multi-ai-code-review
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...
Skills matching the name, description or GitHub author.
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...
Use when generating Chinese format Excel reports from GitHub code reviews with AI analysis and filtering by date, branch, or reviewers
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.
Generate comprehensive, reviewer-ready code review documents from git diffs. Use this when the user provides code changes (git diff output, file changes, or asks to review code changes) and wants a structured r...
Orchestrates GitHub PR review by checking size, fetching PR data, invoking code review analysis, and posting results with native GitHub review actions
Quick PR code review with streamlined, concise feedback
Perform thorough code reviews focusing on security, performance, best practices, and maintainability. Use when reviewing PRs, checking code quality, or auditing existing code.
AI-powered code review focusing on bugs, security, and performance
Security-focused code review of diffs and pull requests using Trail of Bits expertise.
Automated code review for pull requests using specialized review patterns.
Provides AI consultation workflows, prompt templates, and best practices for multi-model consultation. Use when user asks for "second opinion", "ask codex", "ask gemini", "AI code review", "external AI consulta...
Reviews code changes before merging. Use when reviewing PRs, checking staged changes, reviewing diffs, code review, merge readiness check, or validating changes before commit/push.
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.