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Create Music

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AI-assisted music creation for Horus persona. Voice conversion (RVC) and music generation (MusicGen/AudioCraft). Stem separation uses create-stems skill. Local-first with GPU acceleration.

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  • Added September 11, 2026
devopspythonbashdockergit

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Scanned September 11, 2026

npx -y skills add grahama1970/agent-skills --skill create-music --agent claude-code

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SKILL.md
---
name: create-music
description: >
  AI-assisted music creation for Horus persona. Voice conversion (RVC) and
  music generation (MusicGen/AudioCraft). Stem separation uses create-stems skill.
  Local-first with GPU acceleration.
allowed-tools: [Bash, Read, Write, Task]
triggers:
  - create music
  - make music
  - generate music
  - voice conversion
  - rvc inference
  - musicgen
  - audiocraft
  - clone voice
  - singing voice
metadata:
  short-description: "AI music creation (RVC + MusicGen)"
  author: "Horus"
  version: "0.2.0"

provides:
  - create-music
composes:
  - learn-voice
  - discover-music
  - learn-artist
  - task-monitor
  - agentic-evals
disciplines:
  - content-creation
  - voice-audio
---

# create-music

AI-assisted music creation pipeline for Horus persona. Local-first, GPU-accelerated.

## Capabilities

### 1. Stem Separation (Mix → Parts)

**Moved to `/create-stems` skill.** Use create-stems for all stem separation:

```bash
# In .pi/skills/create-stems/
./run.sh separate --mix input.wav --out work/stems
./run.sh separate --mix input.wav --out work/stems --instrument vocals
./run.sh separate --mix input.wav --out work/stems --instrument oud
```

### 2. Voice Conversion (RVC)

Convert vocals to a trained voice model:

```bash
./run.sh rvc-setup                    # One-time: clone repo + download pretrains
./run.sh rvc-infer \
  --model-name nico-500 \
  --input vocals.wav \
  --output converted.wav \
  --pitch 0 \
  --f0method harvest
```

### 3. Music Generation (MusicGen/AudioCraft)

MusicGen runs in Docker (Python 3.11 container) to avoid dependency conflicts.

```bash
# First run auto-builds the Docker image
./run.sh musicgen \
  --prompt "intimate jazz trio, soft piano" \
  --seconds 30 \
  --out generated.wav

# Or build explicitly
./run.sh musicgen-build

# With fine-tuned checkpoint
./run.sh musicgen \
  --checkpoint-dir /path/to/checkpoint \
  --prompt "intimate jazz trio, soft piano" \
  --seconds 30 \
  --out generated.wav

# Available models (default: facebook/musicgen-small)
./run.sh musicgen --model facebook/musicgen-medium --prompt "..." --out out.wav
```

## Workflow

```
INPUT MIX
    ↓
create-stems separate (Demucs 6s / UVR)
    ↓
rvc-infer on vocals (optional)
    ↓
musicgen for new parts (optional)
    ↓
FINAL OUTPUT
```

## Sanity Checks

```bash
./sanity.sh                           # Full sanity suite
./sanity/check_env.sh                 # ffmpeg + torch + imports
python sanity/check_alignment.py      # stems same SR + frames
python sanity/check_reconstruction.py # mix ≈ sum(stems)
```

## Hardware Requirements

| Component | Minimum | Recommended |
|-----------|---------|-------------|
| VRAM | 8GB | 16GB+ |
| RAM | 16GB | 32GB+ |
| Storage | 20GB | 50GB+ |

## References

- [AudioCraft/MusicGen](https://github.com/facebookresearch/audiocraft)
- [Demucs](https://github.com/facebookresearch/demucs)
- [RVC WebUI](https://github.com/RVC-Project/Retrieval-based-Voice-Conversion-WebUI)
- [python-audio-separator](https://github.com/nomadkaraoke/python-audio-separator)

Files in this skill

  • SKILL.md3 KB
  • cli.py3 KB
  • docker/Dockerfile.musicgen408 B
  • docker/Dockerfile.yue1.9 KB
  • docker/musicgen_wrapper.py1.8 KB
  • docker/yue_cli.py5.7 KB
  • docs/research/idea/01_IDEA.md5.2 KB
  • fixtures/agentic_eval.json490 B
  • fixtures/whisperheads/reference.md1.2 KB
  • midi_utils.py4 KB
  • pyproject.toml1.3 KB
  • requirements.txt298 B
  • run.sh8.2 KB
  • sanity.sh1.1 KB
  • sanity/check_alignment.py2.1 KB
  • sanity/check_env.sh1.6 KB
  • sanity/check_reconstruction.py3.7 KB
  • scripts/rvc_infer.sh3.3 KB
  • scripts/rvc_setup.sh1.7 KB
  • scripts/rvc_train.sh7 KB

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