Analyze Go and Python code for anti-patterns and architectural issues.
npx skills add https://github.com/Lincyaw/agent-env --skill code-review-lincyaw
Please help me install this Agent Skill. Skill: code-review Source: https://github.com/Lincyaw/agent-env/tree/main/.github/skills/code-review Command: npx skills add https://github.com/Lincyaw/agent-env --skill code-review-lincyaw
This Skill addresses the challenge of ensuring code is high-quality, maintainable, extensible, and free from common pitfalls and architectural flaws.
Review the provided Go code for potential anti-patterns and architectural issues.
High-intent search queries and answers about installing and using this skill.
To check Go code for architectural anti-patterns, perform a professional code review focusing on structural, behavioral, and architectural flaws. This process analyzes code purposefulness and adherence to best practices to ensure long-term maintainability.
Evaluating code extensibility and maintainability involves auditing the codebase against established design patterns and identifying anti-patterns. This architectural soundness analysis determines how easily code can be modified or extended in the future.
Yes, automated code review supports Python refactoring recommendations by validating design patterns and detecting behavioral anti-patterns. It analyzes the code structure to provide actionable refactoring guidance that improves overall quality.
Design pattern validation during a code audit works by applying reference guides to analyze structural and behavioral anti-patterns. It checks the code's architectural soundness against best practices to ensure it correctly implements intended designs.
Yes, this code review approach works for both Python and Go, analyzing structural, behavioral, and architectural anti-patterns across languages. It applies reference guides to ensure code purposefulness and quality assurance regardless of the specific syntax.
zhongjisSearch code with AST patterns and refactor across JavaScript, TypeScript, Python, and Go files.
ngquaanghuyAnalyze entire codebases to identify and rank over-engineering issues.
julianobarbosaReview code for quality, bugs, security issues, and best practices using Codex.
DevHive1Orchestrate dependency, static analysis, and privacy dataflow scanners into prioritized reports.
