Does it handle sensitive information and PII?

Yes, the skill includes a quality assurance step that flags sensitive information and redacts customer names and contact details from examples.

What is confidence scoring in this context?

It is a methodology that rates guideline sections based on source frequency; high confidence requires 3+ corroborating sources, while low confidence indicates inferred or conflicting data.

What types of files can this skill analyze?

The skill can process PDFs, PPTX, DOCX, Markdown, and TXT files, as well as transcripts from platforms like Gong, Granola, and Notion.

Can I use this without existing documents?

Yes, you can provide direct user input about your values, or use the discover-brand skill first to generate a foundational report.

Where are the generated brand guidelines stored?

By default, guidelines are saved to .claude/brand-voice-guidelines.md within your project's working directory for easy access in future sessions.

Brand Voice Guideline Generator

Name: Brand Voice Guideline Generator
Author: lilbom32

bylilbom32

0•

Automatización de Marketing

Transforms raw documents, transcripts, and discovery reports into structured, LLM-ready brand voice guidelines.

This skill empowers Claude to synthesize comprehensive brand voice guidelines by analyzing diverse source materials including sales transcripts, discovery reports, and corporate documents. It extracts core identity markers to build 'We Are / We Are Not' tables and tone-by-context matrices, ensuring brand consistency across all AI-generated outputs. By incorporating automated confidence scoring and quality assurance checks, the skill identifies ambiguity and provides actionable recommendations to bridge gaps in brand documentation, saving the results locally for seamless integration with other brand-focused tasks.

Características Principales

01Dynamic Tone-by-Context matrix for varied content delivery

02Integrated quality assurance for PII redaction and guideline completeness

03Automated confidence scoring for source reliability tracking

04Multi-source synthesis from PDFs, transcripts, and discovery reports

05Structured 'We Are / We Are Not' brand identity anchoring

060 GitHub stars

Casos de Uso

01Consolidating fragmented brand materials into a single LLM-ready playbook

02Extracting a cohesive brand voice from hours of sales call transcripts

03Converting a strategic discovery report into actionable writing guidelines

Características Principales

01Dynamic Tone-by-Context matrix for varied content delivery

02Integrated quality assurance for PII redaction and guideline completeness

03Automated confidence scoring for source reliability tracking

04Multi-source synthesis from PDFs, transcripts, and discovery reports

05Structured 'We Are / We Are Not' brand identity anchoring

060 GitHub stars

Casos de Uso

01Consolidating fragmented brand materials into a single LLM-ready playbook

02Extracting a cohesive brand voice from hours of sales call transcripts

03Converting a strategic discovery report into actionable writing guidelines