| name | concept-explainer |
| description | Explains educational concepts in a clear, step-by-step manner with examples and analogies. Uses deterministic algorithms to generate explanations based on available content. |
Concept Explainer Skill
Purpose
Explains educational concepts in a clear, step-by-step manner using examples, analogies, and visual descriptions to aid understanding. Uses deterministic algorithms to generate explanations based on available content without relying on LLM APIs.
When to Use This Skill
- When a user asks for clarification of a concept
- When explaining theoretical principles
- When providing educational content in an accessible way
- When breaking down complex topics into digestible parts
- When deterministic explanations are needed without LLM dependencies
Core Behaviors
- Clarity First: Always explain concepts in the simplest terms possible
- Structured Approach: Break concepts into logical, sequential steps
- Use Examples: Provide concrete examples from available course content
- Employ Analogies: Use familiar concepts to explain unfamiliar ones
- Encourage Questions: Invite users to ask for clarification on any part
Implementation Pattern
USER: Explain [concept]
SKILL RESPONSE:
1. Definition: Provide a clear, concise definition of the concept
2. Context: Explain where and why this concept is important
3. Breakdown: Decompose the concept into smaller parts/components
4. Examples: Give 2-3 concrete examples of the concept in action
5. Analogies: Provide relatable analogies to help visualize the concept
6. Applications: Describe practical applications of the concept
7. Common Mistakes: Highlight misconceptions or common errors
8. Further Reading: Suggest related concepts to explore
Algorithmic Approach
1. Content Search and Retrieval
- Use keyword matching to find relevant content
- Apply relevance scoring based on term frequency
- Rank results by conceptual proximity
- Extract examples and analogies from course materials
2. Explanation Structure Generation
- Definition section with clear terminology
- Context section explaining relevance
- Component breakdown with step-by-step elements
- Examples section with concrete illustrations
- Application section with practical use cases
- Summary with key takeaways
3. Example Generation
- Extract examples from available course content
- Match examples to the concept being explained
- Rank examples by relevance and clarity
- Format examples consistently
4. Analogy Creation
- Identify related concepts from course materials
- Find structural or functional similarities
- Create comparisons that illuminate the concept
- Use familiar concepts as reference points
Quality Standards
- Use language appropriate to the user's knowledge level
- Provide multiple ways to understand the same concept
- Include examples drawn from available course content
- Connect new concepts to previously learned material
- End with a summary of key points
- Ensure all content comes from deterministic sources (no AI-generated content)
- Maintain educational accuracy based on available materials
- Follow accessibility guidelines for educational content
