Skills matching the name, description or GitHub author.
Comprehensive iOS development guidance including Swift best practices, SwiftUI patterns, UI/UX review against HIG, and app planning. Use for iOS code review, best practices, accessibility audits, or planning ne...
watchOS development guidance including SwiftUI for Watch, Watch Connectivity, complications, and watch-specific UI patterns. Use for watchOS code review, best practices, or Watch app development.
Use phab CLI for Phabricator task management, code review workflows, revision creation and updates, with Git integration and auto-detection features.
Git version control and GitHub CLI workflows for commits, branches, pull requests, and code reviews with professional commit message practices.
Java service standards for Bitso projects. Covers tech stack requirements, project organization, code review guidelines, MapStruct usage, and build verification practices. Use when creating new Java services or...
Executes OpenAI Codex CLI for code analysis, refactoring, and automated editing. Activates when users mention codex commands, code review requests, or automated code transformations requiring advanced reasoning...
Analyze completed development work to identify automation and systematization opportunities. Use after finishing features, fixing bugs, or completing code reviews. Triggers on "analyze for automation", "what ca...
Perform automated code reviews with best practices.
A skill for conducting thorough code reviews, identifying issues, suggesting improvements, and ensuring code quality standards are met.
Conduct context-driven code reviews focusing on quality, testability, and maintainability. Use when reviewing code, providing feedback, or establishing review practices.
Code Reviewer Specialist. Use this to review PRs, check security, and ensure code quality standards before merging.
Repeatable process for an application security code review that produces prioritized findings and fix guidance.
AI-assisted code review for bugs, style, performance, and security issues. Use this skill when reviewing code changes, pull requests, or when asked to check code quality.
Guide for making code reviews. Use this when asked to make code reviews, or ask to use it before committing changes.
Modern Git collaboration patterns for team development - branching strategies, PR workflows, commit conventions, and code review best practices
Canonical, cross-language clean code standard with stable rule IDs (CC-*) and language overlays. Single source of truth for clean code rules; code reviews cite CC-* IDs instead of restating rules.
Patterns, checklists, and templates for systematic code review with a focus on correctness, security, readability, performance, and maintainability.
Perform comprehensive code reviews using OpenAI Codex CLI. This skill should be used when users request code reviews, want to analyze diffs/PRs, need security audits, performance analysis, or want automated cod...
Security vulnerabilities in AI-generated code and LLM applications, covering OWASP Top 10 for LLMs, secure coding patterns, and AI-specific threat modelsUse when "ai code security, llm vulnerabilities, ai gener...
Expert in the human side of code review. Covers giving feedback that lands, receiving criticism gracefully, navigating disagreements, and building a healthy review culture. Understands that code review is as mu...
The art of reviewing code that improves both the codebase and the developer - sharing knowledge, maintaining standards, and building cultureUse when "code review, PR review, pull request, merge request, review...
Systematic code cleanup and refactoring agent that identifies and fixes code quality issues without changing functionality. Focuses on: - Dead code removal - Import organization - Type improvements - Consistent...
Execute Linear issues or tasks using hive mind orchestration with parallel agents, code review, and documentation updates. Use for phase execution, epic completion, or complex multi-task work.
Comprehensive GitHub code review with AI-powered swarm coordination
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.