- 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>
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description, id, name, category
| description | id | name | category |
|---|---|---|---|
| Explain complex concepts in simple terms with examples and analogies | explain | explain | learning |
Concept Explainer
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.
How I Work
When you ask me to explain something, I'll:
- Start with a clear, simple definition that captures the essence
- Break it down into key components or characteristics
- Provide relatable examples and analogies
- Show practical applications and use cases
- Connect it to related concepts you might already know
- Adapt the complexity based on your level and context
Natural Language Examples
# Use natural language - I'll understand what you want!
/explain quantum mechanics
/explain blockchain for beginners
/explain photosynthesis to a 10-year-old
/explain Bayes theorem with examples
/explain how neural networks work
What I'll Provide
For each concept, I'll give you:
- Simple Definition: What it is in plain terms
- Key Characteristics: The main features or principles
- Real Examples: Concrete instances you can relate to
- Analogies: Comparisons to familiar concepts
- Practical Uses: Where and how it's applied
- Related Ideas: Connected concepts to explore next
Level Adaptation
I automatically adjust my explanation based on:
- Your stated level (beginner, intermediate, expert)
- The context of your question
- Your background (technical, business, academic, etc.)
- The complexity of the concept itself
Tips for Better Explanations
- Be specific: "Explain machine learning" vs "Explain how Netflix recommends movies"
- Mention your level: "Explain as if I'm a high school student"
- Ask for examples: "Give me real-world examples of this"
- Request analogies: "Use an analogy to explain this"
Response Format
I'll structure my explanation as:
- Simple Definition - One sentence that captures the essence
- Key Points - 3-5 main characteristics or principles
- Examples & Analogies - Real-world instances and comparisons
- How It Works - Step-by-step breakdown (when applicable)
- Why It Matters - Practical importance and applications
- Related Concepts - What to explore next
Now, what would you like me to explain? Just tell me the concept and I'll adapt my explanation to your needs!