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Found 1,008 Skills
Research-backed code review skill with OWASP Top 10 security checks, SAST tool integration (SonarQube, CodeQL, Snyk), performance pattern detection, and automated quality standards enforcement. Auto-invoked for code review, security audit, PR analysis, and bug checking. Implements 2025 best practices with 92% faster vulnerability remediation.
Review code changes against pplx-sdk architecture conventions, type safety, error handling, and testing standards.
Run J-Star code review on staged changes. Analyze, fix P0/P1 issues, and iterate until clean.
Code review skill for quality, standards compliance, and best practices
Automated code review with security, performance, and best practices analysis. Use when reviewing pull requests or analyzing code for vulnerabilities, performance issues, or maintainability concerns.
Guide for making code reviews. Use this when asked to make code reviews, or ask to use it before committing changes.
Review code for quality, correctness, and best practices. Use when the user wants a code review or feedback on their implementation.
Reviews code changes for correctness, maintainability, security, and adherence to project conventions. Use when reviewing PRs, auditing recent changes, or getting a second opinion on implementation quality.
Frontend-focused code review skill for React/TypeScript/Tailwind projects. Analyzes code quality, security vulnerabilities (XSS, CSRF), performance issues, accessibility (WCAG), React best practices, hooks usage, component architecture, responsive design, and SEO. Use when users request code review, want feedback on components, ask about frontend security, performance optimization, or accessibility compliance. Provides actionable feedback with severity levels and fix suggestions.
Deep Python code review of changed files using git diff analysis. Focuses on production quality, security vulnerabilities, performance bottlenecks, architectural issues, and subtle bugs in code changes. Analyzes correctness, efficiency, scalability, and production readiness of modifications. Use for pull request reviews, commit reviews, security audits of changes, and pre-deployment validation. Supports Django, Flask, FastAPI, pandas, and ML frameworks.
Conduct context-driven code reviews focusing on quality, testability, and maintainability. Use when reviewing code, providing feedback, or establishing review practices.
Expert code review of current git changes with a senior engineer lens. Detects SOLID violations, security risks, and proposes actionable improvements.