GitHub
code-review-standards
Best practices for conducting effective code reviews that improve code quality, share knowledge, and maintain team standards.
Skills IA content media code quality
Découvrez les skills content media code quality, comparez leurs dépôts et consultez leurs instructions.
Catégories: content media code quality
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Explorer
GitHub
setting-up-projects
Automates project setup with best practices including pre-commit hooks, linting, formatting, and boilerplate. Activates when creating new projects, missing configuration files, or setting up development environ...
GitHub
ai-ready
Analyzes repositories for AI agent development efficiency. Scores 8 aspects (documentation, architecture, testing, type safety, agent instructions, file structure, context optimization, security) with ASCII das...
GitHub
lint-format-and-type-check
Automated code quality enforcement through linting, formatting, and type checking to maintain consistent, error-free codebases.
GitHub
commit-conventions
Standardized commit message formats and conventions for clear, searchable, and automated-friendly version control history.
GitHub
default-workflow
Development workflow for features, bugs, refactoring. Auto-activates for multi-file implementations.
GitHub
agent-ops-api-review
Platform/Language agnostic API delivery and correctness auditor. Use when project contains API endpoints to verify contract alignment, endpoint behavior, and test coverage.
GitHub
reviewing-code
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...
GitHub
argus
The all-seeing code analyzer. Help AI grok your codebase.
GitHub
validate
Run lint, typecheck, and tests. Fix all issues automatically. 린트, 타입체크, 테스트 실행. 문제 자동 수정.
GitHub
language-environment-configuration
This skill should be used when detecting programming languages in projects, determining language versions from config files, installing development environments (Rust, Python, Node.js), setting up LSP servers,...
GitHub
yanhu-pr-review
Review changes like a strict backend TL: correctness, edge cases, performance, naming, tests, and operational safety.
GitHub
docs-sync
Analyze code and documentation, find gaps, update docs. 문서 업데이트, 코드 문서 동기화, 문서 검토.
GitHub
code-review
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)...
GitHub
lint
Run code linting and static analysis. Use to check code quality, find issues, or auto-fix style problems.
GitHub
agent-ops-critical-review
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.
GitHub
useful-commits
This skill should be used when the user asks to "review this commit message", "validate my commit", "improve this commit message", "explain conventional commits", "teach me commit message best practices", "writ...
GitHub
reviewer
Code review specialist. Use when code needs review, before merging changes, or to assess code quality. Provides structured feedback with severity levels.
GitHub
code-review
Reviews code changes for bugs, style issues, and best practices. Use when reviewing PRs or checking code quality.
GitHub
explorer
Fast codebase navigator - finds files and code patterns quickly
GitHub
codex-review-workflow
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...
GitHub
lint
Lint source code for style violations and potential issues. Use when checking code quality, before commits, or when fixing linting errors.
GitHub
emojis-rules
Regras sobre uso de emojis em código e documentação
GitHub
code-analysis
Analyze code quality, identify technical debt, and suggest improvements
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.