'power2.out', stagger: 0.0400 },
1.3000);
tl.fromTo('.card[data-card-id="card-01"] #card-01-line',
{ width: 0 }, { width: 420, duration: 0.5000, ease: 'power2.out' }, 1.6500);
// Exit (fade out over 0.35s, ending at endSec)
tl.to('.card-host[data-card-id="card-01"]',
{ opacity: 0, duration: 0.3500, ease: 'power2.in' }, 7.1500);
tl.set('.card-host[data-card-id="card-01"]', { visibility: 'hidden' }, 7.5000);
// ── Video framing transitions ──
// When the next card uses a different composition layout, animate the
// video-wrapper to its new bounds. Example: card-01 = fullscreen
// (video hidden behind), card-02 = split composition (zone="side-panel"
// → video on right, card on left).
// Card-02 enters at 8.0s with the split composition. Animate video to
// the right half during the card-01 → card-02 gap (between 7.5 and 8.0s).
tl.set('#video-wrap', { className: 'video-wrapper framed' }, 7.5);
tl.to('#video-wrap',
{ left: 960, top: 0, width: 960, height: 1080,
duration: 0.6, ease: 'power2.inOut' }, 7.5);
// Card-02 enter — same pattern as card-01
tl.set('.card-host[data-card-id="card-02"]', { visibility: 'visible' }, 8.0);
tl.fromTo('.card-host[data-card-id="card-02"]',
{ opacity: 0 }, { opacity: 1, duration: 0.4, ease: 'power2.out' }, 8.0);
// ...card-02 internal anims...
// ── repeat for each card; if the NEXT card's layout differs,
// insert another tl.to('#video-wrap', ...) tween before its enter ──
window.__timelines = window.__timelines || {};
window.__timelines["vtake"] = tl;
})();
</script>
</div>
</body>
</html>Compile each data-anim attribute into a GSAP statement. Times are
absolute seconds = card.startSec + data-anim-at, quantized to 1/fps.
Selector is .card[data-card-id="X"] #elementId.
| data-anim | GSAP statement template |
|---|---|
fade-in | tl.fromTo(SEL, { opacity: 0 }, { opacity: 1, duration: D, ease: 'power2.out' }, T); |
fade-out | tl.to(SEL, { opacity: 0, duration: D, ease: 'power2.in' }, T); |
slide-in (from=left, dist=80) | tl.fromTo(SEL, { opacity: 0, x: -80 }, { opacity: 1, x: 0, duration: D, ease: 'power2.out' }, T); |
kinetic-chars (pop) | tl.from(SEL + ' .char', { opacity: 0, y: 8, scale: 0.8, duration: D, ease: 'power2.out', stagger: S }, T); |
count-up | (function(){const o={v:FROM};tl.to(o,{v:TO,duration:D,ease:'power2.out',onUpdate:function(){const el=document.querySelector(SEL);if(el)el.textContent=__fmt(o.v,'FMT');}},T);})(); |
draw-path | (function(){const el=document.querySelector(SEL);if(!el)return;const L=el.getTotalLength();tl.set(SEL,{strokeDasharray:L,strokeDashoffset:L},T);tl.to(SEL,{strokeDashoffset:0,duration:D,ease:'power2.inOut'},T);})(); |
grow-x (target-w=W) | tl.fromTo(SEL, { width: 0 }, { width: W, duration: D, ease: 'power2.out' }, T); |
grow-y (target-h=H) | tl.fromTo(SEL, { height: 0 }, { height: H, duration: D, ease: 'power2.out' }, T); |
scale-pop | tl.fromTo(SEL, { opacity: 0, scale: 0.6 }, { opacity: 1, scale: 1, duration: D, ease: 'back.out(1.6)' }, T); |
mask-reveal (direction=left) | tl.fromTo(SEL, { clipPath: 'inset(0 100% 0 0)' }, { clipPath: 'inset(0 0 0 0)', duration: D, ease: 'power2.inOut' }, T); |
Quantize: T = Math.round(absSec * fps) / fps. At 30fps the smallest
step is 1/30 ≈ 0.0333s; rounding to 4 decimals (.toFixed(4)) is fine
inside the JS literal.
layout value)The selector for the video container is #video-wrap. Animate its
bounds between cards using tl.to('#video-wrap', { ...bounds }, T).
Initial bounds should be set inline on the element to match card-01's
layout. Pick a transition duration of 0.5–0.7s with ease: 'power2.inOut'.
Decorative frames (clean / hairline / polaroid) sit as a
sibling of #video-wrap and follow it through layout transitions.
