html2video

name	html2video
description	Turn a web article URL into a polished 1920x1080 edited video (MP4) — code-driven editing with Remotion, not AI video generation. Use this whenever the user wants an article, blog post, research page or changelog made into a video, or says 文章转视频, 网页转视频, 把这篇做成视频, article-to-video, url-to-video, or asks for an explainer or montage cut of written content. It harvests the page's real structure, full-resolution figures and design tokens, mines the content for what matters (including the caveats most tools skip), commits to a reviewable storyboard.json, then renders through a hardened Chinese-typography shot library. Has a 口播 (spoken) mode — ask for 口播, 配音稿, a narration script or voice-over and it re-times the cut to speech and writes a recordable script with timecodes. Also use it to re-render or retune an existing storyboard.json, adjust crops or pacing, or pull stills.
metadata	{"version":"1.0.0"}

html2video

Produce a 1920x1080 H.264 video from a web article. Chinese output by default; English sources get translated during the reading stage.

The hard part is not rendering. It is deciding what deserves to be on screen — and the thing that separates this from a slideshow is treating a page's figures and figure captions as primary material rather than decoration.

The pipeline

HARVEST ──→ READ ──→ STORYBOARD ──→ RENDER
 scripts     you     storyboard.json   library

Four stages, and the middle two are where the quality comes from. HARVEST and RENDER are deterministic and already written; READ and STORYBOARD are editorial judgement, which is your job.

Script	Does
scripts/harvest.py	URL to structured content, full-resolution figures, design tokens
scripts/render.mjs	storyboard.json to MP4 (stages assets, subsets fonts, validates, renders)
scripts/build_fonts.mjs	subsets the CJK faces to this board's characters (called by render.mjs)
scripts/sync.sh	copies the engine from assets/template/ into the runtime studio

All paths below are relative to this skill's directory. The render engine lives in assets/template/ and runs from ~/.cache/html2video/studio/, which is where node_modules is kept so it survives between runs.

1. HARVEST

python3 scripts/harvest.py --url "https://example.com/article" --out ./work/myrun

Produces work/myrun/harvest.json plus work/myrun/media/fig-NN.png.

Read harvest.json before doing anything else. Look at, in this order:

1. figures[].caption, and its captionSource. When a page really uses <figcaption>, each caption is a finding compressed into one sentence with its illustration already attached — the densest editorial material available, and the shortest path to a good video.

   But check captionSource before trusting one. figcaption is authoritative; proximity means the text merely followed the image and may belong to a different figure; none means the page gave nothing. Many sites (Cloudflare's blog, for one) wrap images in <figure> with no caption at all.

   When it is proximity or none, open the image and read the finding off the chart — its own embedded title is usually the best source. Re-author that as a Chinese headline, and put the English original in asset.sourceCaption.

2. figures[].intrinsic — how many pixels you have to spend. A figure at 2688px can be pushed into; one at 1590px cannot fill a 1920 frame at all.

3. sections — the article's real spine, with nav noise already dropped.

4. tokens — the site's actual colours and fonts, from a real browser. cssVars often contains the brand palette by name.

If the fetch looks thin, retry attached to a logged-in Chrome:

python3 scripts/harvest.py --url URL --out DIR --cdp-url http://localhost:9222

2. READ

This stage has no script because it is the judgement. Load references/editorial.md and work through it. In short:

• state the core message in 40 Chinese characters or fewer
• pick 3 to 5 supporting points and order them by audience relevance, not by where they appear in the article
• triage everything else: keep / simplify / visualise / omit
• go looking for what the article half-buries — the limitation it admits, the number that contradicts expectation, the one example that makes it click. These are the moments other tools skip, and they are why a video is worth watching rather than skimming.

Write narrative headlines. "26% 的题目它知道自己在被测" beats "评测结果".

3. STORYBOARD

Author work/myrun/storyboard.json. The schema, every field's meaning, and a complete worked example are in references/storyboard.md. Shot-by-shot composition and motion specs are in references/shots.md.

Three rules that the schema enforces, so it is cheaper to follow them than to fight them:

• Never author frames. Scene length is a dimensionless weight; the solver converts weights to frames while respecting a reading floor computed from your text. Everything time-like inside a scene is normalised 0..1.
• Crops are normalised rects in source-image space, and a crop that would need more pixels than the image has is rejected before rendering.
• Assets are local. No URLs anywhere; the render never waits on the network.

Then validate, which is much faster than rendering:

node scripts/render.mjs --storyboard ./work/myrun --still 0

The validation report prints resolved scene durations, pixel headroom per asset, and character budgets. Fix everything it flags before rendering.

