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Résultats pour « code review »

Skills correspondant au nom, à la description ou à l’auteur GitHub.

Catégories: Contenu et médias

913–936 sur 1,497

Contenu et médias code review Effacer les filtres

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GitHub

code-review

retsohuang

Review commits from a starting commit hash to HEAD. Use when user says "review commits from ", "code review starting from ", "review changes since ", or provides a commit hash for review. Detects AI slop, compo...

GitHub

vue3-frontend

Eva813

Comprehensive Vue 3 frontend development skill. Use when developing Vue 3 applications, components, or composables. Covers: (1) Creating new Vue 3 projects and components, (2) Vue 2 to Vue 3 migration, (3) Code...

GitHub

tdd-execution

tommymorgan

This skill should be used when executing plan tasks autonomously, implementing features using TDD, running the red-green-refactor cycle, handling code review loops, or dealing with blocked tasks. Provides the a...

GitHub

dhh-ruby-style

nbbaier

This skill should be used when writing Ruby and Rails code in DHH's distinctive 37signals style. It applies when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers o...

GitHub

workflows-review

nbbaier

This skill should be used when performing exhaustive code reviews using multi-agent analysis, ultra-thinking, and Git worktrees for deep local inspection. It applies to PR reviews, branch comparisons, and compr...

GitHub

receiving-code-review

zebbern

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...

GitHub

subagent-driven-development

krzemienski

Use for implementation plans - dispatches fresh subagent per task with quality scoring (0.00-1.00), code review gates, Serena pattern learning, and MCP tracking

GitHub

codex-collaboration

hewenyu

Codex CLI integration for code review and consultation. Use when: (1) code needs review before commit, (2) need expert consultation on implementation approach, (3) debugging assistance needed. This skill provid...

GitHub

code-review

yoichiojima-2

Review code for quality, bugs, security issues, and best practices. Use this skill when the user asks for code review, code analysis, or wants feedback on their code.

GitHub

orm-reviewer

physics91

WHEN: ORM code review, Prisma/TypeORM/SQLAlchemy/GORM patterns, lazy loading, transactions WHAT: Query efficiency + Lazy/eager loading + Transaction handling + N+1 prevention + Model design WHEN NOT: Raw SQL →...

GitHub

python-reviewer

physics91

WHEN: General Python code review, PEP8 compliance, type hints, Pythonic patterns WHAT: PEP8/style check + Type hint validation + Pythonic idioms + Error handling + Documentation WHEN NOT: FastAPI → fastapi-revi...

GitHub

python-data-reviewer

physics91

WHEN: Pandas/NumPy code review, data processing, vectorization, memory optimization WHAT: Vectorization patterns + Memory efficiency + Data validation + Performance optimization + Best practices WHEN NOT: Web f...

GitHub

ml-reviewer

physics91

WHEN: Machine Learning/Deep Learning code review, PyTorch/TensorFlow patterns, Model training optimization, MLOps checks WHAT: Model architecture review + Training patterns + Data pipeline checks + GPU optimiza...

GitHub

ios-reviewer

physics91

WHEN: iOS Swift/SwiftUI code review, UIKit patterns, Combine/async-await checks, MVVM structure analysis WHAT: SwiftUI best practices + Combine patterns + Memory management + Performance optimization + Architec...

GitHub

kotlin-android-reviewer

physics91

WHEN: Android Kotlin code review, Jetpack Compose patterns, Coroutines/Flow checks, ViewModel structure analysis WHAT: Compose best practices + Coroutines patterns + State management + Memory leak detection + P...

GitHub

ai-code-reviewer

physics91

WHEN: Deep AI-powered code analysis, multi-model code review, security scanning with Codex and Gemini WHAT: Comprehensive code review using external AI models with severity-based findings, deduplication, and se...

GitHub

flutter-reviewer

physics91

WHEN: Flutter/Dart code review, Widget patterns, State management checks, BLoC/Provider/Riverpod analysis WHAT: Widget best practices + State management patterns + Performance optimization + Platform channel re...

GitHub

code-reviewer

physics91

WHEN: Code review, quality check, code smell detection, refactoring suggestions WHAT: Complexity analysis + code smell list + severity-based issues + improvement suggestions WHEN NOT: Next.js specific → nextjs-...

GitHub

java-reviewer

physics91

WHEN: Java code review, Java idioms, exception handling, collections, streams, Java 17+ features WHAT: Exception patterns + resource management + null safety + stream usage + modern Java features WHEN NOT: Spri...

GitHub

typescript-reviewer

physics91

WHEN: TypeScript code review, type safety audit, tsconfig analysis, TS migration review WHAT: Type safety checks + any usage audit + generic patterns + strict mode + compiler options analysis WHEN NOT: React sp...

GitHub

spring-boot-reviewer

physics91

WHEN: Spring Boot code review, DI patterns, @Transactional, REST API design, security configuration WHAT: Dependency injection + Transaction management + API design + Security config + JPA patterns WHEN NOT: Ko...

GitHub

terraform-reviewer

physics91

WHEN: Terraform code review, module structure, state management, security policies WHAT: Module organization + State backend + Security policies + Variable validation + Best practices WHEN NOT: Kubernetes → k8s...

GitHub

code-review

jarosser06

Expert in conducting thorough code reviews for Python projects using GitHub MCP, covering test coverage, security practices, PEP 8 compliance, and code organization. Use when reviewing code or PRs.

GitHub

subagent-driven-development

Crumbgrabber

Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates

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.

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