Converts mastered audio to sheet music and creates printable songbooks.

CC0-1.0Auto-check: notesMedia & Creative

Install Sheet Music Publisher

skills CLI
$ npx skills add bitwize-music-studio/claude-ai-music-skills --skill sheet-music-publisher -a claude-code

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

GitHub CLI
$ gh skill install bitwize-music-studio/claude-ai-music-skills sheet-music-publisher --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/sheet-music-publisher .claude/skills/sheet-music-publisher && 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
sheet-music-publisher
GitHub stars
544
Token cost
~1.8k tokens
SKILL.md length
554 words
Files
6
Skills in repo
51
Repo updated
First seen
Licence
CC0-1.0

At a glance

Converts mastered audio to sheet music and creates printable songbooks.

  • Works in 6 steps: Setup verification - Check AnthemScore… → Track selection - Identify which tracks… → Automated transcription - Run… → …
  • Wants sheet music
  • SKILL.md covers Your Task, External Software Requirements, Supporting Files and Core Responsibilities, plus 5 more sections
  • Calls pip

What it does

Sheet Music Publisher is an agent skill from bitwize-music-studio/claude-ai-music-skills. Converts mastered audio to sheet music and creates printable songbooks. Use after mastering when the user wants sheet music or a songbook for their album.

Its SKILL.md is about 1.8k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files (for example `REQUIREMENTS.md`, `anthemscore-reference.md` and `musescore-reference.md`).

It sits in Media & Creative, covering Transcription. 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

  • Wants sheet music
  • A songbook for their album

Example prompts

  • “Use the sheet-music-publisher skill to convert mastered audio to sheet music and creates printable songbooks”
  • “/sheet-music-publisher”

Requirements

  • Python 3
  • Pre-approved tools (allowed-tools): Read, Edit, Write, Grep, Glob, Bash, bitwize-music-mcp

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Setup verification - Check AnthemScore and MuseScore installed
  2. Track selection - Identify which tracks to transcribe (melodic tracks work best)
  3. Automated transcription - Run transcribe.py via AnthemScore CLI
  4. Optional polish - Recommend MuseScore editing for accuracy improvements
  5. Prepare singles - Create clean-titled consumer-ready files (PDF, XML, MIDI)
  6. Optional songbook - Create distribution-ready combined PDF with TOC

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
    • Bash
    • bitwize-music-mcp

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • pip

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

  • Network

    Links to these hosts (documentation or services it may open):

    • lunaverus.com
    • musescore.org

    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

Sheet Music Publisher loads about 1.8k tokens when it runs. Until then it costs about 44 tokens; SKILL.md has 554 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~44
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Edit, Write, Grep, Glob, Bash, bitwize-music-mcp

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). 554 words, ~1,834 tokens.

Download SKILL.mdSave it as .claude/skills/sheet-music-publisher/SKILL.md (or your agent's skills folder). This skill also uses 5 other files; get the full folder from GitHub.
name
sheet-music-publisher
description
Converts mastered audio to sheet music and creates printable songbooks. Use after mastering when the user wants sheet music or a songbook for their album.
allowed-tools
Read, Edit, Write, Grep, Glob, Bash, bitwize-music-mcp
argument-hint
<album-name or /path/to/track.wav>
model
sonnet
effort
low
requirements.python
pypdf, reportlab, pyyaml

Your Task

Input: $ARGUMENTS

Guide user through sheet music generation from mastered audio:

  1. Setup verification - Check AnthemScore and MuseScore installed
  2. Track selection - Identify which tracks to transcribe (melodic tracks work best)
  3. Automated transcription - Run transcribe.py via AnthemScore CLI
  4. Optional polish - Recommend MuseScore editing for accuracy improvements
  5. Prepare singles - Create clean-titled consumer-ready files (PDF, XML, MIDI)
  6. Optional songbook - Create distribution-ready combined PDF with TOC

External Software Requirements

REQUIRED:

  • AnthemScore ($42 Professional edition) - Audio transcription engine

    • Free trial: 30 seconds per song, 100 total transcriptions
    • Download: https://www.lunaverus.com/
    • Cross-platform: macOS, Linux, Windows
  • MuseScore (Free) - Notation editing and PDF export

Python dependencies (songbook only):

bash
pip install pypdf reportlab pyyaml

Check if user has these installed FIRST before proceeding.

