Skills matching the name, description or GitHub author.
Use when reviewing code or PRs in the llama-stack repository (llamastack/llama-stack on GitHub). Provides specialized knowledge about Llama Stack's architecture, testing patterns (recordings folders), backward...
Use when reviewing OpenAI API usage, answering questions about OpenAI endpoints, or validating implementations against the official API specification. Provides expert knowledge on chat completions, embeddings,...
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs.
Code review skill. Use when reviewing changes, commits, branches, or pull requests. Focuses on bugs, structure, performance with actionable feedback.
Deep, excruciating code review. Use anytime to analyze code for correctness, edge cases, security, performance, and design issues. Not tied to baseline—this is pure code analysis.
Provides a structured workflow for planning and executing code reviews like a senior engineer. Use when asked to review code, PRs, or plan a code review task.
Use Codex CLI (OpenAI) for code consultation and review. Triggers: "codex", "ask codex", "code review", "review this" Use cases: (1) Message/copy review, (2) Code review, (3) Design consultation, (4) Bug invest...
Performs structured code reviews focusing on bugs, security, performance, and best practices. Use when reviewing code, pull requests, diffs, or when the user asks for feedback on implementations.
Review code changes for bugs, logic errors, regressions, and missing tests. Use when the user asks for a code review, review of uncommitted files, or review of specific diffs/files/PR changes. Default to uncomm...
Collects and organizes code review feedback into actionable tasks.
Review implementation quality and regression risks via claude-delegator (Code Reviewer expert). Use after implementation for complex tasks, refactors, or API changes.
Validate integration impact and regression risks via claude-delegator (Code Reviewer expert). Use for complex tasks or API integration.
manage pull request code reviews, approvals, comments, and feedback cycles
OMCC (Coder-Reviewer-Advisor) collaboration for code and document tasks. Use when: writing/modifying code, editing documents, implementing features, fixing bugs, refactoring, or code review. 协调 Coder 执行代码...
Use when reviewing code, verifying implementations, checking security, validating acceptance criteria, or conducting code reviews for a completed implementation.
Best practices for conducting effective code reviews that improve code quality, share knowledge, and maintain team standards.
Conduct thorough code reviews focusing on code quality, security, best practices, and project standards. Use when asked to review code or PRs.
This skill should be used when the user asks to "request code review", "prepare for PR review", "code review checklist", "pre-review validation", "review preparation", or needs guidance on preparing code for pe...
通过 Codex MCP 工具进行代码审查、算法设计、架构分析和性能优化。适用于复杂技术任务（>10行核心逻辑）、系统级设计、多约束权衡、性能瓶颈分析。触发词：review、code review、代码审查、算法设计、复杂算法、架构分析、架...
Comprehensive code review and health check. Use when user needs project audit, code quality check, conflict detection, or says "review code", "check project", "audit codebase", "health check", "find issues", "c...
Omniscient hyper-elite software engineering command center. Triggers: write code, debug, fix bug, build app, create API, design system, architect, deploy, secure, optimize, refactor, review code, test, CI/CD, D...
Elite software engineering toolkit for building production-grade applications. Use when developing, debugging, optimizing, or deploying code—especially for API development, database design, performance tuning,...
Use when receiving code review feedback, before implementing suggestions, especially if feedback seems unclear or technically questionable - requires technical rigor and verification, not performative agreement...
Run the complete code review pipeline on recent changes. Launches three review agents in parallel to check code quality, error handling, and simplification opportunities.
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.