video-delivery
Skill2 starsChanged 44 days agoMITView on GitHub
Render, finish and verify the final files of a code-made HyperFrames video — wide 1920×1080, square 1080×1080, 4K 3840×2160 — with CRF 16 picture, AAC 320k audio, ffprobe pass conditions, loudness printout, contact sheets, the phone-size check, upload limits and when to post on LinkedIn. Use when a video is final and needs exporting, re-exporting, checking or preparing for LinkedIn / X / Facebook. Creative work is in video-studio.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- Sanidhya14321/video-forgetheir own version, first seen Oct 25, 2026
- indranilbanerjee/cutforgetheir own version, first seen Oct 20, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- Sanidhya14321/video-forge★ 2same name
- indranilbanerjee/cutforge★ 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.
In this repository2 other files it gives its agents.
- ai-video-shotsSkill
- video-studioSkill
The file
We split this skill into the rules it gives an agent
3 rules. About 0 are common, 2 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
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 15
If music or SFX times changed in settings.js: node tools/sync-audio.mjs and node tools/sync-audio.mjs square.html.
- Distinctive: line 58
Never upload the 4K master to social.
- Distinctive: line 59
When to post (Buffer 4.8M posts, Social Champ 2.6M, Sprout Social): Tue–Thu, 10:00–12:00 in your audience's time zone, Wednesday strongest.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Deliver a code-made video
Mechanical work: a small, cheap model can run this without the creative context. Scripts are in
example/tools/ of this repo.
Before rendering
- Close other apps (on a 16 GB laptop renders slowed down ~2× when memory was short).
npx --yes hyperframes@<version> lintandcheckmust pass for every composition you render (checksilently skips layout audits while lint has errors).- If music or SFX times changed in
settings.js:node tools/sync-audio.mjsandnode tools/sync-audio.mjs square.html.
Render (picture at CRF 16), then finish the audio
HyperFrames has no audio-bitrate flag, so each render gets one audio-only pass (picture copied untouched, AAC 320k 48 kHz stereo, faststart). Never re-encode the picture a second time.
# wide
npx --yes hyperframes@<version> render --crf 16 --workers 4 --output renders/_wide.mp4
bash tools/finish-audio.sh renders/_wide.mp4 renders/<name>-wide.mp4
# square (its own re-laid-out composition, never a crop)
npx --yes hyperframes@<version> render -c square.html --crf 16 --workers 4 --output renders/_square.mp4
bash tools/finish-audio.sh renders/_square.mp4 renders/<name>-square.mp4
# 4K master of the wide version (2× supersampled; run alone)
npx --yes hyperframes@<version> render --resolution landscape-4k --crf 16 --workers 4 --output renders/_4k.mp4
bash tools/finish-audio.sh renders/_4k.mp4 renders/<name>-4k.mp4Measured on a 45 s, 30 fps video (Intel i5 laptop, 16 GB, --workers 4, other apps closed):
square 5m19, 4K 17m57 (217 MB). With 1 worker and a busy machine the wide render took ~15 min.
Closing your normal browser mid-render is safe: HyperFrames uses its own headless Chrome.
Pass conditions (run, don't assume)
ffprobe -v error -show_entries stream=codec_name,width,height,r_frame_rate,pix_fmt,color_space,bit_rate,sample_rate,channels -show_entries format=duration -of compact renders/<file>.mp4- Size 1920×1080 / 1080×1080 / 3840×2160;
r_frame_rate=30/1; the intended duration ±1 s; h264, yuv420p, bt709; exactly one audio stream, aac 48000 Hz stereo, ~300k (AAC at a 320k target averages ~300k). - Loudness printout (per 0.25 s RMS) around deliberate silences, drops and the fade: silence must read below about −75 dB, the fade must fall steadily.
- Contact sheet, one frame every 1.5 s, labels matching real frame times:
bash tools/contact-sheet.sh renders/<file>.mp4 renders/<file>-contact.jpg. Look at it: nothing cut off at the edges, every scene present. - Full-size frames at each scene change (+0.15 s): only one scene visible.
- Phone check: watch muted at ~400 px wide. The big words alone must tell the story.
- Compare the final against the approved draft (mean frame difference < ~1 grey level) to prove nothing changed between review and render.
Upload notes (checked October 2026)
- LinkedIn (official): MP4, ≤10 min, ≤5 GB, 192 kbps–30 Mbps, max 4096×2304. Upload natively. Square or 4:5 (1080×1350) fills more of the feed than 16:9. Burned-in words; don't rely on sound.
- X: 16:9 or 1:1, under 60 s; keep key text away from the bottom edge.
- Facebook: square or vertical; keep text inside the centre safe zone.
- Never upload the 4K master to social; it is the archive copy.
- When to post (Buffer 4.8M posts, Social Champ 2.6M, Sprout Social): Tue–Thu, 10:00–12:00 in your audience's time zone, Wednesday strongest; newer data also favours 15:00–17:00. Where the work week is Sunday–Thursday (e.g. Israel), Tuesday or Wednesday morning is mid-week both at home and abroad. Your own analytics after 2–3 posts beat any study.
- Posting is the owner's job. An agent never posts on their behalf.
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
- Partly
- 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.

