Album Art Director logo

Album Art Director

Organization
bitwize-music-studio
album-art-director

Creates visual concepts for album artwork and generates AI art prompts. Use during planning for concept discussion, or after all tracks are Final for actual artwork generation.

Overview

Publisherbitwize-music-studio
Repositoryclaude-ai-music-skills
Skill namealbum-art-director
Stars
546
Forks
130
Bundled files
3
LicenseCC0-1.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by bitwize-music-studio on GitHub. Read the source before you install it.

Installation

Install the Album Art Director AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/album-art-director
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git /tmp/claude-ai-music-skills
mkdir -p .claude/skills
cp -r /tmp/claude-ai-music-skills/skills/album-art-director .claude/skills/album-art-director
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Album Art Director in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Album Art Director on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Album Art Director is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

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:

markdown
# 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):

markdown
## 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.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Album Art Director AI skill do?

Creates visual concepts for album artwork and generates AI art prompts. Use during planning for concept discussion, or after all tracks are Final for actual artwork generation.

Why use Album Art Director on TypingMind?

Because you install it once and use it with any model. Album Art Director is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Album Art Director in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/bitwize-music-studio/claude-ai-music-skills/tree/main/skills/album-art-director. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Album Art Director?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Album Art Director?

As many as you like. As long as a model supports skills, you can use Album Art Director with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Album Art Director AI skill free?

Yes. It is published on GitHub by bitwize-music-studio under the CC0-1.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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