Agent skill · AI & Agents

learn-voice

Train RVC voice models from artist names. Full pipeline: YouTube search, download, stem separation, preprocessing, training, and model indexing. Builds a library of singing voices organized by category (voice/instrument).

majiayu000github.com/majiayu000GitHub ↗
claude-codecan modify filesMIT
Install
npx skills add majiayu000/claude-skill-registry --skill learn-voice --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 7 KB
Bundled scripts: none
Version: 0.1.0
Declared author: Horus
Allowed tools: BashReadWriteTask
Path: skills/ai-ml/learn-voice/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# learn-voice Train RVC (Retrieval-based Voice Conversion) models from artist names. Creates a searchable library of singing voices. ## Quick Start - For Agents The simplest way for an agent to learn a voice: ```bash cd /home/graham/workspace/experiments/pi-mono/.pi/skills/learn-voice # Just say who you want to learn ./run.sh learn "Sierra Ferrell" ./run.sh learn "Miles Davis" trumpet ./run.sh learn "Keith Moon" drummer # That's it! The daemon handles everything. ``` ## Agent Workflow When an agent encounters a singer or instrumentalist they want to learn: 1. **Express interest**: `./run.sh learn "Artist Name"` 2. **Daemon trains automatically** (if running) 3. **Use trained voice later** via `create-music` skill ```bash # Agent sees a cool vocalist ./run.sh learn "Yasamin Shahhosseini" # Output: Added to queue: Yasamin Shahhosseini # Queue now has 13 artists # Daemon running (PID 12345) - will train automatically # Later, use the trained voice cd ../create-music ./run.sh rvc-infer --model-name yasamin-shahhosseini --input vocals.wav --output converted.wav ``` ## Manual Training (if needed) ```bash # Train immediately (blocks until done) ./run.sh train "Brennen Leigh" --epochs 200

What's inside
Steps it walks through
  1. Quick Start - For Agents
  2. Agent Workflow
  3. Manual Training (if needed)
  4. Pipeline
  5. Storage Layout
  6. Commands
  7. train
  8. train-batch
  9. list
  10. status
  11. export
  12. Quality Gates
  13. Integration with Other Skills
  14. discover-music
Ships with 1 file
  • metadata.json
Commands it runs
cd /home/graham/workspace/experiments/pi-mono/.pi/skills/learn-voice
Just say who you want to learn
Agent sees a cool vocalist
Queue now has 13 artists
Daemon running (PID 12345) - will train automatically
cd ../create-music
Train immediately (blocks until done)
Batch training
Start daemon for continuous training
From arguments
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About this skill
What does the learn-voice skill do?

Train RVC voice models from artist names. Full pipeline: YouTube search, download, stem separation, preprocessing, training, and model indexing. Builds a library of singing voices organized by category (voice/instrument).

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill learn-voice --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going