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Get Started Free →Assemble a ChatGPT chat-reveal video ad from a thread + timeline JSON — one continuous Playwright recording of a ChatGPT mobile chat (user types with the iOS keyboard up → taps send → keyboard slides down + header cluster swaps in one beat → one gray loading dot → the assistant answer streams in word-by-word) crossfaded into a designed end card, with subliminal ChatGPT SFX and an optional ducked music bed. FREE assembly (Playwright + ffmpeg); the recipe supplies the per-brand thread + timeline +
.claude/skills/gooseworks-ai-render-chatgpt-chat/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 315% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -8% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -34% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 19% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 70% | 0% |
The free renderer for the chatgpt-chat video ad format — the "I just asked ChatGPT…" creative, where someone asks ChatGPT a question and the streamed assistant answer is the punchline (the brand surfacing as the natural response). Deterministic Playwright + ffmpeg assembly; no generative video of the UI, so the bubble text and streamed answer stay pixel-crisp.
This is the ChatGPT sibling of render-imessage-chat. Reach for this one when ChatGPT is the more credible host for the answer; reach for iMessage when the punchline is a peer's reaction in a DM. The template recipe (DB) supplies the per-brand thread + timeline + end_card config and gates the paid music call (music bed → create-music-elevenlabs) to its own capability.
One continuous take — never scene-by-scene (every reload flickers):
composer-type).the header right-cluster swaps (personPlus/dottedCircle → edit/more) all on the same t. Never sequence them across frames.
typing, wrong app), silently (no SFX on the dot).
stream-words, ~7 wps) with asoft opacity ramp; the conversation auto-scrolls to keep it in view.
pill) and mux a ducked music bed → master MP4.
The chat records at the ChatGPT-native ~9:19.5 (default 750×1624) to match a real iPhone screen recording. Never stretch the chat to a different aspect ratio — the end card is scaled-to-fit + padded to the chat's dimensions in stitch, so the chat is never touched.
bashcd scripts && npm install # once — installs Playwright npx playwright install chromium # once node record-chat.js --config config.json --out-dir <work> # → master-chat.mp4 + .sfx.json node render-end-card.js --config config.json --out-dir <work> # → scene-end-endcard.mp4 bash stitch.sh --chat <work>/master-chat.mp4 --end <work>/scene-end-endcard.mp4 \ --sfx <work>/master-chat.sfx.json --out <work>/master-final.mp4 \ --pad-color "#ffffff" [--music <work>/music-bed.mp3] [--also-1x1]
record-chat.js — reads config.json (thread + timeline + geometry),renders the bundled create-chatgpt-mockup HTML once with every message pending, walks the timeline on requestAnimationFrame inside the page, records it as one continuous MP4, and emits the deterministic SFX cue list.
render-end-card.js — fills end-card.template.html from config.end_card(wordmark/logo_svg, stars, proof, trust trio, CTA, colors) → still MP4. This is the SAME generic end card as render-imessage-chat (copied verbatim).
stitch.sh — normalizes the end card to the chat's dimensions, crossfadeschat → end card, layers the subliminal ChatGPT SFX, optionally ducks a music bed under it, and optionally derives a 1:1 crop. All FREE ffmpeg. Pass --pad-color = end_card.bg (default #ffffff, ChatGPT light mode) so the pad under the end card is seamless.
The ChatGPT chat HTML comes from create-chatgpt-mockup (its generate.js + templates/ produce the light-mode ChatGPT iOS HTML — status bar, header, message rows, streaming word-spans, composer, and the inline iOS keyboard). Those files are bundled into scripts/mockup/ so this capability renders the chat body standalone — no sibling fetch of create-chatgpt-mockup is required. record-chat.js does require('./mockup/generate.js').
The keyboard is inlined by the mockup (renderKeyboard) — no separate keyboard atom.
| Kind | Meaning | |---|---| | composer-type | { text, dur_sec } — type into the composer. SFX = one key-tap per word. | | composer-clear | Wipe the composer instantly (fire at send-tap). | | keyboard-show / keyboard-hide | Slide the iOS keyboard up / down. | | send-tap | Pulse the send button. SFX = send-tap. | | pop | { target: <msg-id> } — reveal a message row. | | header-swap | { value: "alt" } — swap the header right-cluster. | | loading-dot-show / loading-dot-hide | { target: <dot-id> } — the single gray dot. | | send-state | { value: "streaming"\|"active" } — composer send-button state. | | stream-words | { target, dur_sec, wps } — reveal the assistant answer word-by-word. SFX = stream-tick every 12 words + response-done at the end. | | scroll-to | { target, dur_ms } — smooth-scroll a row into view. |
See scripts/config.example.json for the canonical thread + timeline (the "one beat" send-tap and the streamed list answer are both wired there).
AI-rendered text — the bubbles, the streamed answer, and the end-card copy are all real HTML/PIL, never invented by a model.
thread (light-mode ChatGPT,assistant message set stream: true), the timeline, the end_card (prefer a real logo_svg wordmark), and an optional music bed.
send-tap -20dB, stream-tick -32dB, response-done -22dB, and never a cue on the loading dot. Set "sfx": false in the config to ship the chat silent.
create-music-elevenlabs (paid, proxy-routed, billed to the Ads agent) and passes the file into stitch.sh --music.
(key-tap/send-tap/stream-tick/response-done) were lost from Git LFS (the objects 404 on the server), so assets/sfx/*.wav are freshly synthesized subliminal clicks/ticks. They work as-is; swap in real wavs (same filenames) for tuned SFX.
/tmp/gooseworks-scripts/render-chatgpt-chat/scripts/… — the chatgpt-mockup generator + templates are bundled under scripts/mockup/, and the generic end card is bundled under scripts/. No /Users/… or repo-relative paths, and no required sibling fetch.
install chromium).
send-tap beat (never visible while the answer streams).
end_card.bg.Other measured skills in the registry, with their headline benchmark lift.