ad-creative-generation
Generate on-brand ad creatives — visuals + copy — for Google, Meta (Facebook / Instagram), and other paid platforms via the Hyper…
Generate images through the Hyper MCP with the unified `images_generate` tool — text-to-image, image-to-image, and branded ad creatives — choosing the model (gpt-image-2.5-flare, gpt-image-2.5-sunburst, nano-banana, nano-banana-pro, seedream-4.5) per task. Use when the user asks
Claude Code
$ npx -y skills add hyperfx-ai/marketing-skills --skill image-generation --agent claude-code
Codex
$ npx skills add hyperfx-ai/marketing-skills --skill image-generation -a codex -y
Cursor
$ npx skills add hyperfx-ai/marketing-skills --skill image-generation -a cursor -y
Gemini CLI
$ npx skills add hyperfx-ai/marketing-skills --skill image-generation -a gemini-cli -y
GitHub Copilot
$ npx skills add hyperfx-ai/marketing-skills --skill image-generation -a github-copilot -y
OpenCode
$ npx skills add hyperfx-ai/marketing-skills --skill image-generation -a opencode -y
Windsurf
$ npx skills add hyperfx-ai/marketing-skills --skill image-generation -a windsurf -y
name: image-generation description: Generate images through the Hyper MCP with the unified `images_generate` tool — text-to-image, image-to-image, and branded ad creatives — choosing the model (gpt-image-2.5-flare, gpt-image-2.5-sunburst, nano-banana, nano-banana-pro, seedream-4.5) per task. Use when the user asks to generate an image, create an ad creative, do an image-to-image edit, render text inside an image, or produce a print-quality poster. metadata: version: 1.0.0 requires_toolkits: - image_gen icon: image_gen short_description: Generate and edit images with one tool and a model choice, from ad creatives to product shots.
Generate images with the `images_generate` tool. It handles text-to-image, image-to-image (pass `reference_images`), and multi-image composition. By default (`model="auto"`) it picks the best model for the request; set `model` to choose one.
This skill assumes the [Hyper MCP](https://app.hyperfx.ai/mcp) is connected to your agent so the `images_generate` tool is available. For brand-consistent ad creative work, Firecrawl must also be configured under your Hyper integrations.
Every tool in this skill is named by its canonical tool name. Run it with the call your surface gives you:
| Surface | Find a tool | Run it | | --- | --- | --- | | Hyper chat | Call the tool by its name; `search_tools(queries=["<provider> <action>"])` shows its parameters | `<name>(...)` | | MCP client (Claude, Cursor, Codex, ChatGPT) | `search("<what you want to do>")`, then `describe("<name>")` | `call_read("<name>", {...})`, `call_write` or `call_destructive`: the one that `describe` names in `call_with` | | Hyper CLI | `hyperai search "<what you want to do>"`, then `hyperai describe <name>` | `hyperai call <name> --json '{...}'` |
If a tool is not found: in Hyper chat, find its toolkit id with `discover_toolkits` and pass it to `enable_toolkit`. On an MCP client or the CLI, tell the user which integration to connect in Hyper.
images_generate(
requests=[{"id": "ad1", "prompt": "A polished SaaS ad, clean composition"}],
aspect_ratio="16:9", # "1:1" (default), "9:16", "16:9", "4:5", "5:4", "2:3", "3:2", "3:4", "4:3", "21:9"
quality="standard", # "draft" | "standard" | "high"
n=1, # 1-4 images per request
model="auto", # see "Choosing a model" below
)`requests=[{"prompt": "Compose into a gift basket", "reference_images": ["file1", "file2"]}]`.
`model="auto"` is the right default. Override only when the task clearly calls for a specific model:
| Task | `model` | |------|---------| | First-pass concepts / quick ad ideation / everyday generation | `gpt-image-2.5-flare` | | Precise edits and branded compositions from reference images, production creative | `gpt-image-2.5-sunburst` | | Cheap iteration, image-to-image, the widest aspect ratios (adds 1:4, 1:8, 4:1, 8:1) | `nano-banana` | | Readable text inside the image (posters, labels, infographics) or search-grounded scenes | `nano-banana-pro` | | Product photography, material/fabric fidelity, accurate spatial depth | `seedream-4.5` |
See [references/image-prompting.md](references/image-prompting.md) for per-model prompt-writing tips.
If the user gives a website URL and wants on-brand creatives:
1. Call `firecrawl_branding_extract` with the URL → returns brand colors, fonts, personality/tone, and saved image files (logo, favicon, og_image). 2. Optionally `firecrawl_urls_scrape` with `formats=["screenshot"]` for visual context. 3. Write the prompt using the actual hex colors, font names, and tone, and pass the logo `file_id` in `reference_images`.
The branding result's `file` field is a JSON data file, NOT an image — never pass it as a reference. Only `logo.file_id` and `images.*.file_id` are usable images.
For multi-shot product or marketplace work, prefer the workflow tools — they preserve product identity and return structured results:
lifestyle, hero, carousel, ad pack). See [references/product-photoshoot.md](references/product-photoshoot.md).
secondary, A+ modules, Shopify). See [references/marketplace-cards.md](references/marketplace-cards.md).
Agent Skills for marketing — paid ads, social media, SEO, AI search, competitor research, ad creative generation, email lifecycle, analytics, operations, and more.
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