Skills matching the name, description or GitHub author.
Comprehensive code review skill for Wasp applications. Use when reviewing code, PRs, or architectural changes. Covers Wasp-specific patterns, import rules, auth checks, TDD compliance, multi-tenant permissions,...
Natural language wrapper for code review - automatically triggers /code-review when users express intent to review code, check for bugs, or validate code quality
Comprehensive checklist and best practices for effective code reviews that catch bugs and improve code quality
Request and process code review efficiently with a simple rubric and patch plan
Systematic code review guidelines and checklist. Use this skill when reviewing code, conducting pull request reviews, or establishing code quality standards. Provides comprehensive review criteria covering func...
Check if current changes meets the quality standards and satisfy the given code review comments (if already given).
PR Code Review Processor
Run a single-session code review audit on the codebase
This skill should be used when writing Ruby and Rails code in DHH's distinctive 37signals style. It applies when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers o...
Create custom subagents for specialized AI tasks. Use when the user wants to create a subagent, set up task-specific agents, configure code reviewers, debuggers, or domain-specific assistants with custom prompt...
GitHub integration for code review, PR management, and issue tracking (GitHub集成：代码审查、PR管理、Issue追踪)
Perform automated code reviews with best practices, security checks, and refactoring suggestions. Use when reviewing code, checking for vulnerabilities, or analyzing code quality.
Visual inspection and code review for Web Interface Guidelines compliance. Triggers on "review my UI", "check accessibility", "audit design", "review UX", "fix the layout", "find design problems". Supports both...
Security-focused code review for PRs and diffs - risk classification, blast radius, attack scenarios.
Performs comprehensive code reviews of GitLab merge requests, analyzing code quality, security, performance, and best practices. Use when the user says "review" or "code review" or asks to review merge requests...
Use when entering Finalize phase of epic-stage-workflow - guides code review, testing, documentation, and final commits
Thorough code review for Rust/WebAssembly projects. Identifies bugs, security issues, performance problems, and maintainability concerns. Provides actionable feedback with specific suggestions.
Process code review findings interactively - fix or skip issues from monty-code-review output. Presents issues in severity order, applies fixes, runs quality checks, and updates review documents with status mar...
Git workflow and pull request specialist. Use when creating PRs, managing branches, establishing git conventions, or improving code review processes.
Pull request workflow and review expertise. Auto-invokes when PRs, code review, merge, or pull request operations are mentioned. Integrates with self-improvement plugin for quality validation.
Expert code review specialist for quality, security, and maintainability. Use when reviewing code changes, ensuring high development standards, or conducting security audits. Provides actionable feedback organi...
Perform comprehensive code reviews covering security, style, performance, and best practices. Use when reviewing code changes before commit or merge, auditing existing code, or checking for vulnerabilities.
This skill should be used when reviewing pull requests, performing comprehensive code review, analyzing code changes before merge, or when the user asks for thorough/ultra-critical code review. Performs EXTREME...
Code review of current git changes, compare to related plan if exists, identify bad engineering, over-engineering, or suboptimal solutions. Use when user asks to review changes, check git diff, validate impleme...
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.