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…
Creates a new graphics format spec (custom canvas dimensions + content rules) and publishes it to the Gooseworks library so any agent can render against it. Use when the existing community formats (carousel, story, infographic, slides, poster, chart, tweet, plus community
$ npx -y skills add gooseworks-ai/goose-skills --skill goose-graphics-create-format --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/goose-graphics-create-formatContext preview
The summary Claude sees to decide when to auto-load this skill.
Creates a new graphics format spec (custom canvas dimensions + content rules) and publishes it to the Gooseworks library so any agent can render against it. Use when the existing community formats (carousel, story, infographic, slides, poster, chart, tweet, plus community
name: goose-graphics-create-format description: > Creates a new graphics format spec (custom canvas dimensions + content rules) and publishes it to the Gooseworks library so any agent can render against it. Use when the existing community formats (carousel, story, infographic, slides, poster, chart, tweet, plus community additions) don't fit the user's canvas — e.g., LinkedIn banner 1584×396, story cover 1080×1920, event flyer 8.5×11in. Mirrors goose-graphics-create-style but for formats. tags: [design, content]
Authors a new graphics format and publishes it to the central Gooseworks library via `npx gooseworks formats publish`. The output is a working directory with a `gooseworks-format.json` manifest plus at least one rendered example PNG paired with an existing style.
Use when the user wants a new named format with its own content rules — a story cover, a podcast cover, a square testimonial — that maps to one of the seven built-in canvas sizes (carousel, infographic, slides, poster, story, chart, tweet). The new format defines new rules and a new slug; it inherits dimensions from one of those canvases.
**Custom canvas dimensions are not supported.** If the user wants a canvas size that isn't in the seven built-ins (e.g. LinkedIn banner 1584×396, US Letter 2550×3300), tell them honestly — that requires a code change to the `goose-graphics` skill pack's `FORMAT_CONFIGS` and is out of scope for this skill. Suggest the closest existing canvas instead.
**Always check first:** run `npx gooseworks formats list` (or `formats search "banner"` etc.) to see whether a community-published format already covers the use case. If one fits, just use it via the regular `goose-graphics` flow.
this skill uses `goose-graphics/screenshot/screenshot.js` to render examples and pulls style specs via `npx gooseworks styles get <slug>`. Install via:
npx gooseworks install --claude --with goose-graphics
(Swap `--claude` for `--cursor` or `--codex` as needed.) See the install page on the hub for the canonical command: https://skills.gooseworks.ai/skills/goose-graphics
(`goose-graphics/screenshot/node_modules/` must exist). If not:
cd <path-to>/goose-graphics/screenshot && npm install && npx playwright install chromium
to authenticate.
and content density rules.
<working-dir>/ gooseworks-format.json # manifest (see "Manifest format" below) example-1.png # at least one rendered example (REQUIRED) example-2.png # optional; recommend 2–3 examples across styles example-3.png
The backend rejects publish with an empty `examples` array — at least one rendered example is mandatory.
A new format is **a new slug + new content rules over one of the seven built-in canvas sizes** — *not* a new canvas. Custom dimensions are not supported: every renderer in the system (CLI screenshot tool, hub, other agents) is locked to this allow-list, and creating a format with custom `width`/`height` would produce something nobody can render.
Pick the canvas the new format should use:
| Canvas slug | Dimensions | Best for | |---------------|------------|--------------------------------------------| | `poster` | 1080×1350 | Vertical hero composition, single panel | | `infographic` | 1080×var. | Tall vertical scroll, multi-section | | `carousel` | 1080×1080 | Square single panel / multi-slide | | `slides` | 1920×1080 | Widescreen / presentation | | `story` | 1080×1920 | Vertical full-screen (IG/TikTok stories) | | `chart` | 1080×1080 | Square data viz | | `tweet` | 1080×1080 | Square testimonial / social card |
Then ask the user:
counts, whether it's single-panel or multi-panel.)
The new format inherits the canvas's `width`/`height` exactly. Set the manifest's `width`/`height` fields to the canvas's dimensions verbatim (e.g. 1080/1350 for a poster-canvas format). Do not invent new dimensions — the publish step will reject anything that doesn't match one of the seven canvases.
If the user wants a canvas that isn't in the list (e.g. LinkedIn banner 1584×396), tell them honestly: that's a code change to the `goose-graphics` skill pack's `FORMAT_CONFIGS` and is out of scope for this skill. Suggest the closest existing canvas instead.
Suggest 2–3 descriptive names that lead with the platform / surface (e.g., `linkedin-banner`, `story-cover`, `podcast-cover`, `event-flyer-letter`). Slug must be lowercase-kebab-case (`[a-z0-9-]+`).
**Collision check:** run `npx gooseworks formats get <slug>` — if the catalog returns a hit, the slug is taken. Suggest an alternative.
(The user may omit `slug` from the manifest; the backend auto-generates one. On 409 the CLI prompts you to accept the server's suggested slug; pass `--yes` at publish time to auto-accept.)
This is the load-bearing field — it teaches future agents how to fill the canvas. Cover, in this order:
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
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…
Generate a single photoreal or designed image with OpenAI gpt-image via fal.ai. Supports gpt-image-1 (default, fixed sizes — the FAL fallback for Higgsfield's…
Generate an instrumental music bed via ElevenLabs Music, ROUTED THROUGH THE elevenlabs-proxy so it bills the Ads agent. Trims any sparse intro, loudnorm, fades…
Image-to-video (or text-to-video) via any FAL video model (Kling, Seedance, Veo), ROUTED THROUGH THE GooseWorks fal-proxy so the call bills the Ads agent. The…
Generate a voiceover (VO) clip via ElevenLabs text-to-speech, ROUTED THROUGH THE elevenlabs-proxy so it bills the Ads agent. Voice id + script text come from…
Scrape competitor ads from Google Ads by domain. Returns ad creatives, formats, and campaign details. Use for competitive ad research and messaging analysis.