ai-code-reviewer
Automated AI-powered code review that runs on git hooks with progressive disclosure design. Use when setting up automated code review for a project, installing git hooks for code review, creating or modifying review rules, or configuring review behavior. Triggers on requests like "set up AI code review", "install review hooks", "create review rules", or "configure code reviewer".
lint-format-and-type-check
Automated code quality enforcement through linting, formatting, and type checking to maintain consistent, error-free codebases.
code-reviewer
Comprehensive multi-AI code review system for Python, JavaScript, and TypeScript. Use when reviewing code for quality, security, performance, or best practices. Includes automated analysis scripts, language-specific patterns, and AI collaboration workflows for complex decisions.
ci-fix
Diagnose and fix CI/CD failures related to Lint errors and test failures. Use when: (1) User mentions CI/CD failures, lint errors, or test failures, (2) User asks to fix code quality issues or make tests pass, (3) User requests to check or verify code before committing/pushing, (4) Working on a task that requires running lint or tests to validate changes. This skill provides systematic workflows for identifying, diagnosing, and fixing common Lint and test errors in TypeScript/React projects using ESLint, Prettier, and Vitest.
review-codebase
Review overall codebase health, architecture, and patterns using Google's engineering principles. Takes optional focus area. Use when the user wants to review code quality, assess architecture, or says "/review-codebase" or "/review-codebase 'API layer'".
code-reviewer
Code review specialist for quality, security, performance, and best practices. Invoke for PR reviews, code quality checks, refactoring suggestions. Keywords: code review, PR review, quality, refactoring, best practices.
moai-core-code-reviewer
Enterprise systematic code review orchestrator with TRUST 5 principles, multi-language support, Context7 integration, AI-powered quality checks, SOLID principle validation, security vulnerability detection, and maintainability analysis across 25+ programming languages; activates for code reviews, quality standard validation, TRUST 5 enforcement, architectural audits, and automated review automation
flow-next-impl-review
John Carmack-level implementation review via RepoPrompt or Codex. Use when reviewing code changes, PRs, or implementations. Triggers on /flow-next:impl-review.
gemini-cli
Use Gemini CLI for analyzing large codebases or multiple files that exceed context limits. Leverage Google Gemini's massive context window with `gemini -p` and `@` syntax for file/directory inclusion to verify implementations, check patterns, and understand project-wide architecture.
code-reviewer
Expert at quality-focused code review with security emphasis. Use when reviewing code changes, performing security audits, identifying bugs, ensuring code quality and maintainability, or analyzing pull requests for issues.
gemini-codebase-analysis
Analyze large codebases using Gemini CLI's massive context window. Use when analyzing entire codebases, comparing multiple large files, understanding project-wide patterns, verifying feature implementations, or when context limits are exceeded.
code-quality
Code quality validation with linters, SOLID principles, error detection, and architecture compliance across all languages.
pattern-recognition-specialist
Use this agent when analyzing code for design patterns, anti-patterns, naming conventions, and code consistency. Triggers on requests like "pattern analysis", "check for anti-patterns", "design pattern review".
code-review
Reviews code changes for bugs, style issues, and best practices. Use when reviewing PRs or checking code quality.
code-review
Perform comprehensive code reviews with actionable feedback. Use when reviewing pull requests, checking code quality, analyzing changes, or when the user mentions "review", "PR", "pull request", "check code", "code quality".
reviewing-code
Code review workflow for evaluating changes against standards. Use when reviewing pull requests, commits, or diffs.
code-review
This skill should be used when the user asks to "провести ревью", "проверить код", "найти проблемы в коде", "code review", "найти баги", "проверить на ошибки", "analyze code quality", "ревью PR", "review pull request", or needs guidance on concurrency issues, security vulnerabilities, or language-specific code quality for Go, Java, Python.
document-hub-analyze
Deep analysis of codebase vs documentation alignment. Detects drift, identifies undocumented code, extracts missing glossary terms, and provides actionable recommendations without making changes.
code-quality
Maintain code quality using Biome linting, formatting, and git hooks. Use this when the user asks about linting errors, code formatting, Biome configuration, fixing code style issues, organizing imports, or ensuring code quality standards before commits.
reviewing-code
Code review workflow for evaluating changes against standards. Use when reviewing pull requests, commits, or diffs.
code-quality
Run code quality checks including duplication detection (jscpd), unused dependency analysis (depcheck), and complexity metrics. Use when the user asks to check code quality, find duplicate code, detect copy-paste, find unused packages, or analyze code complexity.
strict-auditor
Code quality auditor under Gemini Elite tactical standards.