4. RENDER

# full video
node scripts/render.mjs --storyboard ./work/myrun --out ./myrun.mp4

# one frame, for checking a layout
node scripts/render.mjs --storyboard ./work/myrun --still 950

# interactive preview
node scripts/render.mjs --storyboard ./work/myrun --studio

# 口播 mode: script only, no render
node scripts/render.mjs --storyboard ./work/myrun --script

口播 mode

When the user asks for 口播 / a spoken version / a narration script, set audio.mode: "voice" and give every scene a narration line. That does three things, and the third is why this is a mode rather than an extra document:

• writes narration.md — a recordable script with timecodes, what is on screen at each moment, and a per-scene duration budget
• re-times the cut to speech rather than to reading speed, so the script and the video actually line up
• relaxes the reading floor, since the viewer is listening rather than reading

The video renders silent — you record over it. No TTS, no API key.

The single rule that matters: narration must not read the on-screen text aloud. The screen says what it is; the narration says why, so what, and where it came from. Read references/narration.md before writing any of it — it also covers trimming on-screen text, spoken syntax, and the --sps speech-rate flag.

render.mjs stages assets, wraps props, subsets fonts, validates and renders in one step. Use it rather than calling remotion directly — see the props note in references/pitfalls.md for why.

Use --concurrency 3 or lower if a render dies with Visited "http://localhost:3001/index.html" but got no response. Measured on this machine: 8 parallel tabs against the system Chrome fails that way, 3 is stable. Stills always work because they run a single tab.

Iterating on the visuals

This is the real work, and there is no automated substitute for looking at frames.

Do not re-render the whole video to check a change. Pull stills at the middle of the scenes you touched:

node scripts/render.mjs --storyboard ./work/myrun --still 520   # a few seconds each

The validation report prints each scene's start in frames and its duration in seconds, so mid-scene is from + duration * fps / 2. Look for, specifically:

• text landing on top of a figure, or on a busy part of one
• a headline competing with type that is already inside the figure
• a crop that cuts a word, a chart title, or an axis label — for a chart this is the most common problem, and the fix is "fit": "contain"
• rules and dividers that have vanished (anything under 2px does, in video)
• Chinese lines breaking mid-word — fix with an explicit \n in the text

When a figure fights you, the answer is usually a different slot or fit, not a smaller font. A chart or schematic wants "fit": "contain" so nothing is cropped; a wide schematic wants band; a screenshot wants inset; a photograph wants full with cover and a push-in.

Watch the overall shape too: if every figure ends up contain + hold, the middle of the video will read as slides. Give at least one figure that has the pixels for it a gentle push-in.

Constraints that are not negotiable

These come from Remotion's rendering model, and violating them produces videos that look fine in preview and break in the render:

• No CSS animations, transitions, or Tailwind animate-*. Frames render across parallel browser tabs that share no animation state, so anything not driven by useCurrentFrame() flickers. Animate with interpolate().
• interpolate() returns a number, never a string. Wrap it in a template literal for translate/rotate. And translate needs the two-value form: a bare number is translateX only.
• <Audio volume={(f) => …}> receives audio-local frames, not composition frames. The music bed is mounted at frame 0 outside any Sequence so the two coincide; keep it that way.
• A cut is the absence of a transition, not a zero-frame one.

The full list, with the reasoning and the failure each rule prevents, is in references/pitfalls.md. Read it before editing the engine in assets/template/src/.

Typography

Chinese in Remotion has one large trap: routing CJK through @remotion/google-fonts means about 101 unicode-range subsets times 9 weights, each its own FontFace and its own render-blocking delayRender() — hundreds of network fetches per frame tab. This skill instead subsets two variable faces locally with pyftsubset to exactly the characters the storyboard uses: about 310 codepoints becomes ~125KB total, versus ~36MB, with zero network at render.

The type scale, safe area, the exact character-per-line budgets and the CJK line-breaking rules are in references/cjk-type.md. Read it before changing any font size.

Requirements

Already present on this machine; listed so a failure is diagnosable.

Needs	For	Check
bun	runs baoyu-fetch during harvest	bun -v
agent-browser	design tokens via getComputedStyle	agent-browser --version
pyftsubset with brotli	font subsetting	pyftsubset --help
sips	image dimensions (macOS built-in)	—
Node 20+, Chrome	rendering	node -v

First run downloads two Noto CJK variable fonts (~37MB total) into ~/.cache/html2video/fonts/ and caches them permanently. If that download fails the skill falls back to a macOS system font and says so — text metrics then vary between machines, which breaks reproducible line breaking.

No music ships with this skill, because shipping music means shipping a licence. Drop a file into the harvest directory and set audio.bed to its name; without one the video renders silent.

Resources

• references/editorial.md — the READ stage: salience mining, triage, narrative arcs, banned phrasing
• references/storyboard.md — schema field by field, plus a full worked example from a real article
• references/shots.md — the ten shots: what each is for, its composition, its motion
• references/cjk-type.md — type scale, safe area, character budgets, CJK line breaking, font subsetting
• references/narration.md — 口播 mode: writing a script people can record, trimming on-screen text, how speech length is estimated
• references/pitfalls.md — every constraint and hard-won gotcha, with the failure it prevents