Skip to content
Marketing
Skill

/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

From plugin
hyper-marketing
10830 skills1 MCP

Claude Code

$ npx -y skills add hyperfx-ai/marketing-skills --skill image-generation --agent claude-code

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 | | --- | --- | --- | | 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.

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.
Read more
@hyperfx-ai
Ships withhyper-marketing

Agent Skills for marketing — paid ads, social media, SEO, AI search, competitor research, ad creative generation, email lifecycle, analytics, operations, and more.

10830 skills1 MCP
Get the whole plugin

Stars on GitHub

Momentum

stars in total
108
Star history of hyperfx-ai/marketing-skills on GitHub, a chart by star-history.com

Other skills on hyper-marketing.

amazon-ads

amazon-ads

Plan and create Amazon Sponsored Products campaigns end-to-end via the Hyper MCP. Use when the user wants to launch Amazon Ads,…

brand-context

brand-context

Create and maintain a single brand-context.md — positioning, audience, personas, pain points, customer language, voice, proof…

More skills from other plugins.

seo

seo

Comprehensive SEO analysis for any website or business type. Full site audits, single-page analysis, technical SEO (crawlability,…

@agricidaniel@agricidanielInstall Skill
brag

brag

Turn the current project website into a short, polished, shareable launch video using Hyperframes. Use when someone says "/brag",…

brag2w21k
@latent-spaces@latent-spacesInstall Skill
geo-audit

geo-audit

Full website GEO+SEO audit with parallel subagent delegation. Orchestrates a comprehensive Generative Engine Optimization audit…

Questions about image-generation.

Which coding agents can use image-generation?
image-generation installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.