media-gemini-3-image-prompt

media-gemini-3-image-prompt is a skill for Claude Code from modu-ai/moai-cowork. It costs 329 tokens per session (4,199 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: shipped in a Claude Code plugin.

Part of the moai-media plugin — 17 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 with agentmods
npx agentmods add skills/modu-ai/moai-cowork/media-gemini-3-image-prompt
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add modu-ai/moai-cowork --skill media-gemini-3-image-prompt
Clone the repo
git clone --depth 1 https://github.com/modu-ai/moai-cowork

Made for: Claude Code.

Or install moai-media, the plugin that ships this one along with the rest of its 17 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 329 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,199 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 $0.00329 $0.04199
Opus 5.5 $0.00132 $0.01680
Sonnet 5.5 $0.00066 $0.00840
Haiku 4.5 $0.00033 $0.00420

Measured 20d ago against content hash e68038ddec3d, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 20d 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 · 239 lines

How it starts

The opening of the file, as written. The whole thing — 239 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-media | 이미지 프롬프트 빌더 (텍스트 산출 전용)

개요

Gemini 3 Pro Image (Nano Banana Pro)는 추론 기반 이미지 생성·편집 모델로, 정확한 텍스트 렌더링을 돕고 Google Search Grounding과 최대 14개 참조 이미지를 지원합니다. 참조 이미지에는 피사체·인물·스타일별 한도가 따로 있으므로 references/reference-images.md를 확인합니다. 자연어 프롬프트는 장면과 제약을 구체적으로 설명합니다.

본 스킬은 사용자 요청을 Google 공식 가이드의 장면·구도·조명 지침을 참고한 내부 5-component 템플릿으로 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 2.5(공식 가이드 원칙) + 현재 Midjourney V8(기본 V8.2)
  • 프리셋 + 미세조정: 4개 프리셋(제품샷·인물·일러스트·풍경) × 4 슬롯
  • 모델 선택 안내: 복잡한 제작은 Gemini 3 Pro Image, 빠른 탐색은 Gemini 3.1 Flash Image를 비교합니다. 두 모델의 추론 설정을 같은 UI·API 파라미터로 취급하지 않습니다.
  • 카메라 하드웨어 지정: GoPro · Fujifilm · disposable · iPhone 등 시각적 DNA를 결정하는 하드웨어 지시

본 스킬은 프롬프트 텍스트만 산출합니다. Gemini 이미지 자체 생성은 media-production에서 현재 앱에 실제 연결된 Gemini 경로를 확인합니다. 연결이 없으면 Gemini 생성이 미완료임을 밝히고 프롬프트를 제공합니다. 사용자가 Higgsfield를 지정하면 media-higgsfield-image의 현재 모델 목록을 확인합니다.

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] 직접 실행의 질문 채널 또는 하위 에이전트 blocker — 프리셋 선택 (제품샷·인물·일러스트·풍경)
    ↓
[Round 2] 직접 실행의 질문 채널 또는 하위 에이전트 blocker — 프리셋별 미세조정 (3~4 슬롯)
    ↓
[Round 3] 직접 실행의 질문 채널 또는 하위 에이전트 blocker — 화면비 + 이미지 내 텍스트 유무 + 카메라 하드웨어(선택)
    ↓
[내부] 슬롯 → 5-component 매핑
    ↓
[내부] 같은 슬롯 → GPT Image 2.5 공식 원칙 + MJ 키워드+파라미터 변환
    ↓
출력: 3개 모델 프롬프트 코드블록 + 권장 파라미터 + 한국어 해설

실행 규칙

Round 1 — 프리셋 선택 (필수)

사용자가 프리셋을 이미 지정했다면 다시 묻지 않습니다. 필수 선택이 빠졌을 때 직접 실행에서만 현재 질문 채널을 사용합니다. 하위 에이전트에서는 질문 도구가 보여도 상위에 blocker를 반환하고, 직접 실행에 질문 채널이 없어도 필요한 선택을 blocker로 반환합니다. 비동기 질문 도구의 즉시 반환을 사용자의 답으로 간주하지 않습니다.

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

Read the full file on GitHub · 239 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. 20d ago Changed · +1 lines e68038ddec3d
  2. 1mo ago Changed · +4 lines · +22 tokens per session 808671190af9
  3. 1mo 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 (311 stars, last pushed 18d ago), licensed Apache-2.0. It adds 329 tokens to every session and 4,199 once invoked, about $0.0013 per session on Opus 5.5. 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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