Creates visual concepts for album artwork and generates AI art prompts.

CC0-1.0Auto-check passedMedia & Creative

Install Album Art Director

skills CLI
$ npx skills add bitwize-music-studio/claude-ai-music-skills --skill album-art-director -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install bitwize-music-studio/claude-ai-music-skills album-art-director --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/bitwize-music-studio/claude-ai-music-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/album-art-director .claude/skills/album-art-director && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
album-art-director
GitHub stars
544
Token cost
~2.9k tokens
SKILL.md length
1,180 words
Files
4
Skills in repo
51
Repo updated
First seen
Licence
CC0-1.0

At a glance

Creates visual concepts for album artwork and generates AI art prompts.

  • Works in 6 steps: Concept Development → Platform Selection → Visual Reference → …
  • Tasks that involve Image generation
  • SKILL.md covers Your Task, Supporting Files, Core Principles and Override Support, plus 8 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Album Art Director is an agent skill from bitwize-music-studio/claude-ai-music-skills. 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.

Its SKILL.md is about 2.9k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `album-types.md`, `prompt-examples.md` and `visual-styles.md`).

It sits in Media & Creative, covering Image generation. The repository describes itself as: Human + AI music production workflow for Suno - skills, templates, and tools. The licence is CC0-1.0.

When your agent uses it

  • Tasks that involve Image generation

Example prompts

  • “Use the album-art-director skill to create visual concepts for album artwork and generates AI art prompts”
  • “/album-art-director”

Requirements

  • Pre-approved tools (allowed-tools): Read, Edit, Write, Grep, Glob, bitwize-music-mcp

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. Concept Development
  2. Platform Selection
  3. Visual Reference
  4. Composition Planning
  5. Prompt Construction
  6. Iteration Strategy

What it can do on your machine

Read from SKILL.md and the folder at commit 58f32c2. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Edit
    • Write
    • Grep
    • Glob
    • bitwize-music-mcp

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Album Art Director loads about 2.9k tokens when it runs. Until then it costs about 49 tokens; SKILL.md has 1,180 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~49
When it runs · the whole SKILL.md, loaded when a task matches
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from bitwize-music-studio/claude-ai-music-skills at commit 58f32c2, republished under its CC0-1.0 licence (© bitwize-music-studio). 1,180 words, ~2,941 tokens.

Download SKILL.mdSave it as .claude/skills/album-art-director/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
album-art-director
description
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.
allowed-tools
Read, Edit, Write, Grep, Glob, bitwize-music-mcp
argument-hint
<album-path or "create art concept for [album]">
model
sonnet
effort
medium

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


Show full SKILL.md (469 more words)Show less

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.

© bitwize-music-studio, CC0-1.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in skills/album-art-director of bitwize-music-studio/claude-ai-music-skills.

  • SKILL.md
  • album-types.md
  • prompt-examples.md
  • visual-styles.md

Open the folder on GitHubat commit 58f32c2

Compare with similar skills

Album Art Director next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

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Structured Image Generationbytedance/deer-flow84k4 repos~2.9kAutomated safety check: PassMIT
Canghe Comicfreestylefly/canghe-skills4618 repos~3.2kAutomated safety check: PassNone
Generate Imageynulihao/AgentSkillOS61810 repos~1.7kAutomated safety check: NotesNone
GPT Image Generation CLIwuyoscar/GPT-Image2-Skill5.7k—~2.5kAutomated safety check: NotesMIT

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Questions about Album Art Director

What does Album Art Director do?

Creates visual concepts for album artwork and generates AI art prompts. Album Art Director is an agent skill from bitwize-music-studio/claude-ai-music-skills. Creates visual concepts for album artwork and generates AI art prompts.

When should I use Album Art Director?

Album Art Director fits situations like: tasks that involve Image generation.

How do I install Album Art Director in Claude Code?

Run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill album-art-director -a claude-code`. Or copy the skill folder (skills/album-art-director in bitwize-music-studio/claude-ai-music-skills) into .claude/skills/album-art-director in your project. Claude Code loads it when a task matches its description.

How do I install Album Art Director in Codex?

Run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill album-art-director -a codex`. Or copy the skill folder (skills/album-art-director in bitwize-music-studio/claude-ai-music-skills) into .agents/skills/album-art-director in your project. Codex loads it when a task matches its description.

Can I use Album Art Director in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add bitwize-music-studio/claude-ai-music-skills --skill album-art-director -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/album-art-director, .gemini/skills/album-art-director, .github/skills/album-art-director and .opencode/skills/album-art-director in your project.

What does Album Art Director need to run?

SKILL.md names no scripts, command-line tools or credentials: Album Art Director is instructions for the agent only. Its frontmatter pre-approves these tools: Read, Edit, Write, Grep, Glob, bitwize-music-mcp.

Does Album Art Director access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Album Art Director safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Album Art Director use?

Album Art Director is published under the CC0-1.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Album Art Director use?

About 2.9k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Album Art Director?

Skills that share tags, products or a category with Album Art Director: AI Image Generation and Editing (zhayujie/CowAgent, 47k stars), Structured Image Generation (bytedance/deer-flow, 84k stars), Canghe Comic (freestylefly/canghe-skills, 461 stars) and Generate Image (ynulihao/AgentSkillOS, 618 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Album Art Director?

bitwize-music-studio (a GitHub organization) maintains it in bitwize-music-studio/claude-ai-music-skills, which has 544 GitHub stars. The repository holds 51 skills in this directory. The repository was last updated on October 7, 2026.

Source: bitwize-music-studio/claude-ai-music-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.