What problem does it solve? Creating original music, full songs with lyrics, or analyzing audio content normally requires expensive tools, music theory knowledge, or cloud subscriptions. This Skill provides local text-to-music generation, open-source song synthesis, songwriting prompt craft, and audio visualization in one place. ## Core Features & Use Cases - Text-to-Music with AudioCraft: Generate music, sound effects, and melody-conditioned or style-transferred audio locally using Meta's MusicGen, AudioGen, and EnCodec models. - Full Song Generation with HeartMuLa: Produce complete songs from lyrics and style tags using the open-source Suno alternative, with documented patches for transformers 5.x compatibility. - Songwriting & Suno Prompt Engineering: Apply song structures, rhyme schemes, phonetic spelling tricks, and structural metatags to get better results from any AI music service. - Audio Analysis with songsee: Render spectrograms, mel, chroma, tempogram, and other feature visualizations from audio files for inspection or comparison. - Use Case: Write lyrics and tags for a wedding song, generate it with HeartMuLa on a GPU, then produce a spectrogram with songsee to verify the output quality. ## Quick Start Generate a 10-second upbeat electronic music clip locally using MusicGen with the prompt "happy upbeat electronic dance music with synths" and save it as output.wav.
