questioning-hardcoded-values
Hardcoded strings and numbers need justification - they're either conventions that need documentation, magic numbers that should be constants, or assumptions that need verification
Découvrez les skills tools code quality, comparez leurs dépôts et consultez leurs instructions.
Hardcoded strings and numbers need justification - they're either conventions that need documentation, magic numbers that should be constants, or assumptions that need verification
Review, analyze, and inspect code for Photo Map MVP project following Spring Boot, Angular 18, and shared project conventions. Check security, performance, naming, testing, and MVP scope compliance. Use when re...
Validate and grade Claude Code Skills, Commands, Subagents, and Hooks for quality and correctness. Check YAML syntax, verify naming conventions, validate required fields, test activation patterns, assess descri...
Comprehensive file-by-file audit for Next.js 16, React 19, and Clarity architecture compliance. Checks caching, auth patterns, type safety, Server Components, and generates auto-fixes.
Intelligence-first code analysis for bugs, architecture, performance, and security. Use proactively when investigating code issues, tracing dependencies, or understanding system behavior. MUST query project-int...
Integrate RubyCritic to analyze Ruby code quality and maintain high standards throughout development. Use when working on Ruby projects to check code smells, complexity, and duplication. Triggers include creati...
Use when analyzing existing projects or codebases - onboard project to store context in Serena MCP, then use context-aware analysis that mentions existing code, modules, and patterns for better recommendations
Analyzes your codebase to discover and document coding standards, patterns, and conventions. Creates coding-standards.md with file naming, TypeScript patterns, testing standards, and architectural patterns actu...
Analyzes your codebase to discover and document coding standards, patterns, and conventions. Creates coding-standards.md with file naming, TypeScript patterns, testing standards, and architectural patterns actu...
Comprehensive file-by-file audit for Next.js 16, React 19, and Clarity architecture compliance. Checks caching, auth patterns, type safety, Server Components, and generates auto-fixes with exact code.
Safely improve code quality through test-driven refactoring with automatic validation and rollback. Use during quality review to reduce technical debt while preserving behavior.
Comprehensive validation for Project Conductor using deep research for best practices. Use when user mentions "validate", "check quality", "review code", "test coverage", or before deployment.
Automatically applies when reviewing code. Ensures structured review checklist covering correctness, security, performance, maintainability, testing, and documentation.
Automatically applies when drafting or revising documentation to enforce repository voice, clarity, and navigation patterns.
Automatically applies when working with git. Ensures conventional commits, branch naming, PR templates, release workflow, and version control best practices.
Use when user mentions reviewing PRs, provides GitHub PR URLs/numbers, or discusses code review. Provides structured analysis of code quality, backward compatibility, security issues, test coverage, and unaddre...
Proactive skill for validating dbt models against coding conventions. Auto-activates when creating, reviewing, or refactoring dbt models in staging, integration, or warehouse layers. Validates naming, SQL struc...
Linter-driven refactoring patterns to reduce complexity and improve code quality. Use when linter fails with complexity issues (cyclomatic, cognitive, maintainability) or when code feels hard to read/maintain....
Analyzes files for optimal complexity using sophistication theory - refactors code that is too simple (low entropy) or too chaotic (high entropy, low sophistication) to achieve ideal "complextropy" where code h...
Run systematic code audits using the Subtractive Triad framework (DRY → Rams → Heidegger). Use when auditing codebases for bloat, reviewing PRs for quality, finding dead code, or evaluating if code "earns its e...
Ensure code quality or perform code reviews through comprehensive checklists and standards enforcement.
Submit code review requests to multiple AI providers (GitHub Copilot, Anthropic Claude, OpenAI Codex, Google Gemini) and get patches back. Use when user says "code review", "review this code", "get a patch for"...
Write Python code that's tested and type-safe. Use when coding Python or implementing features.
.NET static analysis and code quality tools. Use when configuring analyzers, fixing warnings, or enforcing code standards.
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.