The Guideline Generation skill automates the creation of comprehensive brand style guides by synthesizing raw data from multiple sources like meeting recordings, PDFs, and sales calls. It extracts core brand identity markers—such as 'We Are / We Are Not' attributes and context-specific tone matrices—while assigning confidence scores to ensure accuracy. This skill is essential for teams looking to enforce a consistent brand voice across AI-generated content, providing a centralized, actionable playbook that Claude can reference for every writing task to ensure it always sounds like your brand.
주요 기능
01Privacy-first processing with built-in PII redaction
02Multi-source synthesis from transcripts, documents, and discovery reports
03Automated 'We Are / We Are Not' identity anchor extraction
04Evidence-based confidence scoring for guideline accuracy
05Contextual tone mapping for different communication channels
0618 GitHub stars
사용 사례
01Converting sales call transcripts into a formal brand voice playbook
02Analyzing meeting recordings to identify implicit brand values and tone
03Consolidating scattered brand materials into a single LLM-enforceable guide