media-gemini-3-image-prompt

media-gemini-3-image-prompt is a skill for Claude Code from modu-ai/moai-cowork. It costs 307 tokens per session (3,684 once invoked), scanned A, original, Apache-2.0.

A prompt builder for Gemini 3 Pro Image, also known as Nano Banana Pro, Google's image-generation model. It expands a short request into five parts covering the subject, action, setting, composition, lighting, style, and text constraints.

In plain words
What is it for?
Use it to write prompts for product shots, portraits, illustrations, landscapes, image editing, and designs containing specific text.
Why use it?
It gives image requests a clear structure and helps specify details such as camera style, image text, and reference images. It produces prompt text; it does not create the image itself.

Skill for Claude Code

Written for Claude Code: ${CLAUDE_PLUGIN_ROOT} variable. Also seen: names the AskUserQuestion tool.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the moai-media plugin — 14 skills, 2 agents shipped together

Good fit Use it to write prompts for product shots, portraits, illustrations, landscapes, image editing, and designs containing specific text.

Compare 6 skills from other repositories ↓
Install

Getting it into your agent

This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.

Claude Code
/plugin marketplace add modu-ai/moai-cowork
Claude Code
/plugin install moai-media

Made for: Claude Code.

Or install moai-media, the plugin that ships this one along with the rest of its 14 skills, 2 agents.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for media-gemini-3-image-prompt

README.md
[![agentmods](https://agentmods.dev/badge/skills/modu-ai/moai-cowork/media-gemini-3-image-prompt/github.svg)](https://agentmods.dev/skills/modu-ai/moai-cowork/media-gemini-3-image-prompt)
Your own site
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/media-gemini-3-image-prompt"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/media-gemini-3-image-prompt/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for media-gemini-3-image-prompt

Your own site · 80×15
<a href="https://agentmods.dev/skills/modu-ai/moai-cowork/media-gemini-3-image-prompt"><img src="https://agentmods.dev/badge/skills/modu-ai/moai-cowork/media-gemini-3-image-prompt.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 307 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,684 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00307 $0.03684
Opus 5 $0.00153 $0.01842
Sonnet 5 $0.00061 $0.00737
Haiku 4.5 $0.00031 $0.00368

Measured 8d ago against content hash b09702686439, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

media-gemini-3-image-prompt scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

plugins/moai-media/skills/media-gemini-3-image-prompt/SKILL.md · 234 lines

How it starts

The opening of the file, as written. The whole thing — 234 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini 3 Pro Image Prompt Builder — 5-Component + 3-모델 동시 출력

moai-coworker | 이미지 프롬프트 빌더 (텍스트 산출 전용)

개요

Gemini 3 Pro Image (Nano Banana Pro)는 Google DeepMind의 reasoning-driven 이미지 생성·편집 모델로, Thinking Mode, Perfect Text Rendering, Search Grounding (Google Search 연동), Few-Shot Design (최대 14개 reference 이미지)을 지원합니다. 자연어 프롬프트 어조는 Creative Director가 장면을 지시하는 톤이 가장 잘 동작합니다.

본 스킬은 사용자 한 줄 요청을 Google AI for Developers 공식 가이드의 5-component 구조로 변환합니다:

[Subject + Adjectives] doing [Action] in [Location/Context].
[Composition/Camera]. [Lighting/Atmosphere]. [Style/Media].
[Specific Constraint/Text]

각 component는 영문 문장으로 끝나며 마침표로 구분합니다. 키워드 나열식은 동작하지만 결과 품질이 떨어집니다.

특히 본 스킬은:

  • 3개 모델 동시 출력: Gemini 5-component 메인 + GPT-image-2(6-Block) + Midjourney v8.1(키워드+파라미터)
  • 프리셋 + 미세조정: 4개 프리셋(제품샷·인물·일러스트·풍경) × 4 슬롯
  • Thinking vs Fast 모드 안내: 복잡 구도·텍스트는 Thinking, 빠른 탐색은 Fast (Gemini 3.1 Flash Image)
  • 카메라 하드웨어 지정: GoPro · Fujifilm · disposable · iPhone 등 시각적 DNA를 결정하는 하드웨어 지시

페어 스킬 media-higgsfield-image(Higgsfield MCP — Nano Banana Pro 포함 11개 이미지 모델)가 실제 이미지를 생성하고, 본 스킬은 프롬프트 텍스트만 산출합니다.

트리거 키워드

Gemini 이미지 프롬프트 나노바나나 프롬프트 Nano Banana Pro 프롬프트 Gemini 3 Pro Image 프롬프트 Google AI Studio 이미지 Vertex AI 이미지 프롬프트 SynthID

워크플로우

사용자 자연어 한 줄
    ↓
[Round 1] AskUserQuestion — 프리셋 선택 (제품샷·인물·일러스트·풍경)
    ↓
[Round 2] AskUserQuestion — 프리셋별 미세조정 (3~4 슬롯)
    ↓
[Round 3] AskUserQuestion — 화면비 + 이미지 내 텍스트 유무 + 카메라 하드웨어(선택)
    ↓
[내부] 슬롯 → 5-component 매핑
    ↓
[내부] 같은 슬롯 → GPT 6-Block + MJ 키워드+파라미터 변환
    ↓
출력: 3개 모델 프롬프트 코드블록 + 권장 파라미터 + 한국어 해설

실행 규칙

Round 1 — 프리셋 선택 (필수)

AskUserQuestion을 호출해 4개 프리셋 중 1개를 선택받습니다.

프리셋 슬롯 정의는 3개 이미지 프롬프트 빌더(gpt-image-2·gemini·midjourney)가 공유하는 단일 원본을 사용합니다. 원본은 media-gpt-image-2-prompt 스킬에 있으며, 각 프리셋 파일 안에 GPT·Gemini·Midjourney 세 모델의 어조 변환 가이드가 모두 포함되어 있습니다.

프리셋 적용 케이스 공유 슬롯 원본
제품샷 (권장) 커머스 상품, 패키지 컷, 보석·시계 클로즈업 ${CLAUDE_PLUGIN_ROOT}/skills/media-gpt-image-2-prompt/presets/product-shot.md
인물·캐릭터 인물 포트레이트, 페르소나, 광고 모델 ${CLAUDE_PLUGIN_ROOT}/skills/media-gpt-image-2-prompt/presets/portrait.md
일러스트·아트 카드뉴스 일러스트, 책 표지, 컨셉 아트 ${CLAUDE_PLUGIN_ROOT}/skills/media-gpt-image-2-prompt/presets/illustration.md
풍경·환경 배경 이미지, 시네마틱 배경, 여행 컷 ${CLAUDE_PLUGIN_ROOT}/skills/media-gpt-image-2-prompt/presets/landscape.md

Read the full file on GitHub · 234 lines

Files

What ships with it

5 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 8d ago First seen · 234 lines · 307 tokens per session scan A b09702686439

Subscribe to this mod's changes

media-gemini-3-image-prompt is a skill published in the GitHub repository modu-ai/moai-cowork (300 stars, last pushed 9d ago), licensed Apache-2.0. It adds 307 tokens to every session and 3,684 once invoked, about $0.0015 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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