make-short — fully-TSX vertical shorts, end to end
SkillMediaBuild a fully-synthetic vertical short (1080×1920, ~40s) end-to-end from a topic — script + beats.json, linked TSX beats over a persistent canvas, phone-scale QA, render, ElevenLabs voice with exact word-synced captions, SFX audition, optional music bed. Use when the user wants to "make a short", "create a shorts video", build a TSX short for a niche (chess, math, algorithms, dev tips, Excel…), add voice/captions to a short, or continue the short-N series in this repo. This is the 100%-TSX track — for video-model pixels use make-ai-short, for the paper-collage documentary look use make-vox. Defers raw TSX crash rules to vidtsx-2d-generator and SFX taste to suggest-sfx + brand §7.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the make-short — fully-TSX vertical shorts, end to end skill
What this skill tells your AI
The instructions your AI receives, as published by hassancs91/claude-faceless-shorts-creator in .claude/skills/make-short/SKILL.md and read by ahel’s review.
Everything is code: no footage, no stock. One short = one Remotion composition fed by a
beats contract, with voice and SFX layered on after render. Proven across the 12 example
shorts in shorts/. The idea bank + niche ranking lives in IDEAS.md — read it when
picking a topic, and grow it when brainstorming.
Run everything from the repo root. Tools are stdlib-only Python 3.10+; ffmpeg/node
must be on PATH; API keys live in .env (see .env.example).
Artifact contract
shorts/short-N-<niche>/
script.md — hook, beat sheet table (time | on screen | VO), production notes
beats.json — machine contract: format, vo[] (text+start/end+words), beats[], niche timeline
voice/ — per-line TTS clips + voice.wav (gen_voice.py) [gitignored]
sfx-plan.json — cue sheet on the global timeline (mix_sfx.py)
output/ — short-N-sfx.mp4 (+ music auditions) [gitignored]
remotion/src/shots/short-N/
ShortN<Name>.tsx — THE composition (registered by npm run gen)
vo.gen.ts — AUTO-GENERATED VO with exact word times (never hand-edit)
Shared kit: remotion/src/lib/shorts.tsx (Captions, Kicker, BigTitle, Stamp, PauseCard,
StatChip, ProgressBar, ShortsBackdrop, SAFE areas, prog helper). Niche libs so far: lib/chess.tsx,
lib/math.tsx, lib/algo.tsx, lib/sheet.tsx, lib/piano.tsx, lib/prob.tsx, lib/map.tsx,
lib/orbit.tsx, lib/chart.tsx, lib/story.tsx… Add at most ONE new niche lib per short,
generic enough for a series.
Stage 1 — script + beats
Beat grammar (~38–42s): HOOK (0–3.4s, frame 0 FULLY composed — the payoff already visible, no fade from black) → SETUP → optional QUIZ (PauseCard, ~2.5s — drives comments) → REVEAL in 2–4 steps, each synced to a VO word → TWIST → LOOP (last frame == frame 0, dissolving the payoff back into the intro so it replays seamlessly).
Outros — no fluff. NEVER end on an old-school engagement-CTA — no "what should I do next?", no "comment below", no "which one should I break down". They read as dated. End on the PAYOFF line, and let the visual LOOP blend back into the intro — the loop-into-intro is the ending. Prefer a clean visual dissolve/reset that lands the last frame exactly on frame 0. If a seamless loop genuinely isn't possible for a topic, just end on the payoff with no filler. Don't pad the tail: trim the composition so it ends shortly after the payoff, not seconds of dead air.
VO rules: ~100 words total, estimate line windows at ~2.7 words/sec with slack to the next
line's start (tighter forces audible atempo squeeze — 3.3wps needed a 1.3× squeeze; 2.7wps
peaked at 1.11×). Facts must be verified before scripting. Write script.md + beats.json
(vo lines with estimated start/end; niche timeline in global SECONDS).