See
references/frames/ for each frame's placement
HTML, suggested CSS, and which layouts it pairs with. Quick rule:
overlay layout suppresses decorative frames (the full-bleed video
clashes with chrome); PiP layouts already have their own pill treatment
(border-radius + white ring + shadow), so add a decorative frame only on
top of split / stack.
GSAP target lookup table for #video-wrap per composition layout
(landscape 1920×1080 — for portrait & 4:5 see references/layouts/*.html
which list all three ratios):
| composition layout | typical card.zone | #video-wrap GSAP target | extra css class |
|---|---|---|---|
split | side-panel | { left: 960, top: 0, width: 960, height: 1080 } | — |
stack | lower-third | { left: 14, top: 14, width: 1892, height: 548 } (top 52%) | — |
pip (bottom-right) | fullscreen | { left: 1480, top: 760, width: 400, height: 300 } | pip-pill (border-radius + ring + shadow) |
pip (top-left) | fullscreen | { left: 40, top: 40, width: 400, height: 300 } | pip-pill |
overlay (video full-bleed) | video-overlay | { left: 0, top: 0, width: 1920, height: 1080 } (no change from default) | — |
| hide video (pure-graphic moment) | fullscreen | { opacity: 0 } (or move off-canvas) | — |
To toggle the pip-pill chrome (border-radius + white ring + drop shadow) when entering or leaving a pip moment:
// Enter pip — add chrome
tl.set('#video-wrap', { className: 'video-wrapper pip-pill' }, T);
tl.to('#video-wrap', { left: 1480, top: 760, width: 400, height: 300,
duration: 0.6, ease: 'power2.inOut' }, T);
// Leave pip — back to clean full-bleed
tl.set('#video-wrap', { className: 'video-wrapper' }, T_NEXT);
tl.to('#video-wrap', { left: 0, top: 0, width: 1920, height: 1080,
duration: 0.6, ease: 'power2.inOut' }, T_NEXT);Card-host bounds match the zone. Resolve the card's zone into
pixel bounds using the table at the top of Step 6, then write those
into the card-host's inline style="left:Xpx;top:Ypx;width:Wpx; height:Hpx;...". For video-overlay zone (overlay recipe), the
card-host fills the full canvas — your CSS inside .card .root
decides where the actual visible card sits.
window.__timelines["vtake"].async, setTimeout, Promises, or media play() calls.Math.random() or Date.now() in render paths.repeat: -1; calculate finite repeats from the video duration.x, y, scale, rotation, opacity) over layout properties (top, left, width, height) for motion.#video-wrap, not the video element dimensions directly.data-track-index, not data-layer; use data-duration, not data-end.card-host, sub-composition, etc.) MUST include class="clip" alongside its own classes — e.g. class="card-host clip". The HyperFrames runtime uses .clip to gate visibility to the data-start … data-start+data-duration window. Without it the element is visible for the whole video (lint: timed_element_missing_clip_class).font-family, list concrete font names ('Inter', 'Caveat', …) — not a CSS variable like var(--font-family). The HyperFrames font resolver doesn't expand CSS vars during static analysis (lint: font_family_without_font_face). Cards may still use var(--font-family) internally since their @font-face declarations are loaded.At the end of the GSAP timeline block (just before the final window.__timelines
registration), append this fixed code block. Replace CTA_START with
card-cta-vtake.startSec and CTA_END with card-cta-vtake.endSec:
// ── card-cta-vtake: Editorial Cinema brand outro (2.0s total) ──
// Sequence: 1.0s entrance · 0.7s hold (CSS ambient breathing) · 0.3s fade-out
const PREFIX = '.card[data-card-id="card-cta-vtake"]';
// Fade source video out at the start of the CTA
tl.to('#video-wrap', { opacity: 0, duration: 0.30, ease: 'power2.in' }, CTA_START);
// Card host enter
tl.set('.card-host[data-card-id="card-cta-vtake"]', { visibility: 'visible' }, CTA_START);
tl.fromTo('.card-host[data-card-id="card-cta-vtake"]',
