mcpbeat

Render Chatgpt Chat

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.

29k tokens
context cost
the whole folder, loaded on every use
16
files
ships runnable scripts
0
copies elsewhere
how many repositories repackaged it
1086
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/gooseworks-ai/goose-skills --skill render-chatgpt-chat

What comes with it

109 683 bytes besides the instruction
assets/sfx/key-tap.wav
assets/sfx/response-done.wav
assets/sfx/send-tap.wav
assets/sfx/stream-tick.wav
scripts/config.example.json
scripts/end-card.template.html
scripts/mockup/generate.js
scripts/mockup/templates/chat.css
scripts/mockup/templates/icons.js
scripts/package.json
scripts/record-chat.js
scripts/render-end-card.js
scripts/stitch.sh
skill.meta.json
tests/smoke-test.md

The instruction itself

8 sections, as written by the author

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/dottedCircleedit/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.

How to use it

Copy the folder

Take gooseworks-ai/render-chatgpt-chat from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

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.

Install what it needs

The instructions reference npm, npx. Without those the skill loads but fails at the first command.