Agent skill · Workflow & Productivity

tts-horus

This skill standardizes the end-to-end Horus voice workflow using uvx-style

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill tts-horus-grahama1970-agent-skills --agent claude-code

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

Facts
Files in the skill folder: 2
SKILL.md size: 5 KB
Bundled scripts: none
Path: skills/ai-ml/tts-horus-grahama1970-agent-skills/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

--- name: tts-horus description: > Build and operate the Horus TTS pipeline from cleared audiobooks. Includes dataset prep, WhisperX alignment, XTTS training, voice coloring, and persona inference helpers. allowed-tools: Bash, Read triggers: - horus tts - build horus voice - voice coloring - tts pipeline metadata: short-description: Horus TTS dataset + training + inference pipeline provides: - tts-horus composes: [, task-monitor] --- # Horus TTS Pipeline This skill standardizes the end-to-end Horus voice workflow using `uvx`-style invocations so dependencies are isolated per command. It assumes recordings live under `persona/data/audiobooks/` with per-book `clean/` folders. ## Commands ### `dataset` Builds the Horus dataset from Horus Rising using faster-whisper segmentation. ```bash # Step 1: Transcribe and segment python run/tts/ingest_audiobook.py \ --audio persona/data/audiobooks/Horus_Rising_The_Horus_Heresy_Book_1-LC_64_22050_stereo/audio.m4b \ --book-name Horus_Rising \ --output-dir datasets/horus_voice \ --max-hours 0 # Step 2: Extract clips (CPU-bound, uses ffmpeg) python run/tts/extract_clips.py \ --segments datasets/horus_voice/segments_merged.jsonl \ --audio persona/dat

What's inside
Steps it walks through
  1. Commands
  2. dataset
  3. align
  4. train
  5. say
  6. server
  7. color
  8. Notes
  9. Gotchas
  10. Learning Rate Schedule
  11. Automated Pipeline
  12. Current Status (2026-01-23)
Ships with 1 file
  • metadata.json
Commands it runs
Step 1: Transcribe and segment
python run/tts/ingest_audiobook.py \
Step 2: Extract clips (CPU-bound, uses ffmpeg)
python run/tts/extract_clips.py \
python run/tts/align_transcripts.py \
python run/tts/train_xtts_coqui.py --config configs/tts/horus_xtts.yaml
python run/tts/say.py "Lupercal speaks."
python run/tts/server.py
python run/tts/color_voice.py --base horus --color warm --alpha 0.4
Start extraction, then auto-train when complete
More from claude-skill-registry
All skills →
About this skill
What does the tts-horus skill do?

This skill standardizes the end-to-end Horus voice workflow using uvx-style

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill tts-horus-grahama1970-agent-skills --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