launch-film
Skill1 starsChanged 11 days agoMITView on GitHub
Make a short, cinematic launch film for an AI model (speech, vision, any modality) out of the model's own real outputs - a title among images that flies into a real example, the example playing as light, a small symbolic network turning it into outputs, quick cuts across more examples, and an end card with the link. Every frame is HTML rendered deterministically to video, so it is precise, editable and re-renderable. Use when someone wants a launch video, release film, model teaser or "a video like the Hima one".
- Installs packages
11 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
- Dwite/launch-filmtheir own version, first seen Oct 20, 2026
Other versions11 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 11
- langchain-ai/design-agent★ 619same 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
- Dwite/launch-film★ 1same name
- Anann99/launch-film-skill★ 0same name
- deepshal99/launch-film★ 0same name
- Shop-OS/sloosh-plugin★ 0same name
1 more not listed
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.
In this repository2 other files it gives its agents.
- explainer-videoSkill
- visual-explainerSkill
The file
We split this skill into the rules it gives an agent
3 rules. 0 are common, 2 are distinctive, and 1 is very specific to this project.
0
Common
Most of the 11 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 14
No video editor. A frame is a pure function render(t), so any shot can be re-rendered, retimed or restyled in seconds and the result is …
- Distinctive: line 19
Real or nothing: Every word, number, transcript and decision on screen is the model's actual output on the actual clip shown.
- Distinctive: line 47
Check: every cut and every text frame at phone width before calling it done.
“Common” is measured: kept by at least 6 in 10 of the 11 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
A 40-50 second film that makes a model feel like a discovery, built from the model's real outputs.
The reference is the Hima ASR launch film (a speech model): intro among images → one real noisy call
plays as light → the camera turns it into frames → a small network → transcript and decisions →
more languages → end card. Read references/story.md for that film beat by beat.
Everything is HTML/canvas rendered frame by frame in headless Chromium, then joined with ffmpeg.
No video editor. A frame is a pure function render(t), so any shot can be re-rendered, retimed or
restyled in seconds and the result is identical every time.
The five rules that made it work
- Real or nothing. Every word, number, transcript and decision on screen is the model's actual
output on the actual clip shown. Run the model on the exact mix you play (with the noise, the trim,
the lead), not on a cleaner version. If a number would embarrass you, pick a different clip; never
draw a bar by hand.
references/truth.md. - Stills before motion. For any new look, render 2-6 still frames side by side and get a pick before rendering video. A still takes seconds; a render takes minutes; a wrong render costs trust.
- Judge type at phone size. Most people watch on a phone where a 1920 px frame is ~390 px wide.
Important text must be >= 40 px tall in the 1080p frame; long questions become short labels so they
can be big. Check every text frame by shrinking it to 390 px wide.
references/look.md. - One world per beat, hard switches between worlds. Each beat owns a palette (e.g. black + prism arc → saturated orange → cream with blue blooms). Inside a beat, motion is continuous; between beats, either a hard cut or a camera move into an object of the next world (the intro flies into a tile that is the first frame of the next shot).
- Compress time, not content. A repeated beat (more languages, more examples) reuses the approved layout and steps, only faster. Never invent a simpler layout to save time.
Workflow
- Gather truth first (
references/truth.md): pick 1 hero example + 3-4 quick ones, short (3-5 s each), trimmed tight. Run the model on the exact audio/video you will show; save the outputs as JSON next to the media. Check robustness (e.g. 10 noise placements) and only show what holds. - Write the beats (
references/story.md) as one line each with durations. Show them to the person. - Build each beat as its own HTML page from
templates/:intro.html,network.html,endcard.html. Each exposeswindow.render(t),window.DURandwindow.ready. - Stills:
node render.js stills 1.2,3.5,5.0per page; put them on one page for a pick. - Render:
node render.js film part.mp4per page, all pages in parallel (background jobs). - Join + sound (
templates/join.sh): concat the parts, lay the real audio at the right offsets, duck the music under speech, encode a web copy (<15 MB) and, on request, a lossless master. - Check every cut and every text frame at phone width before calling it done.
Templates
| File | What it is |
templates/render.js | Playwright driver: stills t1,t2,... or film out.mp4; PNG frames piped to ffmpeg |
templates/intro.html | title + lines appearing one beat apart, image tiles drifting around a prism arc, camera flies into one tile |
templates/network.html | input strip lights up as the sound plays, frames pour into a small symbolic network over a softly blended pre-neural diagram, two output streams, transcript + decision bars |
templates/endcard.html | black + prism arc, every supported language in its own script, name, two lines, link |
templates/make_grounds.py | the prism-arc ground and the cream/blue bloom ground (pure numpy) |
templates/gen_diagrams.py | pre-neural speech diagrams (vowel space, HMM, DTW, Viterbi, source-filter, vocoder) as SVG that draw themselves on |
templates/join.sh | concat parts + audio mix + web and master encodes |
Install once: npm i -g playwright && npx playwright install chromium, plus ffmpeg and Python with
numpy pillow. Fonts: Instrument Serif, IBM Plex Mono and the Noto Serif family for each
script you show (download the woff2 files locally so renders never depend on the network).
Read next
references/story.md- the beat structure and why each beat existsreferences/look.md- palettes, type sizes, backgrounds, motion, what to avoidreferences/truth.md- real clips, verifying outputs, robustness checksreferences/pipeline.md- deterministic rendering, parallel renders, joins, audio, sizesreferences/lessons.md- traps that cost real time
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
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- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

