Free SKILL.md scraped from GitHub. Clone the repo or copy the file directly into your Claude Code skills directory.
npx versuz@latest install a5c-ai-babysitter-library-specializations-algorithms-optimization-skills-leetcode-git clone https://github.com/a5c-ai/babysitter.gitcp babysitter/SKILL.MD ~/.claude/skills/a5c-ai-babysitter-library-specializations-algorithms-optimization-skills-leetcode-/SKILL.md---
name: leetcode-problem-fetcher
description: Fetch and parse LeetCode problems with metadata, constraints, examples, hints, difficulty ratings, and related problems. Integrates with LeetCode API for comprehensive problem data retrieval.
allowed-tools: Bash, Read, Write, WebFetch, WebSearch
metadata:
author: babysitter-sdk
version: "1.0"
category: algorithms-optimization
skill-id: SK-ALGO-001
priority: high
---
# leetcode-problem-fetcher
A specialized skill for fetching and parsing LeetCode problems with complete metadata, suitable for competitive programming practice, interview preparation, and algorithm learning workflows.
## Purpose
Extract comprehensive problem data from LeetCode including:
- Problem statements and descriptions
- Input/output constraints and formats
- Test cases and hidden constraints
- Problem difficulty, tags, and acceptance rate
- Related problems and pattern tags
- Hints and solution approaches
## Capabilities
### Core Features
1. **Problem Retrieval**
- Fetch problems by title slug (URL-friendly name)
- Retrieve daily challenge problems
- Search problems by category, tags, difficulty, or keywords
- Access premium problem alternatives when available
2. **Metadata Extraction**
- Difficulty level (Easy, Medium, Hard)
- Acceptance rate and submission statistics
- Problem tags and categories
- Related problems and similar questions
- Company tags (when available)
3. **Content Parsing**
- Problem description in markdown format
- Input/output examples with explanations
- Constraints and edge cases
- Follow-up questions and optimizations
- Code templates for multiple languages
4. **User Data Access**
- User profile and statistics
- Contest ranking and history
- Submission history and solutions
- Progress tracking across problem sets
## Integration Options
### MCP Server (Recommended)
```bash
# Install LeetCode MCP Server by jinzcdev
claude mcp add-json "leetcode" '{"type":"stdio","command":"npx","args":["-y","@jinzcdev/leetcode-mcp-server","--site","global"]}'
```
**Available MCP Tools:**
- `get_daily_challenge` - Fetch daily LeetCode challenge
- `get_problem` - Retrieve problem by titleSlug
- `search_problems` - Filter by category, tags, difficulty, keywords
- `get_user_profile` - Access user data
- `get_user_contest_ranking` - Track contest performance
### Direct API Integration
```javascript
// GraphQL endpoint for LeetCode
const LEETCODE_GRAPHQL = 'https://leetcode.com/graphql';
// Query for problem details
const problemQuery = `
query getProblem($titleSlug: String!) {
question(titleSlug: $titleSlug) {
questionId
title
titleSlug
content
difficulty
topicTags { name slug }
hints
sampleTestCase
codeSnippets { lang code }
stats
}
}
`;
```
### Browser Extension
**Competitive Companion** - Parses problems from LeetCode and 115+ other online judges:
- Chrome: [competitive-companion](https://chrome.google.com/webstore/detail/competitive-companion)
- Firefox: [competitive-companion](https://addons.mozilla.org/en-US/firefox/addon/competitive-companion)
## Usage
### Fetch a Problem
```bash
# Using MCP Server
leetcode get_problem --titleSlug "two-sum"
# Output includes:
# - Problem title and description
# - Difficulty and acceptance rate
# - Topic tags
# - Examples and constraints
# - Code templates
```
### Search Problems
```bash
# Search by difficulty and tags
leetcode search_problems --difficulty MEDIUM --tags "dynamic-programming,array"
# Search by keyword
leetcode search_problems --keyword "substring"
```
### Get Daily Challenge
```bash
# Fetch today's daily challenge
leetcode get_daily_challenge
```
## Output Schema
```json
{
"problem": {
"id": "string",
"title": "string",
"titleSlug": "string",
"difficulty": "Easy|Medium|Hard",
"acceptanceRate": "number",
"description": "string (markdown)",
"constraints": ["string"],
"examples": [
{
"input": "string",
"output": "string",
"explanation": "string"
}
],
"hints": ["string"],
"topicTags": ["string"],
"similarQuestions": ["string"],
"codeTemplates": {
"python3": "string",
"cpp": "string",
"java": "string"
}
},
"metadata": {
"fetchedAt": "ISO8601 timestamp",
"source": "leetcode.com|leetcode.cn"
}
}
```
## Integration with Processes
This skill enhances the following processes:
- `leetcode-problem-solving` - Core problem-solving workflow
- `pattern-recognition` - Identifying algorithmic patterns
- `faang-interview-prep` - FAANG interview preparation
## References
- [LeetCode MCP Server (jinzcdev)](https://github.com/jinzcdev/leetcode-mcp-server)
- [LeetCode MCP Server (doggybee)](https://github.com/doggybee/mcp-server-leetcode)
- [Competitive Companion](https://github.com/jmerle/competitive-companion)
- [Competitive Programming Helper (CPH)](https://github.com/agrawal-d/cph)
## Error Handling
| Error | Cause | Resolution |
|-------|-------|------------|
| `PROBLEM_NOT_FOUND` | Invalid titleSlug | Verify problem URL or slug |
| `RATE_LIMITED` | Too many requests | Implement exponential backoff |
| `AUTH_REQUIRED` | Premium problem | Use alternative or authenticate |
| `NETWORK_ERROR` | Connection failed | Check network, retry with backoff |
## Best Practices
1. **Caching**: Cache problem data to reduce API calls
2. **Rate Limiting**: Respect LeetCode's rate limits (use delays between requests)
3. **Error Handling**: Gracefully handle premium/locked problems
4. **Offline Mode**: Store fetched problems for offline practice
5. **Data Freshness**: Re-fetch periodically for updated statistics