Stage 2 — the composition
- One
.tsxunderremotion/src/shots/short-N/,compositionConfig1080×1920 @30, ~42s. Follow vidtsx-2d-generator's hard rules (frame-based only, monotonic ranges, Easing.bezier). - Beats =
<Sequence>scenes over ONE persistent canvas (the board/equation/array is the continuity — rewinds and evolutions happen in a single component's timeline, not cuts). Captions lines={VO}+ProgressBarmounted at the ROOT (global time), scenes beneath.- THE recurring bug: frames inside a
<Sequence>are LOCAL. Converting a global beat second to a scene cue islocal_f = global_s*fps − sequence_from. Check every cue twice. - Frame-0 rule: hook scene uses
warmprops (BigTitle/EqRow) and negativeats so highlights/ stamps are already on at f0. Loop scene reverses the hook's punch-in (settle 1.06→1 vs grow 1→1.06) so the video loops seamlessly. - Safe areas: captions block centered ~y1500; nothing critical in bottom 340px / right 160px.
Stage 3 — QA (do not skip, it catches real bugs every time)
cd remotion && npm run gen # frames.mjs does NOT run gen-registry itself
node scripts/frames.mjs ShortNName 0,<beat-boundaries+hero-frames>,<last> --scale=0.5
READ every PNG (phone scale). Checklist: frame 0 composed & thumbnail-grade · every reveal synced to its beat · nothing covering the payoff element · kickers swap with the narration · captions clear of UI zones · loop frame ≈ frame 0. Fix, re-render frames, only then:
node scripts/render-all.mjs ShortNName --scale=1 # -> remotion/out/ShortNName.mp4
Stage 4 — voice (ElevenLabs, word-exact captions)
python tools/gen_voice.py --beats shorts/short-N-<niche>/beats.json \
--voice TX3LPaxmHKxFdv7VOQHJ --emit-ts remotion/src/shots/short-N/vo.gen.ts
- Per-line TTS with
/with-timestamps→ REAL per-word times (tempo-scaled, global) written into beats.json ANDvo.gen.ts. The shot imports{ VO } from './vo.gen'— captions then highlight on the exact spoken word. Never estimate when a voice track exists. - Clips are cached by text-hash: rewriting one line only re-bills that line.
- Voice: the examples use ElevenLabs premade "Liam" (
TX3LPaxmHKxFdv7VOQHJ); swap in any voice (including your own clone) with the--voiceflag + regen. - Then re-render the composition (captions retimed) and mux:
ffmpeg -i remotion/out/<Id>.mp4 -i shorts/.../voice/voice.wav -map 0:v -map 1:a -c:v copy -c:a aac -b:a 192k -t 42 remotion/out/<Id>-voiced.mp4
Stage 5 — SFX (the suggest-sfx machinery, shorts flavor)
Read brand.md §7 + media/library/sfx/catalog.json. Library-first; add generic recipes to
palette.json + python tools/gen_sfx.py only for genuine misses. Author
shorts/short-N-<niche>/sfx-plan.json (preview = the -voiced.mp4, out = output/short-N-sfx.mp4).
Shorts taste adaptations: diegetic action sounds are the content (piece thocks, digit
pops) and may exceed long-form density; decorative cues stay optional: true; layer the 2–3
hero moments (capture+stamp, carry flight+landing+chime). Cue times from EXACT landing frames:
at_s = (move.at + move.dur + sequence_from) / fps.
PYTHONIOENCODING=utf-8 python tools/mix_sfx.py shorts/short-N-<niche>/sfx-plan.json --print
PYTHONIOENCODING=utf-8 python tools/mix_sfx.py shorts/short-N-<niche>/sfx-plan.json
The mix is an AUDITION — the user's ear is the audit gate before anything is called final.
Update catalog used_in afterwards.
Stage 6 — music (optional, per video)
Library beds in media/library/music/ (gen_music.py to grow). Audition over the SFX mix:
python tools/mix_music.py --all --base shorts/short-N-<niche>/output/short-N-sfx.mp4
(or --bed <id>). Hard-ducked under voice.
Done =
script.md + beats.json authored (facts verified) · composition QA'd frame-by-frame · rendered at scale 1 · voice generated with word-exact captions and muxed · SFX plan authored + audition mixed (~−15.5 LUFS, awaiting the user's ear) · library used_in updated · IDEAS.md queue updated.
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- Last commit
- Aug 2026
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make-short- Source
- github.com/hassancs91/claude-faceless-shorts-creator