Knowledge Base Builder

by onewave-aifc5b7851a6c7No license325 starsListed Oct 8, 2026Updated Oct 8, 2026Repository updated 6 days ago

FAQ identification from support tickets, step-by-step tutorial creation, screenshot/video script guidance, search optimization, and self-service deflection tracking.

AI-generated overview

Turns support tickets into knowledge base articles, FAQs, tutorials, and deflection metrics.

What it does
Analyzes support tickets to find recurring questions and drafts knowledge base content from them. Produces FAQ sections, step-by-step tutorials with screenshot placement, video script guidance, search-optimized copy, and self-service deflection metrics. Output is a formatted markdown report with results and recommended next steps.
When to use it
Use when building or expanding a customer self-service knowledge base and you have support ticket data to mine for recurring questions. Also suited to drafting FAQ or tutorial content and tracking how much documentation deflects tickets.
Requirements
Instructions only; no scripts or bundled assets. Requires support ticket content as input and an agent capable of producing markdown output.

Knowledge Base Builder

FAQ identification from support tickets, step-by-step tutorial creation, screenshot/video script guidance, search optimization, and self-service deflection tracking.

Instructions

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.

Output Format

markdown
# Knowledge Base Builder Output
**Generated**: {timestamp}
---
## Results
[Your formatted output here]
---
## Recommendations
[Actionable next steps]

Best Practices

  1. Be Specific: Focus on concrete, actionable outputs
  2. Use Templates: Provide copy-paste ready formats
  3. Include Examples: Show real-world usage
  4. Add Context: Explain why recommendations matter
  5. Stay Current: Use latest best practices for customer-support

Common Use Cases

Trigger Phrases:

  • "Help me with [use case]"
  • "Generate [output type]"
  • "Create [deliverable]"

Example Request:

"[Sample user request here]"

Response Approach:

  1. Understand user's context and goals
  2. Generate comprehensive output
  3. Provide actionable recommendations
  4. Include examples and templates
  5. Suggest next steps

Remember: Focus on delivering value quickly and clearly!

Source and attribution

Source:onewave-ai/claude-skillsinknowledge-base-builderat commitfc5b785

License: No license

Content belongs to its original authors. SourceWeft indexes it from a public repository.

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