longform-video

name	longform-video
description	Produce 1-5 min landscape (1920x1080) video essays from an article, using a fully local Remotion project — React scene components, local TTS voice cloning, Pexels b-roll, kinetic typography, burned-in subtitles, chapter transitions, ambient music. Use when asked to turn an article into a narrated explainer video.
version	1.0.0
author	Bubble Invest
license	MIT

SKILL.md — Long-Form Video (Remotion + Local TTS)

Produces 1-5 min landscape (1920×1080) video essays from an article using a fully local, self-contained Remotion project with React scene components, local TTS (VoxCPM2) voice cloning, Pexels b-roll, kinetic typography, burned-in subtitles, chapter transitions, and ambient background music.

This skill creates one standalone Remotion project per video for maximum flexibility, scene-component composition, and zero external API dependencies for voice (TTS runs locally — see the companion local-tts skill).

Adapt the visual tokens (colors, fonts, logo) in src/brand.ts to your own brand before rendering.

---

When to use

• Turn a long-form article into a narrated landscape (1920×1080) video essay
• A video with data viz + b-roll + kinetic typography
• Clone a narrator's voice for the voiceover (local, offline)
• A Kurzgesagt / video-essay-style explainer

Do NOT use for vertical short-form (9:16) — this is a landscape template.

---

Project structure

<project>/
├── package.json              # Remotion 4.x + transitions + google-fonts
├── tsconfig.json             # include src + public/scene_timings.json + script.json
├── remotion.config.ts        # entry point ./src/index.ts
├── script.json               # narration + per-scene specs (see Schema below)
├── batch_tts.py              # single-process VoxCPM generator (model loaded once)
├── build_voice.py            # ffmpeg timeline assembly with mix A+B wpm normalization
├── fetch_broll.py            # Pexels b-roll downloader (reads PEXELS_API_KEY from env)
├── normalize_broll.sh        # Re-encodes b-roll to H.264 baseline, no B-frames, 30fps
├── audio/
│   ├── _ref.wav              # Voice reference (ffmpeg'd from a short narrator clip)
│   ├── <scene>.wav           # Per-scene raw TTS output
│   └── _proc_<scene>.wav     # Speed-adjusted + padded clips (build artifact)
├── public/
│   ├── voice.wav             # Final assembled voice timeline (Remotion via staticFile)
│   ├── music.mp3             # Background ambient track
│   ├── scene_timings.json    # AUDIO-DRIVEN timing data, consumed by Root.tsx
│   └── broll/
│       ├── _raw/             # Pristine Pexels downloads (don't touch)
│       └── <scene>.mp4       # Normalized 1920×1080 @ 30fps H.264 baseline
├── src/
│   ├── index.ts              # registerRoot(RemotionRoot)
│   ├── Root.tsx              # Composition registration — imports scene_timings.json
│   ├── Main.tsx              # TransitionSeries orchestration: scenes + audio + music
│   ├── Backdrop.tsx          # Background wash + dot grid
│   ├── Logo.tsx              # Your logo SVG
│   ├── LogoBadge.tsx         # Corner watermark
│   ├── SubtitleLayer.tsx     # Burned-in pill captions, chunked & kinetic
│   ├── brand.ts              # Brand tokens (colors, fonts) — EDIT THIS
│   └── scenes/
│       ├── TitleScene.tsx
│       ├── StatCounterScene.tsx
│       ├── KineticQuoteScene.tsx
│       ├── BarChartScene.tsx
│       ├── ComparisonScene.tsx
│       ├── ScenarioScene.tsx
│       ├── OutroScene.tsx
│       └── BrollScene.tsx    # Full-bleed video with Ken Burns + chapter banner
└── out/
    └── video.mp4             # Final render

---

script.json schema

{
  "title": "Main title shown on intro",
  "subtitle": "Intro subtitle",
  "voice_style": "(enthusiastic, passionate)",
  "voice_speed": 1.0,
  "scenes": [
    { "id": "intro", "type": "title", "duration": 6,
      "title": "Multi-line\ntitle",
      "subtitle": "Tagline shown beneath",
      "narration": "Voiced over this scene." },

    { "id": "stat-94", "type": "stat-counter", "duration": 7,
      "value": 94, "suffix": "%",
      "label": "Multi-line\nlabel",
      "source": "Source, 2026",
      "narration": "..." },

    { "id": "wrong-movie", "type": "broll", "duration": 11,
      "broll_query": "factory robotic arm",
      "subtitle": "Chapter banner text",
      "narration": "..." },

    { "id": "chart", "type": "bar-chart", "duration": 14,
      "title": "Chart title",
      "data": [{ "label": "Row", "value": 74.5 }],
      "narration": "..." },

    { "id": "comparison", "type": "comparison", "duration": 12,
      "left":  { "label": "Exposed",  "items": ["Master's", "+47% salary"] },
      "right": { "label": "Protected", "items": ["Cooks", "Mechanics"] },
      "narration": "..." },

    { "id": "quote", "type": "kinetic-quote", "duration": 9,
      "lines": ["Line 1,", "line 2,", "final punch line."],
      "narration": "..." },

    { "id": "scenario", "type": "scenario", "duration": 14,
      "title": "Scenario title",
      "before": { "label": "Today", "value": "10 consultants", "detail": "..." },
      "after":  { "label": "2 years", "value": "3 consultants",  "detail": "..." },
      "punch": "Italic punch line",
      "narration": "..." },

    { "id": "outro", "type": "outro", "duration": 9,
      "title": "Your brand",
      "subtitle": "Your tagline",
      "url": "yoursite.example",
      "narration": "..." }
  ]
}

---

Workflow

1. Adapt your article into script.json

Pacing rule:

• 3-4 spoken words per second of scene at voice_speed 1.0
• Keep each scene's narration within budget (e.g. a 6s scene ≈ 20-24 words max)
• Pick scene types: data-anim for numbers/comparisons, broll for narrative beats, kinetic-quote for impact lines

2. Prepare the voice reference

ffmpeg -i /path/to/narrator_sample.mp3 -ar 48000 -ac 1 -y audio/_ref.wav

3. Batch-generate voice clips

~/.venvs/voxcpm/bin/python batch_tts.py

Loads the VoxCPM2 model once, generates all clips with cloning + the voice_style prefix, cfg=2.5, 12 steps. RTF ~3x on Apple Silicon.