Supporting Files


Sheet Music Publisher Agent

You are a sheet music production specialist. Your role is to guide users through converting mastered audio into publishing-quality sheet music and songbooks.

Core Responsibilities

  1. Setup verification - Ensure required software installed
  2. Track triage - Identify suitable candidates for transcription
  3. Automated batch processing - Use AnthemScore CLI for efficiency
  4. Quality control - Recommend polish where needed
  5. Publication preparation - Prepare singles and distribution-ready songbooks

Understanding the User's Context

Resolve paths via MCP:

  1. Call get_config() — returns audio_root, content_root, artist.name
  2. Call find_album(album_name) — fuzzy match to get album slug and metadata
  3. Call resolve_path("audio", album_slug) — returns the audio directory path

Sheet music output:

{audio_path}/sheet-music/
├── source/        # AnthemScore output (numbered files)
├── singles/       # Consumer-ready downloads (clean titles, all formats)
│   └── .manifest.json
└── songbook/      # Combined songbook PDF

Override Support

Check for custom sheet music preferences:

Loading Override
  1. Call load_override("sheet-music-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 sheet music workflow only
Override File Format

{overrides}/sheet-music-preferences.md:

markdown
# Sheet Music Preferences

## Page Layout
- Page size: letter (8.5x11) or 9x12 (standard songbook)
- Margins: 0.5" all sides (override: 0.75" for wider pages)
- Font: Bravura (default) or MuseJazz for jazz albums
- Staff size: 7mm (default) or 8mm for large print

## Title Formatting
- Include track numbers: no (default) or yes
- Title position: centered (default) or left-aligned
- Composer credit: "Music by [artist]" below title
- Copyright notice: © 2026 [artist]. All rights reserved.

## Notation Preferences
- Clefs: Treble and bass (piano) or single staff (melody only)
- Key signatures: Shown (default) or omitted for atonal music
- Time signatures: Shown (default) or omitted for free time
- Tempo markings: BPM numbers or Italian terms

## Songbook Settings
- Table of contents: yes (default) or no
- Page numbers: bottom center (default) or bottom right
- Section headers: by genre (default) or chronological
- Cover page style: minimalist (title + artist) or elaborate (artwork)

## Transcription Settings
- Accuracy target: 85% (default) or 95% (requires manual polish)
- Polish level: minimal (quick) or detailed (time-consuming)
- Instrument focus: piano (default), guitar, or vocal melody
- Complexity: simplified (easier to play) or exact (harder, more accurate)
Show full SKILL.md (255 more words)Show less
How to Use Override
  1. Load at invocation start
  2. Apply page layout preferences to songbook creation
  3. Use title formatting rules consistently
  4. Follow notation preferences when polishing
  5. Apply songbook settings to combined PDF
  6. Override preferences guide but don't compromise quality

Example:

  • User prefers 9x12 page size, large print
  • User wants track numbers in titles
  • Result: Generate songbook with 9x12 pages, 8mm staff, titles include track numbers

Workflow Phases

See workflow-detail.md for detailed steps on all 7 phases:

  1. Setup Verification (AnthemScore, MuseScore, Python deps)
  2. Track Selection
  3. Automated Transcription (outputs to source/)
  4. Quality Review & Polish
  5. Prepare Singles (clean titles → singles/)
  6. Songbook Creation (optional → songbook/)
  7. Summary & Next Steps

Also covers: Error Handling, Tips for Better Results, Tool Invocation Examples, Quality Standards, Workflow State Tracking.

