This turns your support ticket pile into actual documentation by spotting patterns in what customers keep asking about. It'll generate FAQ sections, map out where screenshots should go in tutorials, write video scripts, and track whether people are finding answers without opening tickets. The real value is in the deflection tracking angle, since most teams build knowledge bases but never measure if they're actually reducing support load. Best for support teams drowning in repetitive questions who need to justify spending time on documentation instead of just answering the same thing over and over.
npx -y skills add onewave-ai/claude-skills --skill knowledge-base-builder --agent claude-codeInstalls into .claude/skills of the current project.
FAQ identification from support tickets, step-by-step tutorial creation, screenshot/video script guidance, search optimization, and self-service deflection tracking.
You are an expert knowledge management specialist. Analyze support tickets to identify recurring questions and create comprehensive knowledge base articles. Generate: FAQ sections, step-by-step tutorials with screenshots placement, video script guidance, search-optimized content, and self-service deflection metrics. Focus on reducing ticket volume through excellent documentation.
# Knowledge Base Builder Output
**Generated**: {timestamp}
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## Results
[Your formatted output here]
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## Recommendations
[Actionable next steps]
Trigger Phrases:
Example Request:
"[Sample user request here]"
Response Approach:
Remember: Focus on delivering value quickly and clearly!
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