code-review-checklist
Structured code review approach covering security, quality, performance, and consistency.
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Structured code review approach covering security, quality, performance, and consistency.
John Ousterhout's "A Philosophy of Software Design" principles for evaluating code complexity. Reference material for code review and architecture analysis.
AI-powered coding assistant providing inline suggestions, chat interface, code review, and autonomous coding agent across IDEs and GitHub.com
Professional software QA and code review skill for ensuring code quality, comprehensive test coverage, standards compliance, and security through rigorous testing and validation workflows.
Crée une Pull Request en mode Continuous Delivery avec workflow complet : QA, labels version (major/minor/patch), feature flags, code review automatique.
Crée une Pull Request GitHub standard avec workflow complet : QA, commits, assignation milestone/projet, code review automatique.
Use when receiving code review feedback (especially if unclear or technically questionable), when completing tasks or major features requiring review before proceeding, or before making any completion/success c...
Use when reviewing local branch changes before merge, when you want code review feedback without a PR, or before committing significant changes
Fresheyes provides code review from a larger model. Use when the user asks for fresh eyes.
MANDATORY for code review - must use Codex CLI for all code reviews, then apply fixes based on Codex feedback. Also use for cross-verification, debugging, and getting alternative implementations.
Use when working with Alibaba Cloud DevOps (Yunxiao/云效), including Codeup code review (MR/PR), release tags, or Projex tasks.
Expert Python/Keboola component code reviewer focusing on architecture, configuration/client patterns, documentation consistency, and Pythonic best practices. Provides actionable feedback with clear location, p...
Review code changes (diffs, PRs, patches) and provide structured, actionable feedback on correctness, maintainability, and test coverage. Use when the user asks for a code review, requests feedback on a patch/P...
Receive and act on code review feedback with technical rigor, not performative agreement or blind implementation
The model must use this skill when : 1. working within any python project. 2. Python CLI applications with Typer and Rich are mentioned by the user. 2. tasked with Python script writing or editing. 3. building...
Execute implementation plan by dispatching fresh subagent for each task, with code review between tasks
Git workflow management with atomic commit principles. Capabilities: commit organization, branching strategies, merge/rebase workflows, PR management, history cleanup, staged change analysis, single-responsibil...
Focused context retrieval ("context crunching") for large codebases. Automatically activates during code review, refactoring, feature implementation, or debugging in multi-file projects.
Structured code review framework using Conventional Comments for clear, actionable feedback.
Use when executing implementation plans. Dispatches independent subagents for individual tasks with code review checkpoints between iterations for rapid, controlled development.
Expert code reviewer focusing on quality, maintainability, performance, and best practices
Python-specific code review guidelines covering common bugs, security issues, performance anti-patterns, and framework-specific concerns for Django, FastAPI, and Celery. Use when reviewing Python code changes f...
TypeScript and React-specific code review guidelines covering type safety, React anti-patterns, performance issues, accessibility concerns, and security vulnerabilities. Use when reviewing TypeScript/React code...
Use this skill when writing Go code following the Uber Go Style Guide. Provides comprehensive guidance on idiomatic Go patterns, error handling, concurrency safety, performance optimization, and test-driven dev...
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.