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SkillsMP a collecté 12 skills depuis AgriciDaniel/claude-music. Ouvrez un skill pour examiner sa source et ses détails.
Affichage de 12 skills collectés sur 12.
Music production suite using ACE-Step 1.5 via Python API. Routes /music commands for generation, cover, repaint, compose, analyze, export, enhance, random, and LoRA training. 50+ languages, up to 10-minute tracks, 48kHz stereo.
Langue du texte source : anglais
Starts the local claude-music web dashboard: a minimalist browser app for generating songs with style buttons, live progress, a waveform player, a rated library, downloads, and one-click similar generations. Runs entirely on 127.0.0.1 with no cloud calls.
Langue du texte source : anglais
Analyzes audio files for BPM, musical key, loudness (LUFS), duration, format, and quality metrics. Uses ffprobe for metadata and FFmpeg for loudness measurement.
Langue du texte source : anglais
Creates cover versions and style transfers of existing songs using ACE-Step 1.5. Takes a reference audio file and generates a new version with different style, genre, or vocal characteristics while preserving musical structure.
Langue du texte source : anglais
Exports music for specific platforms with optimal format, loudness, and metadata. Supports Spotify, Apple Music, YouTube, TikTok, podcast, CD, streaming, and archive formats. Uses FFmpeg for loudness normalization, format conversion, and metadata tagging.
Langue du texte source : anglais
Generates music from text descriptions and lyrics using ACE-Step 1.5's Python API. Creates full songs with vocals, instrumentals, or both. Supports 50+ languages, 10-600 second duration, quality presets (draft/standard/high/max), and batch generation.
Langue du texte source : anglais
Browses, searches, and manages generated music in ~/Music/claude-music-output/. Lists recent generations, searches by date, checks disk usage, plays files, and cleans up old output.
Langue du texte source : anglais
LoRA and LoKr fine-tuning for ACE-Step 1.5. Trains custom styles from 3-10 songs, manages trained adapters, and applies them during generation. Uses ACE-Step's built-in training pipeline.
Langue du texte source : anglais
Edits specific sections of a song using ACE-Step 1.5's repaint mode. Fixes a bad chorus, changes instruments in a section, adds or removes vocals, or regenerates any time range while keeping the rest intact.
Langue du texte source : anglais
Songwriting guide for ACE-Step music generation. Helps craft captions (style descriptions), lyrics with structure tags, and choose optimal BPM/key/duration/time signature.
Langue du texte source : anglais
Post-processing for generated music. Default path is FFmpeg loudness normalization (fast, CPU-only). Escape hatches: AI vocal denoise for artifacts, stem separation for surgical edits. Both escape-hatch paths reuse tooling from the claude-video skill.
Langue du texte source : anglais
Quick random music generation with smart genre defaults. Picks a random genre, crafts an appropriate caption, and generates with draft quality for fast exploration.
Langue du texte source : anglais