Identify and categorize logic and correctness issues in LeetCode Python solutions.
npx skills add https://github.com/taoluo/leetcode-study-system --skill lcreview
Please help me install this Agent Skill. Skill: lcreview Source: https://github.com/taoluo/leetcode-study-system/tree/main/.claude/skills/lcreview Command: npx skills add https://github.com/taoluo/leetcode-study-system --skill lcreview
This Skill helps developers perform a structured, category-driven review of LeetCode solution files, focusing on logic and correctness rather than syntax or style, to guide high-quality fixes.
Open a LeetCode solution file and run /lcreview to generate a structured, prioritized review.
High-intent search queries and answers about installing and using this skill.
A structured LeetCode code review identifies and categorizes logic and correctness issues in your Python solution file. It groups findings by category, prioritizing correctness and edge cases over syntax or style, and outputs structured findings to guide fixes.
A category-driven code review is the best way to find bugs in a Python LeetCode solution. It emphasizes logic, correctness, and edge cases over style or syntax, delivering actionable findings grouped by category to guide focused edits and high-quality fixes.
Yes, you can target a specific LeetCode Python file for review. The process applies to the active solution file or a targeted file identified by the user, using file headers or explicit problem references to locate the problem and generate structured, prioritized findings.
Yes, this code review prioritizes logic and correctness over syntax and style. It follows specific review priorities to emphasize correctness, edge cases, and invariants before style or syntax, grouping issues by category to guide high-quality fixes.
The structured review groups code issues by categories including Logic, Correctness, Edge Cases, and Invariants. This category-driven grouping prioritizes logic and correctness over syntax or style, delivering actionable findings to guide focused edits and fixes.
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