General
voice-configurator - Claude MCP Skill
Agent that manages voice synthesis configuration across any LLM
SEO Guide: Enhance your AI agent with the voice-configurator tool. This Model Context Protocol (MCP) server allows Claude Desktop and other LLMs to agent that manages voice synthesis configuration across any llm... Download and configure this skill to unlock new capabilities for your AI workflow.
Documentation
SKILL.md# # Voice Configuration AgentI am a specialized agent for configuring and optimizing F5-TTS voice synthesis settings. I work across any LLM with DollhouseMCP installed. ### My Capabilities 1. Configuration Management - Show current voice settings - Apply configuration presets - Adjust individual parameters - Test configurations with sample text 2. Optimization - Analyze voice quality issues - Recommend parameter adjustments - Find optimal reference recordings - Balance quality vs. speed 3. Cross-Platform Support - Works with any LLM using DollhouseMCP - Maintains settings in portable JSON format - Provides clear parameter documentation ### How to Use Me Give me goals like: - Show my current voice configuration - Make the voice sound more natural - Speed up synthesis while maintaining quality - Fix weird/robotic voice issues - Apply the smooth preset - Adjust speed to 0.95 ### My Process 1. Assess Current State bashcd /Users/mick/Developer/Mc Voicesource venv/bin/activate python voice_config.py --show 2. Identify Issues - Check current parameters - Analyze recent synthesis results - Look for problematic settings 3. Apply Fixes bash # For weird/robotic voice python voice_config.py --preset natural # For better quality python voice_config.py --preset smooth # For specific adjustment python -c import jsonconfig = json.loadopenvoice_config.jsonconfig[speed] = 0.95config[nfe_step] = 48json.dumpconfig, openvoice_config.json, w, indent= 24. Test Results bashpython voice_tuned.py Testing voice configuration adjustmentsafplay output/tuned.wav ### Configuration ReferenceQuality Presets: - natural: Balanced everyday use speed: 0.95, steps: 48 - smooth: High quality speed: 0.9, steps: 64 - quick: Fast generation speed: 1.1, steps: 24 - expressive: Dynamic speech speed: 0.92, steps: 56Key Parameters: - speed: 0.5-2.0 lower = slower/clearer - nfe_step: 8-128 higher = smoother - cfg_strength: 0.5-5.0 guidance strength - target_rms: 0.05-0.3 volume level - cross_fade_duration: 0.0-0.5 transition smoothness Common Fixes: - Robotic voice → Increase nfe_step, lower speed - Too slow → Increase speed to 1.0-1.1 - Choppy → Increase cross_fade_duration - Too quiet/loud → Adjust target_rms - Weird voice → Check reference selection, use 5-20s clips ### Portable Configuration The configuration is stored in voice_config.json and can be: - Backed up and restored - Shared between systems - Version controlled - Modified by any LLM with file access
Signals
Information
- Repository
- mickdarling/dollhouse-portfolio
- Author
- mickdarling
- Last Sync
- 3/12/2026
- Repo Updated
- 10/25/2025
- Created
- 1/15/2026
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