install
source · Clone the upstream repo
git clone https://github.com/a5c-ai/babysitter
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/a5c-ai/babysitter "$T" && mkdir -p ~/.claude/skills && cp -r "$T/library/specializations/algorithms-optimization/skills/solution-explainer" ~/.claude/skills/a5c-ai-babysitter-solution-explainer && rm -rf "$T"
manifest:
library/specializations/algorithms-optimization/skills/solution-explainer/SKILL.mdsource 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
- Problem Understanding: Restate the problem clearly
- Approach Overview: High-level strategy
- Algorithm Details: Step-by-step breakdown
- Complexity Analysis: Time and space with justification
- Code Walkthrough: Annotated implementation
- Edge Cases: Special scenarios handled
- Alternatives: Other valid approaches
Input Schema
{ "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
{ "type": "object", "properties": { "success": { "type": "boolean" }, "explanation": { "type": "string" }, "complexity": { "type": "object" }, "commonMistakes": { "type": "array" }, "alternatives": { "type": "array" }, "visuals": { "type": "array" } }, "required": ["success", "explanation"] }