Where are the new blended voices stored?

Blended profiles are saved as YAML files in your local project directory under .aiwg/voices/ or in your global configuration directory for use across different repositories.

Can I mix more than two voices at once?

Yes, Voice Blend supports multi-voice mixing. You can combine three or more profiles, and the skill will automatically calculate equal thirds or apply specific weights if provided.

What is a voice profile in this context?

A voice profile is a structured configuration file (YAML) that defines specific attributes like formality, warmth, vocabulary preferences, and structural patterns for an AI's writing style.

How does the skill resolve conflicting writing structures?

Structural elements like sentence length and paragraph style are determined by the 'dominant voice,' which is the profile assigned the highest weight in the blend.

Voice Blend

Name: Voice Blend
Author: jmagly

byjmagly

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Content Management

Synthesizes hybrid AI personalities by merging multiple stylistic profiles with weighted tone and vocabulary interpolation.

About

Voice Blend is a specialized utility within the AI Writing Guide framework designed to create nuanced, hybrid communication styles for autonomous agents. It allows users to combine distinct voice profiles—such as technical authority and friendly explainer—using either equal or weighted mixing. The skill intelligently interpolates tone dimensions like formality and warmth, merges vocabulary preferences, and resolves structural patterns based on the dominant voice, enabling developers to fine-tune how Claude communicates across varying project contexts and audiences.

Key Features

Mathematical interpolation of tone dimensions including formality and confidence
Automated lineage tracking and export to YAML for reuse in AI workflows
67 GitHub stars
Intelligent vocabulary merging with deduplicated preference and avoidance lists
Weighted multi-voice mixing for precise control over personality traits
Structural resolution that adopts formatting patterns from the dominant voice

Use Cases

Creating a hybrid 'executive-casual' voice for internal project updates
Synthesizing a 'technical-friendly' persona for user-facing documentation
Generating brand-consistent communication styles by blending multiple existing templates

About

Key Features

Mathematical interpolation of tone dimensions including formality and confidence
Automated lineage tracking and export to YAML for reuse in AI workflows
67 GitHub stars
Intelligent vocabulary merging with deduplicated preference and avoidance lists
Weighted multi-voice mixing for precise control over personality traits
Structural resolution that adopts formatting patterns from the dominant voice

Use Cases

Creating a hybrid 'executive-casual' voice for internal project updates
Synthesizing a 'technical-friendly' persona for user-facing documentation
Generating brand-consistent communication styles by blending multiple existing templates