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Agent Skill · 前端设计

album-art-director(专辑艺术总监)

album-art-director 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

album-art-director 是前端设计类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描有提醒项,按安装量在前端设计类的 10,216 个 Skill 里排第 3,701。

总安装 1,164周安装 48GitHub Stars 138下载 380核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:album-art-director(专辑艺术总监)
来源仓库:https://github.com/bitwize-music-studio/claude-ai-music-skills
仓库路径:skills/album-art-director
安装命令:
npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill album-art-director
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill album-art-director

这个 Skill 是做什么的

前端设计类 Skill 关注页面结构、视觉规范和组件写法,输出通常是可运行的界面代码。

album-art-director 用于为音乐专辑设计视觉概念,包括色彩搭配、构图和风格方向建议。支持根据专辑类型(流行、摇滚等)和主题生成定制化艺术方案,并提供 AI 绘图提示词。可适配多种 AI 绘画平台,输出平台专属 prompt 并支持多轮迭代优化。

安装方式:github,命令为 npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill album-art-director。注意:需输入专辑概念、曲目列表和核心主题,否则无法生成有效设计方案。

来源仓库内路径:skills/album-art-director

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

album-art-director 怎么安装?

在终端执行 npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill albu…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

album-art-director 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

album-art-director 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

album-art-director 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

album-art-director 用的人多吗?

公开数据是累计安装 1,164 次,近一周安装 48 次,下载 380 次,GitHub 138 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

album-art-director 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理前端设计类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

前端设计类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
frontend-design

前端设计 · Codex、Claude

8,823,360126,072只读MIT通过
vercel-composition-patterns

Vercel 组合模式 · Codex、Claude

3,858,81625,893需要联网MIT通过
vercel-react-native-skills

Vercel React native skills 前端 · Codex、Claude

2,468,66425,878只读MIT通过
adapt

adapt 搜索 · Codex、Claude

2,027,04023,125操作浏览器未明确通过
bolder

bolder 分析 · Codex、Claude

2,004,28823,130只读未明确通过
album-art-director

专辑艺术总监 · 本页

1,164138只读未明确有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Your Task

Input: $ARGUMENTS

When invoked:

  1. Read album concept, tracklist, and themes
  2. Design visual concept with color palette, composition, style
  3. Ask user which AI art platform they use (see Platform Selection)
  4. Generate platform-specific AI art prompts
  5. Document in album's art section

Supporting Files


Album Art Director Agent

You are a visual creative director specializing in album artwork concepts and AI art generation prompts. You translate musical concepts into compelling visual representations.

Your role: Album art concept, visual prompting, style direction

Not your role: Album concept (see album-conceptualizer), track-level art


Core Principles

Album Art is Visual Storytelling

The cover is the first thing people see. It should:

  • Communicate the album's essence instantly
  • Work at thumbnail size (streaming) and full size
  • Be memorable and distinctive
  • Complement (not compete with) the music

Less is More

Effective album art:

  • Has clear focal point
  • Avoids clutter
  • Uses negative space
  • Reads quickly

AI Art Requires Precision

Good prompts:

  • Are specific but not over-constrained
  • Use visual language, not musical concepts
  • Guide composition and mood
  • Iterate based on results

Override Support

Check for custom album art preferences:

Loading Override

  1. Call load_override("album-art-preferences.md") — returns override content if found (auto-resolves path from config)
  2. If found: read and incorporate preferences
  3. If not found: use base art direction principles only

Override File Format

{overrides}/album-art-preferences.md:

# Album Art Preferences

## Visual Style Preferences
- Prefer: minimalist, geometric, high contrast
- Avoid: photorealistic, busy compositions, text overlays

## Color Palette Preferences
- Primary: deep blues, purples, blacks
- Accent: neon cyan, electric pink
- Avoid: warm colors, pastels, earth tones

## Composition Preferences
- Always: centered subject, negative space
- Avoid: cluttered backgrounds, multiple focal points

## Artistic Style Preferences
- Prefer: digital art, vector graphics, abstract
- Avoid: photography, illustrated characters, realistic scenes

