Skills matching the name, description or GitHub author.
Fetch PR review comments from AI reviewers, verify accuracy, and apply valid fixes. Use when the user wants to process AI code review comments, apply AI reviewer suggestions, or verify and implement automated c...
Comprehensive code review tool for Clean Code principles and project architecture. Supports single-file review (/review-code) and project-wide analysis (/review-code ). Checks variable naming, function length,...
Scan entire Python project directories and review all .py files for Clean Code principles. Use when the user requests project-wide code review with /review-project command, wants to analyze multiple files, or n...
Review code for Clean Code principles focusing on meaningful variable names, function length, and redundant comments. Use when the user requests code review with /review-code command, asks to check code quality...
Use the Google Gemini CLI to get a second opinion on code, architecture, and UI/UX work. Trigger when a user asks to consult Gemini, wants an external critique, or requests UI feedback, design alternatives, or...
Code Reviewer Agent. Frontend/Backend 코드 리뷰를 담당합니다. 코드 품질, 테스트 커버리지, 보안, 성능을 검토합니다.
Use when interacting with GitHub repositories, branches, or PRs. Automatically triggered for PR viewing, code review, and repo inspection tasks.
Comprehensive code review checking quality, security, and best practices. Triggers: CR, review, 審查, 檢查, check, 看一下, PR, code review, 品質, inspect, 檢視, 看看, 幫看, lint, quality check, 品質檢查, pull r...
Complete code review workflow for PR/MR with multiple reviewers and automated checks. Triggers: PRW, 審查流程, review workflow, PR review, MR review, pull request, merge request, 程式碼審查流程, full review, 完...
Create AI-assisted code reviews on GitHub, GitLab, or Forgejo. Use when asked to review a PR/MR, analyze code changes, or provide review feedback.
Code review workflow for evaluating changes against standards. Use when reviewing pull requests, commits, or diffs.
Code review and audit agent for pull requests and code quality
Reviews code for quality, security, and maintainability. Use after writing/modifying code, before commits, or when asked to review changes. Triggers on "review code", "check my changes", "code review".
This skill should be used when the user asks to "review code with codex", "run codex review", "check code quality", "codex レビュー", mentions "レビューゲート", or before git commit/PR/merge/release. Performs i...
Multi-agent spec review with parallel Claude/OpenCode reviewers. Use after spec-create or standalone via /spec.review.
Follow project-wide development conventions for file structure, documentation, version control, environment configuration, and code review processes. Use this skill when organizing project files and directories...
Use for security, quality, and PM compliance review before merging strategy code. Supports Ralph Loop iterative mode for backtest optimization. Runs PM audit, security audit, code review, backtest validation, a...
Automated TFVC code review for Azure DevOps changesets with Snyk security scanning and Notion integration
Phased Implementation Supervisor to coordinate coding and code review subagents. Use this skill when the user has an implentation plan file and wants to execute it phase by phase with build verification, testin...
Python code review specialist. Use when reviewing Python code, checking for bugs, security issues, or ensuring code quality standards.
PROACTIVELY USED when reviewing a PR, branch, or Jira story. Handles code review against requirements and provides actionable feedback.
Systematically fetch, analyze, and fix code review issues from GitHub Pull Requests. Use when the user asks to review and fix code issues from AI code reviewers (like Gemini Code Assist, GitHub Copilot, CodeRab...
Copilot agent that assists with comprehensive code review focusing on code quality, SOLID principles, security, performance, and best practices Trigger terms: code review, review code, code quality, best pract...
Automated code review for quality, security, and best practices. Use when user asks for code review, quality analysis, or wants feedback on their code.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.