create-image-fal
Generate or edit an image via any FAL image model (nano-banana edit, gpt-image, flux, ...), ROUTED THROUGH THE fal-proxy so it bills the Ads agent. image_urls…
Render pixel-accurate ChatGPT mobile (iOS) screen mockups in light mode from a thread JSON. Supports user text bubbles, user image attachments, assistant markdown prose, citation chips, the OpenAI spiral logo, the Apps-SDK GPT chip in the composer, and three header styles
$ npx -y skills add gooseworks-ai/goose-skills --skill create-chatgpt-mockup --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/create-chatgpt-mockupContext preview
The summary Claude sees to decide when to auto-load this skill.
Render pixel-accurate ChatGPT mobile (iOS) screen mockups in light mode from a thread JSON. Supports user text bubbles, user image attachments, assistant markdown prose, citation chips, the OpenAI spiral logo, the Apps-SDK GPT chip in the composer, and three header styles
name: create-chatgpt-mockup description: Render pixel-accurate ChatGPT mobile (iOS) screen mockups in light mode from a thread JSON. Supports user text bubbles, user image attachments, assistant markdown prose, citation chips, the OpenAI spiral logo, the Apps-SDK GPT chip in the composer, and three header styles (model-tag, plain title, "Get Plus"). Fixed 9:16 viewport. Outputs HTML + PNG.
Generate single-frame ChatGPT mobile screens that read as real iOS captures — accurate header chrome, user/assistant message styling, composer pill, status bar, and the OpenAI spiral mark. Designed for use inside ad creatives, social posts, video storyboards, and product mockups.
If you need an **animated, video-recorded chat reveal** (bubbles popping over time, SFX, music bed, end card), use the molecule `skills/molecules/create-chatgpt-video-ad`. This atom only produces a single still frame.
Compose a `thread.json` matching the schema below, then pass it to `render.js`.
{
"statusBar": {
"time": "9:41",
"dnd": false
},
"header": {
"style": "model-tag",
"title": "ChatGPT",
"model": "5.1",
"rightIcons": ["personPlus", "dottedCircle"]
},
"messages": [
{ "type": "user-image", "src": "assets/photo.jpg", "aspect": "square" },
{ "type": "user-text", "text": "Make this face sunscreen better" },
{
"type": "assistant",
"title": "Optional H1 with spiral logo",
"feedback": true,
"text": "Markdown-ish prose. **bold**, *italic*, ## H2, * bullet, 1. ordered, [[cite:Source +1]], [[icon:💡]] inline-icon."
}
],
"composer": {
"placeholder": "Ask anything",
"text": "Typed text to show with caret",
"cursor": true,
"streaming": false,
"chip": { "name": "SeatGeek" }
}
}**`statusBar`**
**`header.style`** — one of:
**`header.rightIcons`** — array of icon keys, rendered left-to-right on the right side. Available: `"personPlus"`, `"dottedCircle"`, `"edit"`, `"more"`. Default is `["personPlus", "dottedCircle"]` for `model-tag`, `["edit"]` for `title-only`.
**`messages[]`** — one of:
**Assistant `text` markdown** — supported syntax:
**`composer`**
node render.js --thread examples/01-sunscreen-image.json node render.js --thread my-thread.json --output ./exports --name nightly
| Flag | Effect | |---|---| | `--thread <path>` | (required) JSON file matching the schema above | | `--output <dir>` | parent dir for the dated output folder; default `./chatgpt-mockup-exports/` | | `--name <slug>` | override the output folder slug |
<output>/<YYYY-MM-DD>-<slug>/ index.html # standalone HTML (CSS inlined) screenshot.png # 2250 × 4002 PNG (DPR 3, 9:16) thread.json # copy of the input for reproducibility
1. Receive a brief or existing thread JSON. 2. If only a brief is given, compose `thread.json` matching the schema above. 3. Run `node render.js --thread <path>`. 4. Open the PNG. If anything looks off (header alignment, bubble width, missing icon), edit the JSON or `templates/chat.css` and re-render.
cd create-chatgpt-mockup npm install npx playwright install chromium
Put your AI agent on the growth team. Research customers and competitors, analyze what is working, create the next campaign, and learn from the result.
Repo: gooseworks-ai/goose-skills
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