refactor(tts): replace NeuTTS optional skill with built-in provider + setup flow

Remove the optional skill (redundant now that NeuTTS is a built-in TTS
provider). Replace neutts_cli dependency with a standalone synthesis
helper (tools/neutts_synth.py) that calls the neutts Python API directly
in a subprocess.

Add TTS provider selection to hermes setup:
- 'hermes setup' now prompts for TTS provider after model selection
- 'hermes setup tts' available as standalone section
- Selecting NeuTTS checks for deps and offers to install:
  espeak-ng (system) + neutts[all] (pip)
- ElevenLabs/OpenAI selections prompt for API keys
- Tool status display shows NeuTTS install state

Changes:
- Remove optional-skills/mlops/models/neutts/ (skill + CLI scaffold)
- Add tools/neutts_synth.py (standalone synthesis subprocess helper)
- Move jo.wav/jo.txt to tools/neutts_samples/ (bundled default voice)
- Refactor _generate_neutts() — uses neutts API via subprocess, no
  neutts_cli dependency, config-driven ref_audio/ref_text/model/device
- Add TTS setup to hermes_cli/setup.py (SETUP_SECTIONS, tool status)
- Update config.py defaults (ref_audio, ref_text, model, device)

hermes_cli/config.py

@@ -256,7 +256,10 @@ DEFAULT_CONFIG = {
             # Voices: alloy, echo, fable, onyx, nova, shimmer
         },
         "neutts": {
-            "voice": "",  # NeuTTS voice profile name (empty = use default)
+            "ref_audio": "",  # Path to reference voice audio (empty = bundled default)
+            "ref_text": "",   # Path to reference voice transcript (empty = bundled default)
+            "model": "neuphonic/neutts-air-q4-gguf",  # HuggingFace model repo
+            "device": "cpu",  # cpu, cuda, or mps
         },
     },