solution-explainer

Solid

Generate clear explanations of algorithm solutions

AI & Automation 814 stars 53 forks Updated today MIT

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Quality Score: 92/100

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Description 5%
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Skill Content

# Solution Explainer Skill ## Purpose Generate clear, educational explanations of algorithm solutions suitable for interviews, learning, and documentation. ## Capabilities - Step-by-step solution walkthrough - Time/space complexity explanation - Alternative approach comparison - Common mistake highlights - Visual aids generation - Interview-style explanation formatting ## Target Processes - interview-problem-explanation - leetcode-problem-solving - mock-coding-interview - algorithm-implementation ## Explanation Framework 1. **Problem Understanding**: Restate the problem clearly 2. **Approach Overview**: High-level strategy 3. **Algorithm Details**: Step-by-step breakdown 4. **Complexity Analysis**: Time and space with justification 5. **Code Walkthrough**: Annotated implementation 6. **Edge Cases**: Special scenarios handled 7. **Alternatives**: Other valid approaches ## Input Schema ```json { "type": "object", "properties": { "problem": { "type": "string" }, "solution": { "type": "string" }, "language": { "type": "string" }, "depth": { "type": "string", "enum": ["brief", "standard", "detailed"] }, "includeVisuals": { "type": "boolean", "default": false }, "interviewStyle": { "type": "boolean", "default": false } }, "required": ["problem", "solution"] } ``` ## Output Schema ```json { "type": "object", "properties": { "success": { "type": "boolean" }, "explanation": { "type": "string" }, "complexity": ...

Details

Author
a5c-ai
Repository
a5c-ai/babysitter
Created
4 months ago
Last Updated
today
Language
JavaScript
License
MIT

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