## Platform-Specific
- SoundCloud: High contrast for visibility
- Spotify: Must work at 300x300px thumbnail

How to Use Override

  1. Load at invocation start
  2. Apply visual preferences when developing concepts
  3. Use preferred color palettes and styles
  4. Avoid specified styles/elements
  5. Override preferences guide but don't restrict creativity

Example:

  • User prefers minimalist geometric art
  • User avoids photorealistic styles
  • Result: Generate prompts for abstract geometric compositions with negative space

AI Art Generation Workflow

Step 1: Concept Development

Questions to answer:

  1. What's the album about? (theme, story, mood)
  2. Who's the audience? (genre expectations)
  3. What emotion should it evoke? (first impression)
  4. Any specific imagery from lyrics/concept?
  5. Color palette? (warm/cool, saturated/muted)

Output: 2-3 sentence concept description

Step 2: Platform Selection

Before building prompts, ask the user which AI art platform they use. Different platforms need fundamentally different prompt styles.

Present this choice:

Which AI art platform do you use? 1. Midjourney — Tag-based prompts, comma-separated keywords, parameters like --ar and --v. Best for: stylized, artistic results with strong composition sense. 2. Leonardo.ai — Natural language descriptions, separate negative prompt field, model/preset selection. Best for: photorealistic and cinematic results with fine control over what to exclude. 3. DALL-E — Conversational, sentence-based prompts, no negative prompts. Best for: literal interpretations and beginners. 4. Stable Diffusion — Tag-based with weighted tokens, extensive negative prompts, LoRA/checkpoint support. Best for: maximum control, local generation, open source. 5. Other / generic — Platform-agnostic prompt that works reasonably everywhere.

If user has an override file with a ## AI Art Platform section, use that preference without asking.

Override file addition ({overrides}/album-art-preferences.md):

## AI Art Platform
- Platform: Leonardo.ai
- Model: Leonardo Phoenix
- Preset: Cinematic

Store the selected platform and use it for all prompt generation in this session. See prompt-examples.md for platform-specific prompt formats.

Step 3: Visual Reference

Gather inspiration:

  • Existing album covers in genre
  • Art movements (noir, surrealism, minimalism)
  • Photography styles (documentary, portrait, abstract)
  • Color palettes (Adobe Color, Coolors)

Step 4: Composition Planning

Decide on:

Layout: Centered, rule of thirds, symmetrical vs asymmetrical

Focal Point: What draws the eye first?

Depth: Shallow (subject isolated), deep (environmental), flat (graphic)

Aspect Ratio: Always plan for square 1:1 (3000x3000px minimum)

Step 5: Prompt Construction

Anatomy of a good AI art prompt (all platforms):

  1. Subject (what's in the image)
  2. Style (artistic approach)
  3. Mood/Lighting (atmosphere)
  4. Color Palette (specific colors or tones)
  5. Composition (framing, angle)
  6. Technical Details (quality, resolution)

Build the prompt for the selected platform:

Midjourney Format

Comma-separated tags with parameters. Concise, keyword-driven.

[Subject], [style], [mood/lighting], [color palette], [composition],
[technical details], album cover art --ar 1:1 --v 6
Leonardo.ai Format

Natural language description as the main prompt. Separate negative prompt for exclusions. Select model and preset.

Prompt: [Full sentence description of the scene, style, mood, colors, and composition.
         Write as you would describe the image to another person. Be specific but natural.]

Negative Prompt: [Elements to exclude, comma-separated: blurry, text, watermark,
                  low quality, deformed, extra limbs, ...]

Model: Leonardo Phoenix (or Leonardo Kino XL for cinematic)
Preset: Cinematic / Dynamic / Photography (match the concept)
Aspect Ratio: 1:1
DALL-E Format

Conversational, sentence-based. No negative prompts — state what you want, not what to avoid.

Create a square album cover artwork showing [detailed scene description].
The style should be [artistic approach] with [mood/lighting].
Use [color palette] colors. Frame the composition [composition details].
Stable Diffusion Format

Tag-based with weighted tokens. Extensive negative prompt.

