npx skills add a5c-ai/babysitter --skill solution-explainer --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# 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
- Purpose
- Capabilities
- Target Processes
- Explanation Framework
- Input Schema
- Output Schema
What does the solution-explainer skill do?
Generate clear explanations of algorithm solutions
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill solution-explainer --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.