{ opacity: 0 }, { opacity: 1, duration: 0.30, ease: 'power2.out' }, CTA_START);
// V-shape stroke draw
(function(){
const sel = PREFIX + ' #cta-path-v';
const el = document.querySelector(sel); if(!el) return;
const L = el.getTotalLength();
tl.set(sel, { strokeDasharray: L, strokeDashoffset: L }, CTA_START + 0.05);
tl.to(sel, { strokeDashoffset: 0, duration: 0.40, ease: 'power2.inOut' }, CTA_START + 0.05);
})();
// "Powered by" label
tl.fromTo(PREFIX + ' #cta-powered-label',
{ opacity: 0 }, { opacity: 1, duration: 0.45, ease: 'power2.out' }, CTA_START + 0.15);
// Flanking lines grow-x
tl.fromTo(PREFIX + ' #cta-line-l',
{ width: 0 }, { width: 56, duration: 0.40, ease: 'power2.out' }, CTA_START + 0.18);
tl.fromTo(PREFIX + ' #cta-line-r',
{ width: 0 }, { width: 56, duration: 0.40, ease: 'power2.out' }, CTA_START + 0.18);
// Viewfinder corners ×4 fade-in
['tl','tr','bl','br'].forEach(pos => {
tl.fromTo(PREFIX + ' #cta-corner-' + pos,
{ opacity: 0, scale: 0.7 },
{ opacity: 1, scale: 1, duration: 0.50, ease: 'power2.out' },
CTA_START + 0.20);
});
// Top/bottom film-credit meta strips
tl.fromTo(PREFIX + ' #cta-top-meta',
{ opacity: 0, y: 6 }, { opacity: 1, y: 0, duration: 0.50, ease: 'power2.out' }, CTA_START + 0.25);
tl.fromTo(PREFIX + ' #cta-bot-meta',
{ opacity: 0, y: -6 }, { opacity: 1, y: 0, duration: 0.50, ease: 'power2.out' }, CTA_START + 0.30);
// T-bar stroke draw
(function(){
const sel = PREFIX + ' #cta-path-tbar';
const el = document.querySelector(sel); if(!el) return;
const L = el.getTotalLength();
tl.set(sel, { strokeDasharray: L, strokeDashoffset: L }, CTA_START + 0.30);
tl.to(sel, { strokeDashoffset: 0, duration: 0.25, ease: 'power2.inOut' }, CTA_START + 0.30);
})();
// "vTake" main name mask-reveal (left → right)
tl.fromTo(PREFIX + ' #cta-vtake-name',
{ clipPath: 'inset(0 100% 0 0)' },
{ clipPath: 'inset(0 0% 0 0)', duration: 0.45, ease: 'power2.inOut' },
CTA_START + 0.40);
// T-stem stroke draw
(function(){
const sel = PREFIX + ' #cta-path-tstem';
const el = document.querySelector(sel); if(!el) return;
const L = el.getTotalLength();
tl.set(sel, { strokeDasharray: L, strokeDashoffset: L }, CTA_START + 0.50);
tl.to(sel, { strokeDashoffset: 0, duration: 0.25, ease: 'power2.inOut' }, CTA_START + 0.50);
})();
// Dual concentric rings fade-in (CSS @keyframes handles the slow spin)
tl.fromTo(PREFIX + ' #cta-ring-outer',
{ opacity: 0 }, { opacity: 1, duration: 0.50, ease: 'power2.out' }, CTA_START + 0.55);
tl.fromTo(PREFIX + ' #cta-ring-inner',
{ opacity: 0 }, { opacity: 1, duration: 0.50, ease: 'power2.out' }, CTA_START + 0.60);
// Amber dot scale-pop (elastic)
tl.fromTo(PREFIX + ' #cta-dot',
{ opacity: 0, scale: 0.4, transformOrigin: '48px 118px' },
{ opacity: 1, scale: 1, duration: 0.25, ease: 'back.out(1.7)' },
CTA_START + 0.65);
// Decorative divider segments grow-x
tl.fromTo(PREFIX + ' #cta-seg-l',
{ width: 0 }, { width: 56, duration: 0.30, ease: 'power2.out' }, CTA_START + 0.75);
tl.fromTo(PREFIX + ' #cta-seg-r',
{ width: 0 }, { width: 56, duration: 0.30, ease: 'power2.out' }, CTA_START + 0.75);
// Divider diamond pop
tl.fromTo(PREFIX + ' #cta-diamond',
{ rotate: 45, scale: 0 },
{ rotate: 45, scale: 1, duration: 0.30, ease: 'back.out(1.7)' },
CTA_START + 0.85);
// Tagline fade-in
tl.fromTo(PREFIX + ' #cta-tagline',
{ opacity: 0, y: 4 }, { opacity: 1, y: 0, duration: 0.45, ease: 'power2.out' }, CTA_START + 0.90);
// Card exit — fade-out in the last 0.30s of the 2.0s window
tl.to('.card-host[data-card-id="card-cta-vtake"]',
{ opacity: 0, duration: 0.30, ease: 'power2.in' }, CTA_END - 0.30);
tl.set('.card-host[data-card-id="card-cta-vtake"]', { visibility: 'hidden' }, CTA_END);cd "$WORK_DIR"
PRODUCER_BROWSER_GPU_MODE=hardware npx hyperframes render public \
-o output.mp4 \
--fps 30hyperframes render <dir> reads <dir>/index.html and produces the MP4.
