pr-comments
Read and analyze GitHub pull request review comments. Use when reviewing PR feedback, understanding code review comments, or preparing responses to reviewers.
Skills matching the name, description or GitHub author.
Read and analyze GitHub pull request review comments. Use when reviewing PR feedback, understanding code review comments, or preparing responses to reviewers.
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.
Perform a thorough code review with Staff Software Engineer rigor, grounded in ticket context and relevant documentation.
Professional development partner with taste, discipline, and craftsmanship. Use when: (1) Building new features or systems, (2) Fixing bugs and debugging, (3) Refactoring code, (4) Code review and quality asses...
Performs comprehensive code review with stack detection, deep logic tracing, and double-verification of bugs before reporting
Code review framework and criteria. References security-sentinel for security checks. Use when performing code reviews or defining review standards.
Request and process code reviews with proper context. Use after completing significant implementation work.
Comprehensive code review methodology. 4 layers (Correctness, Security, Performance, Style), severity classification, 80% confidence threshold.
Best practices for conducting effective code reviews that improve code quality, share knowledge, and maintain team standards.
Interactive code review for agent iterations. Captures comments, tracks resolution status, and integrates with git diffs.
Execute implementation plan by dispatching fresh subagent for each task, with code review between tasks
Performs systematic code review checking for correctness, maintainability, security, and best practices. Activates when user requests review, before creating PRs, or when significant code changes are ready. Ens...
Comprehensive code review guidance for quality, performance, and architecture across all programming languages. Use when (1) User explicitly requests code review, (2) After writing significant code changes, (3)...
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.
Code review specialist. Use when code needs review, before merging changes, or to assess code quality. Provides structured feedback with severity levels.
Automated code review workflow using OpenAI Codex CLI. This skill should be used when the user requests code to be reviewed using Codex CLI, or when implementing features that should be validated with automated...
Padrões e checklist para code review
Perform code review: detect risks, style issues, error handling gaps (report-only).
Building a positive code review culture that catches bugs, shares knowledge, maintains code quality, and builds team trust through effective review practices.
Receive and act on code review feedback with technical rigor, not performative agreement or blind implementation
Use for code quality and engineering standards. Covers code style conventions, conventional commit messages, documentation standards (ADRs, API docs, changelogs), and security patterns (input validation, secret...
Use for code quality and engineering standards. Covers code style conventions, conventional commit messages, documentation standards (ADRs, API docs, changelogs), and security patterns (input validation, secret...
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.