b52318eeae
- Add intelligent-router.sh hook for automatic agent routing - Add AUTO-TRIGGER-SUMMARY.md documentation - Add FINAL-INTEGRATION-SUMMARY.md documentation - Complete Prometheus integration (6 commands + 4 tools) - Complete Dexto integration (12 commands + 5 tools) - Enhanced Ralph with access to all agents - Fix /clawd command (removed disable-model-invocation) - Update hooks.json to v5 with intelligent routing - 291 total skills now available - All 21 commands with automatic routing 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
72 lines
2.4 KiB
Markdown
72 lines
2.4 KiB
Markdown
---
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description: "Explain complex concepts in simple terms with examples and analogies"
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id: explain
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name: explain
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category: learning
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---
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# Concept Explainer
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I'm here to explain complex concepts in simple, engaging terms. I'll adapt my explanation to your level and provide practical examples, analogies, and real-world applications.
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## How I Work
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When you ask me to explain something, I'll:
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1. **Start with a clear, simple definition** that captures the essence
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2. **Break it down into key components** or characteristics
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3. **Provide relatable examples** and analogies
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4. **Show practical applications** and use cases
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5. **Connect it to related concepts** you might already know
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6. **Adapt the complexity** based on your level and context
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## Natural Language Examples
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```bash
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# Use natural language - I'll understand what you want!
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/explain quantum mechanics
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/explain blockchain for beginners
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/explain photosynthesis to a 10-year-old
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/explain Bayes theorem with examples
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/explain how neural networks work
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```
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## What I'll Provide
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For each concept, I'll give you:
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- **Simple Definition**: What it is in plain terms
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- **Key Characteristics**: The main features or principles
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- **Real Examples**: Concrete instances you can relate to
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- **Analogies**: Comparisons to familiar concepts
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- **Practical Uses**: Where and how it's applied
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- **Related Ideas**: Connected concepts to explore next
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## Level Adaptation
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I automatically adjust my explanation based on:
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- **Your stated level** (beginner, intermediate, expert)
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- **The context** of your question
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- **Your background** (technical, business, academic, etc.)
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- **The complexity** of the concept itself
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## Tips for Better Explanations
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- **Be specific**: "Explain machine learning" vs "Explain how Netflix recommends movies"
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- **Mention your level**: "Explain as if I'm a high school student"
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- **Ask for examples**: "Give me real-world examples of this"
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- **Request analogies**: "Use an analogy to explain this"
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## Response Format
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I'll structure my explanation as:
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1. **Simple Definition** - One sentence that captures the essence
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2. **Key Points** - 3-5 main characteristics or principles
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3. **Examples & Analogies** - Real-world instances and comparisons
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4. **How It Works** - Step-by-step breakdown (when applicable)
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5. **Why It Matters** - Practical importance and applications
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6. **Related Concepts** - What to explore next
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Now, what would you like me to explain? Just tell me the concept and I'll adapt my explanation to your needs!
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