The flag PRODUCER_BROWSER_GPU_MODE=hardware (or --browser-gpu) is
strongly recommended on macOS — software-only Chrome rendering times out
on most laptops.
For a sanity check before the full render, capture a single frame at a specific timestamp:
npx hyperframes snapshot public --at 5 --out snapshot-5s.pngTell the user:
storyboard.json (the card outline you designed)public/cards/*.html (one HTML per card)public/index.html (the assembled composition)output.mp4 (the final video)Do not delete the work directory unless the user asks.
© notedit, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 26 other files (references, assets) in skills/vtake-cut of notedit/vtake-skills.
Open the folder on GitHubat commit ee5b4ab
Vtake Cut 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 |
|---|---|---|---|---|---|---|
| Vtake Cut this skillnotedit/vtake-skills | 115 | — | ~17k | Automated safety check: Pass | MIT | |
| Podcast And Audiogramssocial-media-skills/skills | 125 | — | ~1.9k | Automated safety check: Pass | MIT | |
| Capcut Editrenezander030/capcut-cli | 835 | 1 repos | ~1.4k | Automated safety check: Pass | MIT | |
| AutoshortsUpload-Post/skill-autoshorts | 151 | — | ~5.3k | Automated safety check: Notes | MIT | |
| KinocutKyaniteLabs/kinocut | 192 | — | ~5.7k | Automated safety check: Pass | Apache-2.0 | |
| Stage EditOrkas-AI/Orkas-VideoStudio | 498 | — | ~2.4k | Automated safety check: Pass | MIT |
social-media-skills/skills
The audio-to-social pipeline skill -- turn a podcast episode into short, branded, captioned clips and audiograms that drive people back to the full episode.
renezander030/capcut-cli
Edit CapCut / JianYing video projects — read and write subtitles, timing, speed, volume, templates, animations (fade/ken-burns), and cut long-form to shorts.
Upload-Post/skill-autoshorts
Daily pipeline that picks one long video from a folder, transcribes it with Whisper, uses Gemini 3 Flash multimodal to find every viral short-form moment, cuts each candidate with FFmpeg, adds a…
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…
Orkas-AI/Orkas-VideoStudio
Intelligent editing of real user-supplied footage—understand it with transcript/inspected-frame/scene/silence/quality evidence, then choose deterministic timeline operations or a constrained…
KyaniteLabs/kinocut
Use the current Kinocut tools to turn one local video path into a short platform-ready clip package with manifests, review artifacts, and human approval gates.
Categories
Turn a local video into metadata, transcript, and an AI-composed card-based video where the agent freely designs and writes HTML cards in conversation. Vtake Cut is an agent skill from notedit/vtake-skills. Turn a local video into metadata, transcript, and an AI-composed card-based video where the agent freely designs and writes HTML cards in conversation.
Vtake Cut fits situations like: the user asks for VTake; video takeaways; transcript cleanup; AI-composed video repurposing.
Run `npx skills add notedit/vtake-skills --skill vtake-cut -a claude-code`. Or copy the skill folder (skills/vtake-cut in notedit/vtake-skills) into .claude/skills/vtake-cut in your project. Claude Code loads it when a task matches its description.
Run `npx skills add notedit/vtake-skills --skill vtake-cut -a codex`. Or copy the skill folder (skills/vtake-cut in notedit/vtake-skills) into .agents/skills/vtake-cut 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 notedit/vtake-skills --skill vtake-cut -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/vtake-cut, .gemini/skills/vtake-cut, .github/skills/vtake-cut and .opencode/skills/vtake-cut in your project.
Going by SKILL.md and its folder, Vtake Cut needs JavaScript for the scripts in its folder, the command-line tools its instructions call (npx) and credentials named ELEVEN_API_KEY. Our summary lists: Node.js; A credential in ELEVEN_API_KEY.
SKILL.md names 2 domains. In commands or code: vtake.app and w3.org; the agent is likely to contact these when it follows the instructions. 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.
Vtake Cut is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 17k tokens (SKILL.md is roughly 67k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 21k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Vtake Cut: Podcast And Audiograms (social-media-skills/skills, 125 stars), Capcut Edit (renezander030/capcut-cli, 835 stars), Autoshorts (Upload-Post/skill-autoshorts, 151 stars) and Kinocut (KyaniteLabs/kinocut, 192 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
notedit (a GitHub user) maintains it in notedit/vtake-skills, which has 115 GitHub stars. The repository was last updated on May 31, 2026.
Source: notedit/vtake-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.