4. Fetch b-roll from Pexels

export PEXELS_API_KEY="..."   # free key: https://www.pexels.com/api/
python3 fetch_broll.py

Downloads via curl with a User-Agent (Python urllib gets 403 on the Pexels CDN).

5. Normalize b-roll (CRITICAL)

./normalize_broll.sh

Pexels clips come in a wild mix of fps (24, 25, 30, 60, 100) and resolutions (720p to 4K). Remotion's Video component struggles with mismatched fps and H.264 B-frames. This script re-encodes everything to 1920×1080 @ 30fps H.264 baseline, no B-frames, GOP 30 — eliminates stutter. Do not skip this step.

6. Build the voice timeline

python3 build_voice.py

• Measures per-clip wpm
• Applies mix A+B normalization: clips in the 150-200 wpm band are untouched (natural variability kept), outliers are brought back to the nearest band edge via ffmpeg atempo (clamped 0.85-1.35x)
• Adds 0.3s lead silence + 0.5s trailing silence per clip
• Concatenates into public/voice.wav
• Writes public/scene_timings.json — this drives Remotion's per-scene durationInFrames (audio-first architecture)

7. Render

npx remotion render Main out/video.mp4 --codec h264 --pixel-format yuv420p --crf 18 --concurrency 4

~5 min for 2 min of 1080p at concurrency=4 on an M-series Mac.

---

Architecture principles (learned the hard way)

Audio drives timing, not the reverse

build_voice.py generates clips → measures actual durations → writes scene_timings.json → Root.tsx imports this to set each scene's durationInFrames. The visual adapts to the audio, not the other way. This avoids per-clip speed-compensation that creates uneven pacing.

Mix A+B voice pacing

VoxCPM2 produces wildly variable tempi (150-315 wpm on identical ref voice, depending on content). Don't force uniform speed — it either butchers the slow clips or leaves the fast ones untouched. Instead:

• Clips in the 150-200 wpm band: don't touch
• Outliers: normalize to the nearest band edge, capped at 0.85-1.35x atempo

Short Voice Design prefixes only

Long prefixes (e.g. a 7-adjective style description) cause VoxCPM to generate 2-3x longer audio than expected. Keep prefixes to 2-4 descriptors: (enthusiastic, passionate).

B-roll must be normalized before use

Pexels videos have B-frames, variable fps, and varied resolutions. Remotion's Video tag produces glitchy/stuttery playback on anything not conforming to the composition's fps + H.264 baseline. Always run normalize_broll.sh after fetch_broll.py.

Chapter vs fade transitions

Fade everywhere (10 frames) for smoothness, slide spring (16 frames) at semantic chapter changes. Scene IDs in CHAPTER_BOUNDARIES set in both Root.tsx and Main.tsx trigger slide — alternate direction (from-right/left/bottom) for rhythm.

Typography

Pick one display family and use weight contrast (400 body vs 800 titles vs 900 stats) and aggressive negative letter-spacing (-1 to -14 depending on size) for punchy display text. Define these tokens in src/brand.ts.

---

Scene component API

Every scene component receives { scene: any } props and reads fields from script.json. Common patterns:

• Entry animations: spring({ frame, fps, config: { damping: 14, stiffness: 90 } }) + interpolate(s, [0,1], [startY, 0]) for translateY-fade-in
• Stat number ramp: interpolate(frame, [10, 10+rampFrames], [0,1]) cubic-eased, then post-ramp pulse via Math.sin
• Stagger: frame - (i * spacing + offset) offsets each element's animation start
• Ken Burns: scale(1.02 + t * 0.04) where t = frame / durationInFrames

---

Dependencies

• Node.js 18+, npm
• Remotion 4.x suite (cli, transitions, google-fonts, media-utils, animation-utils)
• Python venv with VoxCPM2 + soundfile (see the local-tts skill)
• ffmpeg, ffprobe
• Pexels API key (free; set PEXELS_API_KEY in the env)
• A short voice-reference clip for cloning
• A background ambient music track at public/music.mp3

---

Gotchas cheat sheet

Symptom	Cause	Fix
B-roll stutters	Source fps != 30, B-frames	normalize_broll.sh
Intro voice way faster than rest	Long Voice Design prefix bloated audio	Shorten to 2-4 descriptors
One scene feels super rapid	VoxCPM produced 250+ wpm raw	Regenerate, or let mix A+B clamp it
Uneven voice pacing	You tried to force uniform speed	Switch to mix A+B approach in build_voice.py
Fonts look generic	Using default weight 400	Push to 800-900 with LS -1 to -14 for display
Scene too cluttered	Trying to animate everything	Data/stats = anim; narrative = broll

---

Delivery checklist

• Brand tokens set in src/brand.ts
• B-roll normalized (fps probe = 30, no B-frames)
• Voice pacing uniform-feeling (no outlier > 205 wpm after build_voice.py)
• Music ducked appropriately
• Logo visible on every scene (corner watermark or prominent on key scenes)
• Subtitles on non-text scenes (stat, comparison, scenario)
• Transitions: fade default, slide at chapter changes