Remember

  1. Load override first - Call load_override("sheet-music-preferences.md") at invocation
  2. Apply formatting preferences - Use override page layout, notation, songbook settings if available
  3. Use MCP for paths - Call get_config(), find_album(), resolve_path("audio") instead of reading config manually
  4. Check software exists - Graceful failure with install instructions
  5. Set expectations - 70-95% accuracy, may need polish
  6. Offer polish - Don't skip this step
  7. Automate what you can - Use CLI tools, minimize manual work
  8. distribution-ready output - Songbook should be upload-ready (with user preferences applied)

Success Criteria

User should end with:

  • ✓ Individual PDFs for each track (publishing-ready)
  • ✓ MusicXML sources (editable in MuseScore)
  • ✓ MIDI files for each track (playback)
  • ✓ Optional: Combined songbook PDF (distribution-ready)
  • ✓ Clear next steps for website distribution
  • ✓ Understanding of quality level and polish needs

© 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 5 other files in skills/sheet-music-publisher of bitwize-music-studio/claude-ai-music-skills.

  • SKILL.md
  • REQUIREMENTS.md
  • anthemscore-reference.md
  • musescore-reference.md
  • publishing-guide.md
  • workflow-detail.md

Open the folder on GitHubat commit 58f32c2

Compare with similar skills

Sheet Music Publisher 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.

Sheet Music Publisher compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Sheet Music Publisher this skillbitwize-music-studio/claude-ai-music-skills544—~1.8kAutomated safety check: NotesCC0-1.0
HyperFrames Media Useheygen-com/hyperframes60k—~2.4kAutomated safety check: PassApache-2.0
Native Subtitle Quote Imagechengyi-ai/native-subtitle-quote-image2.6k—~2.4kAutomated safety check: PassMIT
Edu Chem Videowy51ai/edulab1.4k—~2.1kAutomated safety check: NotesApache-2.0
Transcription Memory ReconstructionNxcoreAI/EverRoom3k—~714Automated safety check: PassCustom licence
Edu Math Videowy51ai/edulab1.4k—~2.5kAutomated safety check: NotesApache-2.0

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Questions about Sheet Music Publisher

What does Sheet Music Publisher do?

Converts mastered audio to sheet music and creates printable songbooks. Sheet Music Publisher is an agent skill from bitwize-music-studio/claude-ai-music-skills. Converts mastered audio to sheet music and creates printable songbooks.

When should I use Sheet Music Publisher?

Sheet Music Publisher fits situations like: wants sheet music; A songbook for their album.

How do I install Sheet Music Publisher in Claude Code?

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

How do I install Sheet Music Publisher in Codex?

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

Can I use Sheet Music Publisher 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 sheet-music-publisher -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/sheet-music-publisher, .gemini/skills/sheet-music-publisher, .github/skills/sheet-music-publisher and .opencode/skills/sheet-music-publisher in your project.

What does Sheet Music Publisher need to run?

Going by SKILL.md and its folder, Sheet Music Publisher needs the command-line tools its instructions call (pip). Our summary lists: Python 3. Its frontmatter pre-approves these tools: Read, Edit, Write, Grep, Glob, Bash, bitwize-music-mcp.

Does Sheet Music Publisher access the network?

SKILL.md names 2 domains. As links in the text: lunaverus.com and musescore.org. This is read from the text; nothing was executed.

Is Sheet Music Publisher safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Sheet Music Publisher use?

Sheet Music Publisher 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 Sheet Music Publisher use?

About 1.8k tokens (SKILL.md is roughly 7.3k 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 Sheet Music Publisher?

Skills that share tags, products or a category with Sheet Music Publisher: HyperFrames Media Use (heygen-com/hyperframes, 60k stars), Native Subtitle Quote Image (chengyi-ai/native-subtitle-quote-image, 2.6k stars), Edu Chem Video (wy51ai/edulab, 1.4k stars) and Transcription Memory Reconstruction (NxcoreAI/EverRoom, 3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Sheet Music Publisher?

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.