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Found 693 Skills
Enforces TDD (Red-Green-Refactor) for Rust development. Auto-triggers on implementation, testing, refactoring, and bug fixing tasks. Provides Rust-idiomatic testing patterns with anyhow/thiserror, cfg(test), and Arrange-Act-Assert workflow.
Guide complet des bonnes pratiques React et Next.js couvrant l'optimisation des performances, l'architecture des composants, les patrons shadcn/ui, les animations Motion et les patrons modernes React 19+. À utiliser lors de l'écriture, la revue ou le refactoring de code React/Next.js. Se déclenche sur les tâches impliquant des composants React, des pages Next.js, du data fetching, des composants UI, des animations ou de l'amélioration de la qualité du code.
Use when the user needs code quality review, refactoring guidance, SOLID principles application, or help identifying and fixing code smells. Triggers: code smell detection, refactoring planning, naming convention review, complexity reduction, DRY analysis, error handling improvement.
PHPUnit testing best practices and conventions guide. This skill should be used when writing, reviewing, or refactoring PHPUnit tests to ensure consistent, maintainable, and effective test suites. Triggers on tasks involving test creation, test refactoring, test configuration, code coverage, data providers, mocking, or PHPUnit XML configuration.
Build command-line interfaces for AI agents. Covers arguments, flags, subcommands, help text, output formats, error messages, exit codes, config/env precedence, and safe/dry-run behavior. Use when building a new CLI or refactoring an existing one for agent use.
Identify refactoring opportunities by surfacing architectural friction. Apply the deletion test, deep-modules vocabulary, and seams analysis. Each opportunity becomes its own evanflow-writing-plans cycle. Use when reviewing code for refactoring, when a file has grown too large, or when architecture concerns surface during feature work.
React and Next.js performance optimization guidelines from Vercel Engineering. This skill should be used when writing, reviewing, or refactoring React/Next.js code to ensure optimal performance patterns. Triggers on tasks involving React components, Next.js pages, data fetching, bundle optimization, or performance improvements.
Core JavaScript language conventions, idioms, and modern practices. Invoke whenever task involves any interaction with JavaScript code — writing, reviewing, refactoring, debugging, or understanding .js/.jsx files and JavaScript projects.
Builds and queries code knowledge graph for dependency analysis, references, implementations, and architecture overview. Use when starting work on unfamiliar codebase or before refactoring.
Airbnb-DLS-aligned design system engineering for Expo / React Native apps targeting both web and native iOS, built on Unistyles v3, Reanimated, Skia, and FlashList. Use whenever building, reviewing, or refactoring shared UI — design tokens, theming, variant-driven component APIs, typography, spacing, cross-platform web/iOS parity, native-feel performance, or complex surfaces like calendars and drawing canvases (examples use a clinic app). Covers token architecture, theming, component API contracts (variants over style props), web/iOS parity (Unistyles `_web` hover/focus/cursor, Platform splits, one shared theme), the Unistyles styling engine, and governance. Trigger even when the user does not say "design system" but is creating or changing reusable React Native components, tokens, theme code, or making a component behave natively on both web and iOS. Teaches how to BUILD the design system; pair with expo-react-native-coder for features and expo-ios-hig for iOS native-feel decisions.
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model performance.
Use when writing, fixing, editing, reviewing, or refactoring any Python code. Enforces Robert Martin's complete Clean Code catalog—naming, functions, comments, DRY, and boundary conditions.