review▌

Comprehensive code review for diffs with auto-detected domain-specific checks. \n \n Analyzes changed code for security vulnerabilities, anti-patterns, quality issues, and breaking changes across generic, frontend, and backend domains \n Auto-detects domain (frontend, backend, CLI, config) from file paths and applies relevant checklists \n Generates structured markdown reports with severity levels, file locations, code snippets, and actionable recommendations \n Performs impact analysis to ident

Review Google Meet attendance records and participant session durations. \n \n Requires the gws-meet skill to access Google Meet conference data \n Three-step workflow: list recent conferences, retrieve participant details, and view individual session timestamps and durations \n Returns tabular output for easy review of who attended and how long they stayed \n

AI-powered code review using CodeRabbit, triggered on explicit request or autonomously when quality/security issues are detected. \n \n Identifies bugs, security vulnerabilities, and quality risks; groups findings by severity (Critical, Warning, Info) \n Supports reviewing staged, committed, or all changes; can compare against specific branches or commit hashes \n Offers two output modes: --plain for detailed feedback with fix suggestions, or --prompt-only for minimal agent-optimized output \n E

Review a web app or page for visual design quality. This is not a UX audit (usability, workflow, friction) — this checks whether the design is professional, consistent, and polished.

Analyze, audit, and improve project structure.

Review pull requests against repository standards. Two-phase process: automated validation, then manual content review.

Systematic code review practices for constructive feedback, bug detection, and team knowledge sharing. \n \n Covers the complete review workflow: context gathering, high-level architecture assessment, line-by-line analysis, and decision-making with clear severity labeling (blocking, important, nit, suggestion) \n Includes language-specific patterns for Python, TypeScript, and JavaScript, plus specialized review techniques for security, testing, and architectural changes \n Provides templates, ch

Security-focused differential analysis of code changes with adaptive depth, blast radius calculation, and markdown reporting. \n \n Analyzes PRs, commits, and diffs across three codebase sizes (SMALL/MEDIUM/LARGE) with risk-first prioritization on auth, crypto, value transfer, and external calls \n Includes six-phase workflow: triage, code analysis, test coverage assessment, blast radius calculation, adversarial modeling, and comprehensive markdown report generation \n Detects security regressio

Comprehensive code reviews covering quality, security, performance, and best practices. \n \n Systematic review process across five dimensions: code quality, security vulnerabilities, performance, testing, and maintainability \n Includes initial assessment, detailed analysis guides, and constructive feedback frameworks \n Covers pull request analysis, coding standards compliance, and developer mentoring through structured review \n Best practices emphasize respectful feedback with explanations a

Systematic security code review identifying high-confidence vulnerabilities with data-flow verification. \n \n Focuses exclusively on HIGH CONFIDENCE findings: vulnerable patterns with confirmed attacker-controlled input, skipping theoretical issues and framework-mitigated code \n Requires codebase research before reporting: traces data flow, checks for validation/sanitization, and verifies exploitability rather than pattern-matching alone \n Covers 14 vulnerability categories (injection, XSS, a