styling-with-tailwind
Claude styles UIs with Tailwind CSS utility classes, responsive design, and dark mode support. Use when creating component styles, theming systems, or responsive layouts.
Explorez les skills IA publiés de doanchienthangdev et consultez leurs instructions source.
Skills indexés
128Étoiles des dépôts des skills indexés
384Forks du dépôt
128Moyenne des étoiles par skill indexé
3Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Claude styles UIs with Tailwind CSS utility classes, responsive design, and dark mode support. Use when creating component styles, theming systems, or responsive layouts.
Feature engineering techniques including feature extraction, transformation, selection, and feature store management for ML systems.
Performs browser performance profiling with Lighthouse, Core Web Vitals, and DevTools analysis. Use when auditing page performance, optimizing Core Web Vitals, analyzing bundle sizes, or implementing performanc...
Retrieval-Augmented Generation - chunking strategies, embedding, vector search, hybrid retrieval, reranking, query transformation. Use when building RAG pipelines, knowledge bases, or context-augmented applicat...
AI agent practices test-first development with the Red-Green-Refactor cycle for confident, well-designed code. Use when implementing features, fixing bugs, or establishing testing practices.
Model development practices including model selection, training pipelines, hyperparameter tuning, evaluation, and model selection strategies.
Claude applies OWASP security best practices to web applications. Use when preventing vulnerabilities, implementing input validation, securing authentication, configuring security headers, or conducting securit...
Claude implements OAuth 2.0 and OpenID Connect authorization flows. Use when adding social login, integrating OAuth providers, managing tokens, or securing APIs with OAuth.
Cross-platform mobile development with React Native and Expo including navigation, state management, and native features
The agent implements feature flag systems for trunk-based development, canary releases, and A/B testing. Use when implementing gradual rollouts, kill switches, or experiment-driven development.
Consumer-driven contract testing with Pact, schema validation, provider verification, and CI/CD integration.
The agent implements a centralized workflow configuration system for Git workflows, enabling set-once-use-everywhere automation for trunk-based development, gitflow, and github-flow patterns with integrated tes...
Understanding Foundation Models - architecture, sampling parameters, structured outputs, post-training. Use when configuring LLM generation, selecting models, or understanding model behavior.
PostgreSQL database design, queries, optimization, and best practices
ML framework best practices for PyTorch, TensorFlow, scikit-learn, and modern ML libraries including training patterns and optimization.
Enterprise payment processing with Stripe, PayPal, and LemonSqueezy including subscriptions, webhooks, and PCI compliance
AI agent generates diverse solutions through structured divergent thinking and systematic exploration frameworks. Use when exploring options, solving problems creatively, or generating alternatives.
AI agent identifies and fixes common testing anti-patterns that lead to flaky, slow, or unmaintainable test suites. Use when reviewing tests, debugging test failures, or improving test quality.
Builds enterprise Django applications with DRF, ORM optimization, async views, and Celery tasks. Use when creating Python web apps, REST APIs, or full-stack Django projects.
Builds enterprise NestJS applications with TypeScript, dependency injection, TypeORM, and microservices patterns. Use when creating scalable Node.js backends, REST/GraphQL APIs, or microservices.
The agent implements Kubernetes container orchestration with deployments, services, Helm charts, and production patterns. Use when deploying containerized applications, configuring autoscaling, managing secrets...
Model optimization techniques including hyperparameter tuning, architecture search, training optimization, and performance profiling for ML systems.
AI agent completes development branches with comprehensive quality gates, clean git history, and thorough PR preparation. Use when wrapping up features, preparing for merge, or finalizing PRs.
Methods for evaluating AI model outputs - exact match, semantic similarity, LLM-as-judge, comparative evaluation, ELO ranking. Use when measuring AI quality, building eval pipelines, or comparing models.
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.