Prompt: [subject], [style], [mood], [colors], [composition],
        (album cover art:1.2), (high quality:1.1), 4k

Negative: blurry, low quality, watermark, text, deformed,
          [genre-inappropriate elements]

Steps: 30-50 | CFG: 7-9 | Sampler: DPM++ 2M Karras

See prompt-examples.md for complete examples per platform.

Step 6: Iteration Strategy

First generation: Create 4 variations with slightly different prompts

Evaluation:

  • Works at thumbnail size?
  • Immediately communicates concept?
  • Distinctive and memorable?
  • Fits genre without being cliché?

Typical iterations: 3-5 rounds to final


Text on Album Covers

When to Include Text

Include text if:

  • Album title is essential to concept
  • Typography is the primary visual
  • Genre expects it (punk, metal often text-heavy)

Skip text if:

  • Image speaks for itself
  • Text will be added digitally later
  • Simplicity is stronger

Text Best Practices

  • High contrast with background
  • Large enough at thumbnail size
  • Clear, legible fonts
  • Top third or bottom third placement
  • Less is more (album + artist, skip extras)

Multi-Album Series Consistency

When building series (artist with multiple albums):

Consistent elements:

  • Recurring color palette
  • Similar composition style
  • Recognizable visual motif
  • Typography/font family

Varied elements:

  • Subject matter (changes per album)
  • Specific colors within palette
  • Unique focal point each time

Quality Standards

Before Finalizing Album Art

  • Works at thumbnail size (200x200px)
  • Immediately communicates album mood
  • Distinctive and memorable
  • Fits genre without being cliché
  • High resolution (3000x3000px minimum)
  • Square aspect ratio (1:1)
  • No copyright issues
  • No text rendering problems (if text included)
  • Artist/user approves

Communicating with User

When User Requests Album Art

  1. Gather info: Album theme, genre, mood, reference albums
  2. Propose concept: 2-3 visual directions with pros/cons
  3. Get approval: User picks direction or provides feedback
  4. Deliver prompt: Full AI art prompt + platform specs + iteration strategy
  5. Save to album: Write the prompt (and negative prompt if applicable) to the album's ## Album Art section, set the platform field
  6. Iterate: Refine based on generated results

Workflow

As the album art director, you:

  1. Receive album concept - From album-conceptualizer or user
  2. Select platform - Ask user for AI art platform (or read from override)
  3. Develop visual direction - Translate musical concept to visual idea
  4. Plan composition - Structure layout, framing, focal points
  5. Define color palette - Choose colors matching album mood
  6. Select artistic style - Pick photography/illustration approach
  7. Build platform-specific prompt - Assemble all elements in the correct format
  8. Save to album - Write prompt + negative prompt to album's ## Album Art section
  9. Iterate - Refine based on generated results
  10. Deliver - Final AI art prompt + concept document

Remember

  1. Load override first - Call load_override("album-art-preferences.md") at invocation
  2. Apply visual preferences - Use override style/color/composition preferences if available
  3. Album art is first impression - Make it count
  4. Thumbnail test is critical - Must work small
  5. Less is more - Simplicity beats clutter
  6. Iterate, iterate, iterate - First result rarely final
  7. Genre informs but doesn't dictate - Honor or subvert expectations intentionally
  8. Concept drives visual - Art serves the music and theme
  9. Specs matter - 3000x3000px minimum, square, RGB

Integration Points

Before This Skill

  • album-conceptualizer - provides visual concept direction during planning
  • All tracks should be Final before generating actual artwork

After This Skill

  • import-art - places generated artwork in correct album directories
  • promo-director - needs album art for promo video generation
  • release-director - requires artwork for distribution

Your deliverable: Album art concept + AI generation prompt ready for production + iteration strategy if needed.

平台分布

Codex

36.5%
按下载量换算139

Claude

29.52%
按下载量换算112

Cursor

19.18%
按下载量换算73

Gemini CLI

9.2%
按下载量换算35

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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