Create new genre documentation files for the bitwize-music genre library. Use when the user wants to add a genre, says "/genre-creator", "neues Genre erstellen", "Genre hinzufuegen", "add genre", or asks to create genre documentation. Takes a genre name as argument.
npx skills add https://github.com/bitwize-music-studio/claude-ai-music-skills --skill genre-creator
Create a new genre README.md for the bitwize-music genre library at ${CLAUDE_PLUGIN_ROOT}/genres/.
Input: $ARGUMENTS (genre name, e.g. "Math Rock", "Nu-Metal", "City Pop")
math-rock)genres/{slug}/README.md exists → abort, inform usergenres/INDEX.md to confirm genre is not already listedgenres/hip-hop/README.md, genres/phonk/README.md)genres/{slug}/tools/mastering/genre-presets.yaml — Add YAML entry with target_lufs, cut_highmid, cut_highs values appropriate for the genre. Place in the correct category section or create a new one.skills/mastering-engineer/genre-presets.md — Add a new ### Genre Name section under ## Genre Presets with LUFS target, dynamics, EQ focus, MCP command, and characteristics.10. Do NOT create an artists/ subdirectory — those are created separately when artist deep-dives are written
The file starts directly with # Genre Name — no YAML frontmatter.
ALWAYS use this exact section order:
# {Genre Name}
## Genre Overview
[3 paragraphs — see rules below]
## Characteristics
[6 bullet fields — see rules below]
## Lyric Conventions
[6 bullet fields — see rules below]
## Subgenres & Styles
[Table — see rules below]
## Artists
[Table — see rules below]
## Suno Prompt Keywords
[Code block — see rules below]
## Reference Tracks
[List — see rules below]
## Genre Overview — 3 paragraphs of prose (no bullets):
## Characteristics — Bullet list, exactly these 6 fields:
## Lyric Conventions — Bullet list, exactly these 6 fields:
Default X lines/verse at Y BPM. [Context]. Topics: Z/verse.## Subgenres & Styles — Markdown table:
| Style | Description | Reference Artists |
|-------|-------------|-------------------|
## Artists — Markdown table:
| Artist | Key Albums | Era | Style Focus |
|--------|-----------|-----|-------------|
Deep Dive link to the artist file in Style Focus## Suno Prompt Keywords — Fenced code block with comma-separated keywords organized in thematic lines:
## Reference Tracks — 10-15 entries:
- Artist - "Track Title" — [Description]Create beautiful visual art in .png and .pdf documents using design philosophy. You should use this skill when the user asks to create a poster, piece of art, design, or other static piece. Create original visual designs, never copying existing artists' work to avoid copyright violations.
Creating algorithmic art using p5.js with seeded randomness and interactive parameter exploration. Use this when users request creating art using code, generative art, algorithmic art, flow fields, or particle systems. Create original algorithmic art rather than copying existing artists' work to avoid copyright violations.
Improves the quality of images, especially screenshots, by enhancing resolution, sharpness, and clarity. Perfect for preparing images for presentations, documentation, or social media posts.
Downloads videos from YouTube and other platforms for offline viewing, editing, or archival. Handles various formats and quality options.
Lightweight WSI tile extraction and preprocessing. Use for basic slide processing tissue detection, tile extraction, stain normalization for H&E images. Best for simple pipelines, dataset preparation, quick tile-based analysis. For advanced spatial proteomics, multiplexed imaging, or deep learning pipelines use pathml.
Microscopy data management platform. Access images via Python, retrieve datasets, analyze pixels, manage ROIs/annotations, batch processing, for high-content screening and microscopy workflows.
Python library for working with DICOM (Digital Imaging and Communications in Medicine) files. Use this skill when reading, writing, or modifying medical imaging data in DICOM format, extracting pixel data from medical images (CT, MRI, X-ray, ultrasound), anonymizing DICOM files, working with DICOM metadata and tags, converting DICOM images to other formats, handling compressed DICOM data, or processing medical imaging datasets. Applies to tasks involving medical image analysis, PACS systems, radiology workflows, and healthcare imaging applications.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Take bitwize-music-studio/genre-creator from the repository into ~/.claude/skills for personal
use, or into .claude/skills inside a project.
The agent identifies a skill by the name field in its header. Two skills with the
same name cannot sit side by side — one of them will be ignored.