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SkillsMP hat 12 Skills aus AgriciDaniel/claude-music gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 12 von 12 gesammelten Skills angezeigt.
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Analyzes audio files for BPM, musical key, loudness (LUFS), duration, format, and quality metrics. Uses ffprobe for metadata and FFmpeg for loudness measurement.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Songwriting guide for ACE-Step music generation. Helps craft captions (style descriptions), lyrics with structure tags, and choose optimal BPM/key/duration/time signature.
Quellsprache: Englisch
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.
Quellsprache: Englisch
Quick random music generation with smart genre defaults. Picks a random genre, crafts an appropriate caption, and generates with draft quality for fast exploration.
Quellsprache: Englisch