Voice Builder
I shipped the first version of this skill and rated it, in my own notes, "not useful at all." It read three samples, described the tone back to me, and produced a voice.md that every brand could have shared. Describing a voice is not the same as specifying one. voice-builder now ships 15 starter voices: 4 trait variants (terse, warm, authoritative, playful, modeled on Stripe, Mailchimp, IBM and Duolingo), 4 ICP archetypes, and 7 language profiles. A starting voice is trait x ICP x language, so the agent installs the closest one and tunes it instead of guessing fresh on every call. Four scripts do the measuring: readability, archetype-match confidence, multilingual fidelity, and an EU compliance gate. It caught a real bug on a real client. The classifier scored a skincare brand as B2B SaaS at 0.93 confidence on sentence length alone. Adding direct-address density (94 second-person words per 1,000) re-landed it correctly at 1.0. Everything downstream reads what it writes: copy-engine, post-writer, outbound-engine, section-designer.
Business Application
In an enterprise environment, having an agent with deep expertise in Voice Builder means you can offload significant operational overhead. Rather than hiring external contractors or committing full-time internal engineering resources, this skill allows an artificial employee to operate as a completely independent contributor.
From strategy to final execution, the system continuously analyzes outcomes, integrates smoothly with existing internal tooling, and rigorously follows your overarching architectural guidelines.
Key Capabilities
15 installable starter voices
Measures, never eyeballs
Confidence-banded matching
Transcreation, not translation
Hard gate for regulated brands
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