Render Chatgpt Chat Agent 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.

What it renders

One continuous take — never scene-by-scene (every reload flickers):

• User types in the composer with the iOS keyboard up (composer-type).
• Send-tap is ONE beat — the user bubble pops, the keyboard slides down, and

the header right-cluster swaps (personPlus/dottedCircle → edit/more) all on

the same t. Never sequence them across frames.

• One gray loading dot holds ~500ms (never three — three reads as iMessage

typing, wrong app), silently (no SFX on the dot).

• The assistant answer streams in word-by-word (stream-words, ~7 wps) with a

soft opacity ramp; the conversation auto-scrolls to keep it in view.

• Crossfade to a designed end card (wordmark + ⭐ proof row + trust trio + CTA

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.

Run

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, crossfades

chat → 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 chat body: bundled create-chatgpt-mockup

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.

Timeline events (consumed by record-chat.js)

| 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).

Contract

• FREE assembly: Playwright record + ffmpeg composite/mux + the bundled SFX. No

AI-rendered text — the bubbles, the streamed answer, and the end-card copy are all

real HTML/PIL, never invented by a model.

• The recipe (DB) supplies the per-brand config: the 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.

• SFX are subliminal by design (ChatGPT has no native chime): key-tap -28dB,

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.

Gaps / routing notes

• Music bed is an input, not generated here — the recipe gates it to

create-music-elevenlabs (paid, proxy-routed, billed to the Ads agent) and passes

the file into stitch.sh --music.

• Bundled SFX are synthesized stand-ins. The original four wavs

(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.

• Portability: everything runs from the fetched

/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.

• Requires ffmpeg/ffprobe on PATH and Playwright Chromium (`npx playwright

install chromium`).

Self-QC (per project rule — always /watch the master)

• Keyboard is up the whole time the user types, and slides down only on the

send-tap beat (never visible while the answer streams).

• Send-tap is one beat: user bubble + keyboard-down + header-swap on the same frame.
• Exactly one gray loading dot for ~500ms (not three), and no SFX on the dot.
• The answer streams word-by-word, left-to-right / top-to-bottom, not all-at-once.
• No OpenAI spiral logo above any assistant title (the spiral is empty-state only).
• No micro-flicker / scene cuts; the end-card pad color matches end_card.bg.