code-review
Automated code review for pull requests using specialized review patterns. Analyzes code for quality, security, performance, and best practices. Use when reviewing code changes, PRs, or doing code audits.
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Automated code review for pull requests using specialized review patterns. Analyzes code for quality, security, performance, and best practices. Use when reviewing code changes, PRs, or doing code audits.
Token-efficient codebase exploration using RepoPrompt codemaps and slices. Use when you need deep codebase understanding without bloating context, finding all pieces of a feature across many files, or building...
Use the lumen CLI for git diffs, AI-generated commit messages, change explanations, and git command generation. Triggers on diff viewing, commit drafting, code review, explaining git changes, or generating git...
Guide for creating comprehensive PR descriptions with proper structure, diagrams, and documentation for code reviews.
Comprehensive code review using all available skills. Use before committing or when you want a thorough analysis of changes. Triggers on review code, check changes, full review, pre-commit review.
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...
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...
Code review a GitHub pull request
Creates pull requests with generated descriptions. Triggered when: PR creation, pull request, merge request, code review preparation.
Addresses PR review comments systematically. Use when fixing review feedback, responding to code review threads, or processing PR comments.
Reviews pull requests by comparing changes to previous versions, assessing code quality, effectiveness, and merge readiness. Use when reviewing pull requests, examining code changes before merge, or when the us...
Handle PR review comments using D0-D7 structured workflow. Use when processing code review feedback, responding to reviewer comments, or fixing issues found in PR review.
Orchestrates the Code Review process (Analysis -> Fix -> Reply/Close). Manages the workflow by invoking specialized sub-skills like code-review-analysis, tdd-refactoring, and tdd-audit. Used for (1) addressing...
Perform code reviews using GitHub Copilot CLI to identify bugs, security vulnerabilities, performance issues, and code quality problems. Use when the user asks to review code, check for issues, security audit,...
Setup and troubleshoot GitHub Actions workflows using anthropics/claude-code-action for automated PR reviews. Use when creating CI/CD workflows that leverage Claude for code review, research validation, or auto...
Local Code Review - analyzes code changes and provides structured feedback before commit
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...
Go development process and idiomatic code review. Use when writing Go code, reviewing Go PRs, implementing concurrency with goroutines/channels, debugging Go race conditions, or fixing Go error handling. Also u...
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...
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...
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...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.