gemini-code-review
AI-powered code review using Gemini models
Skills matching the name, description or GitHub author.
AI-powered code review using Gemini models
Run multi-provider code reviews over git diffs/PR changes using headless AI CLIs (Claude Code `claude`, Google `gemini`, optionally GitHub `copilot`) and output structured findings + an optional synthesized rep...
Get a second opinion from Gemini 3 Pro (gemini-3-pro-preview). Accepts text, code, and images as INPUT. Returns TEXT analysis, advice, and feedback. Use for code review, analyzing screenshots, UX feedback, debu...
Follow established project structure, version control practices, documentation standards, and development workflows to maintain consistency across the team. Use this skill when organizing files and directories...
Perform comprehensive code reviews following SOLID principles and best practices
Automated code review for Arduino/ESP32/RP2040 projects focusing on best practices, memory safety, and common pitfalls. Use when user wants code feedback, says "review my code", needs help improving code qualit...
Interact with GitHub repositories, issues, pull requests, and code via the GitHub MCP server. This skill should be used when managing repositories, creating/updating files, working with issues and PRs, searchin...
Performs comprehensive code reviews for Python files following PEP 8 and Google Python Style Guide standards. Checks code quality, best practices, security, performance, maintainability, and style compliance. U...
Build, refine, and evolve OpenCode agents with opinionated, research-backed guidance. Combines documentation research (webfetch, exa, context7, grep.app) with architectural best practices. Use for creating new...
Create and refine OpenCode agents via guided Q&A. Use proactively for agent creation, performance improvement, or configuration design. Examples: - user: "Create an agent for code reviews" → ask about scope, p...
Professional code review skill for Claude Code. Automatically collects file changes and task status. Triggers when working directory has uncommitted changes, or reviews latest commit when clean. Triggers: code...
Structured code review workflow for quality and consistency
Use when generating Chinese format Excel reports from GitHub code reviews with AI analysis and filtering by date, branch, or reviewers
代码审核辅助工具,支持本地 Git 库和 Gerrit Review。支持审核当前最新 commit、暂存的修改、未暂存的修改等,也支持 Golang、Qt/C++、Ansible 等多语言的 Gerrit Code Review。提供"必须修复/建议修复/可选改进"三级分级审核...
Use when preparing for production deployment, conducting code reviews, setting up precommit workflows, adding type specifications, implementing testing strategies, addressing security concerns, or ensuring docu...
Analyze pull request from github review comments, classify each comment (correct, uncertain, incorrect), and produce an ordered implementation plan. Use this for PR review triage, code review feedback analysis,...
Use CodeRabbit CLI to perform automated code review and iterative improvement in an AI agent workflow. Use when: (1) After generating non-trivial code (new features, refactors, algorithms), (2) Improving code q...
Engineering workflows for WordPress development including compound planning, code review, documentation generation, and git worktree strategies.
Read and manage GitHub PRs, issues, and notifications. Use when the user asks to check PRs, view code reviews, find review requests, or check CI status. Helps inform daily standups and code review workflows.
Skill for handling PR code reviews. Use when triggered by a PR review comment, review request, or when asked to review code changes. Provides workflow for reading review comments, understanding feedback, and it...
Comprehensive code review checklist. Use when asked to review code, PRs, pull requests, or before committing changes.
Security analysis, vulnerability assessment, and security code reviews
Code review skill for quality, standards compliance, and best practices
Use when reviewing code for security, performance, or quality issues. Provides checklists and patterns for thorough code review.
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.