image-design

image-design is a skill for Claude Code, Codex from renky1025/agent-skills. It costs 203 tokens per session (1,785 once invoked), scanned A, original, MIT.

A guide for creating detailed prompts for AI-generated images using photographic choices such as the subject, composition, lighting, camera view, style, and texture.

In plain words
What is it for?
It helps describe subject placement, leading lines, balance, perspective, light direction, color contrast, and other visual details for tools such as ImageGen, Midjourney, or Stable Diffusion.
Why use it?
It gives image requests enough visual direction to produce a specific composition instead of leaving the result open to guesswork.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps describe subject placement, leading lines, balance, perspective, light direction, color contrast, and other visual details for tools such as ImageGen, Midjourney, or Stable Diffusion.

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Install with agentmods
npx agentmods add skills/renky1025/agent-skills/image-design
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 renky1025/agent-skills --skill image-design
Clone the repo
git clone --depth 1 https://github.com/renky1025/agent-skills

Made for: Claude Code, Codex.

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 image-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/renky1025/agent-skills/image-design/github.svg)](https://agentmods.dev/skills/renky1025/agent-skills/image-design)
Your own site
<a href="https://agentmods.dev/skills/renky1025/agent-skills/image-design"><img src="https://agentmods.dev/badge/skills/renky1025/agent-skills/image-design/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 image-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/renky1025/agent-skills/image-design"><img src="https://agentmods.dev/badge/skills/renky1025/agent-skills/image-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 203 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,785 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 $0.00203 $0.01785
Opus 5.5 $0.00081 $0.00714
Sonnet 5.5 $0.00041 $0.00357
Haiku 4.5 $0.00020 $0.00178

Measured 1mo ago against content hash aff9225e8ce9, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

image-design 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 1mo 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.

image-design/SKILL.md · 103 lines

How it starts

The opening of the file, as written. The whole thing — 103 lines — stays where its author put it; the contents beside it link to each section on GitHub.

image-design: 高级质感图片设计

Purpose

把一句模糊的图片需求,翻译成可直接投喂给绘图工具的专业级提示词。技能遵循摄影学五大 核心维度,让画面从"塑料手办感"变成"有光线逻辑、有机位、有材质"的真实影像。它产出的是 提示词(可选直接调用 ImageGen 出图),不负责工程化规格或多图一致性。

核心公式,每一张高质量 AI 图片的提示词都应覆盖这五个维度:

[主体描述] + [构图位置] + [光线逻辑] + [相机视角] + [风格与质感]

When to Use

  • 用户要生成图片或写图片提示词,且目标是有质感、写实、专业的效果。
  • 用户觉得生成的图"太假/太塑料/像手办",需要诊断并改写提示词。
  • 需要指定机位、镜头、光线、胶卷质感等摄影属性。
  • 触发词:生成图片、写图片提示词、AI 绘图、写实照片、电影感、image prompt、photorealistic。

When NOT to Use

  • 需要工程化规格出图、精确文字排版、透明底素材、UI 原型、角色一致性 -> 交给 spec-image。
  • 需要咨询风格封面 / 方法论信息图 -> 交给 mckinsey-cover。
  • 需要内容型信息卡片(多模块、主题配色)-> 交给 infocard。
  • 用户只想直接出图、不需要提示词文本,且已有明确画面描述 -> 可直接走 ImageGen。

Workflow

  1. 理解需求:明确主体、情绪、用途与画面比例;缺关键信息时先问一句。
  2. 按五维构建:依次填充主体描述与构图位置、光线逻辑、相机视角、风格与质感。 每个维度具体的英文词库见 ## References 中对应文件。
  3. 整合提示词:把五维拼成一段完整提示词,风格材质词放在后半段作为润色; 需要固定画幅时以 --ar 收尾。
  4. 解释设计逻辑:用一两句告诉用户每个选择为什么这么写(尤其是光线与机位)。
  5. 可选出图:用户想"看到效果"时,把提示词直接投给 ImageGen,不要另作改写。
  6. 迭代:结果不满意时只改一个维度(通常先改光线或机位),不要整段重写。

Decision Rules

  • 要"最自然、最可信的纪实感" -> eye-level + 35mm + f2.8。
  • 要"最高级的人像广告" -> low-angle + 85mm + f1.8。
  • 要"最电影的环境人像" -> eye-level + 35mm + f2.8 + cinematic depth。
  • 要"最戏剧的艺术风格" -> high-angle + 50mm + f5.6。
  • 画面太干净/太完美 -> 加入不完美词(Candid shot、Slightly shaky、film grain)。
  • 选风格 -> 胶片感与 3D 渲染感二选一;导演/艺术家风格一次只借一种。
  • 写光线 -> 描述光的逻辑(方向、亮暗、色温对比),不写"warm lighting"这类形容词。
  • 需要机位 -> 镜头与角度一起写。
  • 用户要成品图 -> 用 ImageGen 执行;只要文本 -> 只交付提示词并解释。

Constraints

  • 五维必须覆盖,至少要有主体描述与构图/机位,不得只写一句形容词堆砌。
  • 胶片风格与 3D 渲染风格不得混用。
  • 一次只借用一种核心美学风格,禁止堆砌多个导演/艺术家风格。
  • 风格与材质词放在提示词后半段,不前置抢占主体。
  • 禁止用情绪空话替代可描述的具体细节;能具体就具体。
  • 不虚构用户未提供的品牌、艺术家作品细节或版权角色。

Verification

交付前逐项确认:

  • 五维齐全(主体、构图、光线、机位、风格质感),无明显缺项。
  • 光线写的是逻辑(方向/光比/色温),不是单一形容词。
  • 镜头与角度成对出现。
  • 风格只借一种核心美学;胶片与 3D 渲染未混用。
  • 已向用户解释关键选择的设计逻辑。
  • 若调用 ImageGen,投喂的提示词与应用户确认的版本一致。

Output

  • Outcome:一段可直接使用的完整图片提示词;用户要求出图时,另附 ImageGen 生成的图片。
  • Done when:提示词覆盖五维、已解释设计逻辑、用户可复制即用;出图场景下图片已展示。
  • Evidence:提示词文本本身;五维各自的对应片段;若出图,图片路径与所用提示词。 好坏对照范例见 examples/master-vs-amateur.md。

Read the full file on GitHub · 103 lines

Files

What ships with it

6 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. 1mo ago Changed · -134 lines · +101 tokens per session aff9225e8ce9
  2. 1mo ago First seen · 237 lines · 102 tokens per session scan A 4423ffd44b39

Subscribe to this mod's changes

image-design is a skill published in the GitHub repository renky1025/agent-skills (11 stars, last pushed 15d ago), licensed MIT. It adds 203 tokens to every session and 1,785 once invoked, about $0.0008 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 2026-08-31.