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/image-generation

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

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hyper-marketing
8830 skills1 MCP
Install
$ npx -y skills add hyperfx-ai/marketing-skills --skill image-generation --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/image-generation

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

image-generation.SKILL.md
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.

Image Generation

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.

Requirements

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.

How to run the tools in this skill

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 | | --- | --- | --- | | MCP client (Claude, Cursor, Codex, ChatGPT) | `search("<what you want to do>")`, then `describe("<name>")` | `call("<name>", {...})` | | Hyper CLI | `hyperai search "<what you want to do>"`, then `hyperai describe <name>` | `hyperai call <name> --json '{...}'` |

If a tool is not found, its integration is not connected or not enabled for the workspace: stop and tell the user which integration to connect.

Call shape

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
)
  • **Image-to-image / brand references:** put files in the request:

`requests=[{"prompt": "Compose into a gift basket", "reference_images": ["file1", "file2"]}]`.

  • **Reproducible output:** pass `seed=...`.
  • **Ground in real-world search:** pass `use_search=True`.
  • Do not display image URLs — they render automatically in chat.

Choosing a model

`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.

Branded / website ad creatives — extract branding first

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.

Higher-level workflows

For multi-shot product or marketplace work, prefer the workflow tools — they preserve product identity and return structured results:

  • `images_product_photoshoots_create` — multi-shot product photography (studio,

lifestyle, hero, carousel, ad pack). See [references/product-photoshoot.md](references/product-photoshoot.md).

  • `images_marketplace_cards_create` — marketplace listing image sets (Amazon main +

secondary, A+ modules, Shopify). See [references/marketplace-cards.md](references/marketplace-cards.md).

Reminders

  • Do NOT display image URLs to the user — they show automatically in chat.
  • Refine vague prompts unless the user wants verbatim generation.
  • Match `aspect_ratio` to intent (social, print, web).
  • Use `quality="high"` for production, `"draft"`/`"standard"` while iterating.
  • Generated `file_id`s can be reused as `reference_images` in later calls.
  • For website brand work, call `firecrawl_branding_extract` before generating.
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