gooseworks-ai/render-chatgpt-chat
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 + end-card config and gates the paid music call to its own capability. The ChatGPT sibling of render-imessage-chat. Use for the chatgpt-chat format.
npx skills add https://github.com/gooseworks-ai/goose-skills --skill render-chatgpt-chat
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.
cd 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.Take gooseworks-ai/render-chatgpt-chat from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.
The instructions reference npm, npx.
Without those the skill loads but fails at the first command.