launch-film
Skill1 starsChanged 45 days agoMITView on GitHub
Make an Apple-style product launch, promo or ad video rendered frame by frame in code: an HTML page paints any moment through seek(t), headless Chrome captures it (one process per worker, 4-sample motion blur) and ffmpeg encodes. Cuts lock to the measured beat grid of a generated score; ElevenLabs music, voiceover and sound effects; Gemini/GPT art; speech-to-text verifies every voice line; a still-by-still critique loop. Use when asked for a product video, launch film, app trailer, promo or ad video, motion presentation, or animated explainer made from code, or to add music, voiceover or sound to such a film.
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- Installs packages
10 other projects use a version of this.
Adopted by
Most recently taken up by
- zuckenbert/video-from-codetheir own version, first seen Nov 8, 2026
- akachandan1/video-studiotheir own version, first seen Nov 8, 2026
- getedgehq/skillstheir own version, first seen Nov 1, 2026
- Shop-OS/sloosh-plugintheir own version, first seen Oct 25, 2026
- langchain-ai/design-agenttheir own version, first seen Oct 25, 2026
- deepshal99/launch-filmtheir own version, first seen Oct 11, 2026
Other versions10 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 10
- langchain-ai/design-agent★ 596same name
- SkylarKitchen/skills★ 158same name
- timscheuerai/launch-video-kit★ 16same name
- Neelshah1810/Claude-Video-Skills★ 6same name
- getedgehq/skills★ 5same name
- akachandan1/video-studio★ 2same name
- Anann99/launch-film-skill★ 0same name
- deepshal99/launch-film★ 0same name
- Shop-OS/sloosh-plugin★ 0same name
- zuckenbert/video-from-code★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 1 is distinctive, and 3 are very specific to this project.
0
Common
Most of the 10 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
3
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 48
Put the measured bpm/firstBeat in timeline.json and place cuts on measured events (bass entry, two-bar swells, the drop).
- Very specific: line 54
Voice: Write lines in audio.json → voice, run scripts/gen_vo.py main alt, then scripts/qa_speech.py.
- Very specific: line 68
Every value is a pure function of t (closed-form springs from src/lib/motion.js).
- Distinctive: line 72
No hard cuts: each shot hands an object or the camera to the next one.
“Common” is measured: kept by at least 6 in 10 of the 10 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Launch film rendered in code
Produces a 30–70 s film (16:9, 1080p60 by default) plus a voiceover cut, an alternate-voice cut, a music-only cut, captions, posters and a contact sheet. A full 1080p60 render with motion blur takes about 2 minutes on 12 workers, so iterate freely.
Prerequisites
Google Chrome, ffmpeg, Node 18+, python3 with Pillow, and uv (for librosa/requests). Keys in the
environment, never written into the project: ELEVENLABS_API_KEY (music, voice, sound effects, speech-to-text),
optionally GEMINI_API_KEY (images, Lyria music) and OPENAI_API_KEY (images with transparency).
Start
new_film.sh sits next to this file (global install: ~/.claude/skills/launch-film/, project install:
./.claude/skills/launch-film/).
bash <this skill's folder>/new_film.sh <film-dir> # copies template/, npm install
cd <film-dir> && node scripts/render.mjs stills 1,4,8,12,18 && python3 scripts/sheet.py review/stills review/sheet.jpg 5 400The template renders a working 20 s film (title → phone with pop-out and tap → end card). Everything is timed from
timeline.json, which both src/stage.js and the audio scripts read.
Gates — do not skip
- Study. References: download the videos the user points to, tile frames with ffmpeg (
fps=N,tile=4x4), and write down pacing, type and transitions shot by shot. Product: collect real screens and screen recordings (extract frames with ffmpeg), the brand fonts, colors and icon, and the claims the film may make (only claims the product backs). Check the current UI in code: captures go stale (a rebuilt button, a new flow). - Brief. Fill
BRIEF.md: logline, three brand colors, headline + accent fonts, one background, beat sheet with a state list per shot, claims. One idea per shot. - Score first. Fill
audio.json→musicGen(sections in bars), runscripts/gen_music.py(2–3 seeds), thenscripts/analyze_music.py. You cannot listen: pick by grid fit and dynamics (quiet intro, lift, peak, drop). Put the measuredbpm/firstBeatintimeline.jsonand place cuts on measured events (bass entry, two-bar swells, the drop). Trim a silent or sparse opening by whole bars (musicStart), lift the rest (introLift). - Rig and stills. Build shots in
src/stage.js. Render stills at key times, make a contact sheet, score every shot out of 10, fix the three worst problems, repeat until nothing is under 8. - Animatic.
render.mjs video --fps 30 --scale 0.5, then tile frames around each transition (ffmpeg -ss A -to B -vf "fps=8,scale=480:-2,tile=6x4") and check the hand-offs. - Voice. Write lines in
audio.json→voice, runscripts/gen_vo.py main alt, thenscripts/qa_speech.py. Lines are placed by speech-to-text word timings; anchor the key word to its beat; split one take instead of stitching fragments; no silence longer than ~1.5 s in the first 10 s. - Sound and mix.
scripts/gen_sfx.py, thenscripts/mix_audio.py(per-cue loudness, voices duck the score, −14 LUFS). Check the mix without ears: speech-to-text on the first 15 s, per-second levels, a spectrogram with cue markers. - Final.
render.mjs video --fps 60 --sub 4 --shutter 0.5 --workers 12, mux each mix, write SRT captions from the measured voice timings, render poster stills, a contact sheet, and a README with sources and open claims.
Rules
Detail and reasons: references/craft.md. Bugs already paid for: references/pitfalls.md (read before writing
code). Short version:
- Every value is a pure function of
t(closed-form springs fromsrc/lib/motion.js); nothing reads a clock, no CSS transitions, no unseeded randomness. - Type enters per word (blur 14 → 0 px, rise 28 px, heavy spring) and exits blurring up. One accent phrase per headline, in the accent font and color. Headline position stays the same shot to shot.
- No hard cuts: each shot hands an object or the camera to the next one.
- Real product UI over mock UI; pop real crops out of the screen. Rebuild stale components in HTML from the code.
- The voiceover speaks the headlines in its own words and goes quiet for the product's own sounds.
- Deliver a voiceover cut and a music-only cut; the first seconds must work muted (autoplay).
Commands
node scripts/render.mjs stills 2.5,8,14 [--scale 0.5] [--dir review/x]
node scripts/render.mjs video --fps 30 --scale 0.5 --out out/animatic.mp4
node scripts/render.mjs video --fps 60 --sub 4 --shutter 0.5 --workers 12 --out out/master.mp4
uv run --with requests python3 scripts/gen_music.py [lyria]
uv run --with librosa --with matplotlib python3 scripts/analyze_music.py assets/audio/music/*.mp3
uv run --with requests python3 scripts/gen_vo.py main alt [chorus] [--only id,id]
uv run --with requests python3 scripts/qa_speech.py assets/audio/vo/main
uv run --with requests python3 scripts/gen_sfx.py
python3 scripts/mix_audio.py out/mix_vo.wav --vo main # no --vo for the music-only mix
ffmpeg -i out/master.mp4 -i out/mix_vo.wav -map 0:v -map 1:a -c:v libx264 -preset slow -crf 17 -pix_fmt yuv420p \
-c:a aac -b:a 256k -movflags +faststart -shortest out/film.mp4Does it work?
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