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knowledge-base-builder — Claude Code skill: docs from support tickets

Turns support tickets into knowledge base articles: FAQ sections, step-by-step tutorials with screenshot placement, video scripts and deflection metrics.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add OneWave-AI/claude-skills --skill knowledge-base-builder -a claude-code
Open on GitHub

What knowledge-base-builder does

The skill acts as a knowledge management specialist. Hand it a batch of support tickets and it pulls out the questions that keep coming back, then writes FAQ sections, step-by-step tutorials with notes on where screenshots belong, and guidance for a video script. It also drafts search-optimized copy and self-service deflection metrics.

Output is markdown: a results block followed by recommended next steps. The instructions push for concrete deliverables, copy-paste templates and real examples rather than generic advice. There is nothing to configure — no API keys, no runtime, just a prompt file the agent reads.

Six platforms are listed and each has its own install path. GitHub Copilot uses gh skill install, everything else goes through npx skills add. Mix the two up and the skill lands in a directory your agent never scans. After installing, check the file is where you expect it: on Claude that is ~/.claude/skills/knowledge-base-builder/SKILL.md.

What it helps with

  • find recurring questions in a ticket export
  • draft a knowledge base article for a common issue
  • lay out a step-by-step tutorial and mark screenshot spots
  • write a script for a short how-to video
  • rewrite headings so users find the article in search

Example prompts for the agent

  • Go through these support tickets and list the questions that come up most
  • Turn that into a step-by-step tutorial and tell me where screenshots go
  • Draft a short video script for this walkthrough and a search-friendly title

How to install knowledge-base-builder

1Skills CLI (Vercel)

npx skills add OneWave-AI/claude-skills --skill knowledge-base-builder -a claude-code

2Manually: put the files in place

~/.claude/skills/knowledge-base-builder/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/knowledge-base-builder/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about knowledge-base-builder

How do I install knowledge-base-builder in Claude?

Run npx skills add OneWave-AI/claude-skills --skill knowledge-base-builder -a claude-code. The skill file then sits at ~/.claude/skills/knowledge-base-builder/SKILL.md.

What does knowledge-base-builder do?

It reads support tickets and turns them into knowledge base content: FAQ entries, step-by-step tutorials, video scripts and search-optimized text, plus deflection metrics.

Does it need an API key or extra libraries?

No. It is a single SKILL.md instruction file and calls no external services.

Source text

SKILL.md · MIT
---
name: knowledge-base-builder
description: FAQ identification from support tickets, step-by-step tutorial creation, screenshot/video script guidance, search optimization, and self-service deflection tracking.
---

# 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!

© OneWave-AI · MIT · OneWave-AI/claude-skills

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