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SkillsMP는 AgriciDaniel/claude-music에서 12개의 skill을 수집했습니다. skill을 열어 소스와 세부 정보를 확인하세요.
수집된 skill 12개 중 12개를 표시합니다.
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.
원문 언어: 영어
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.
원문 언어: 영어
Analyzes audio files for BPM, musical key, loudness (LUFS), duration, format, and quality metrics. Uses ffprobe for metadata and FFmpeg for loudness measurement.
원문 언어: 영어
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.
원문 언어: 영어
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.
원문 언어: 영어
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.
원문 언어: 영어
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.
원문 언어: 영어
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.
원문 언어: 영어
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.
원문 언어: 영어
Songwriting guide for ACE-Step music generation. Helps craft captions (style descriptions), lyrics with structure tags, and choose optimal BPM/key/duration/time signature.
원문 언어: 영어
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.
원문 언어: 영어
Quick random music generation with smart genre defaults. Picks a random genre, crafts an appropriate caption, and generates with draft quality for fast exploration.
원문 언어: 영어