patterns▌
190 indexed skills · max 10 per page
mapbox-search-patterns
mapbox/mapbox-agent-skills · Productivity
Expert guidance for AI assistants on using Mapbox search tools effectively. Covers tool selection, parameter optimization, and best practices for geocoding, POI search, and location discovery.
mapbox-data-visualization-patterns
mapbox/mapbox-agent-skills · Productivity
Comprehensive patterns for visualizing data on Mapbox maps. Covers choropleth maps, heat maps, 3D extrusions, data-driven styling, animated visualizations, and performance optimization for data-heavy applications.
refactoring-patterns
wondelai/skills · Productivity
A disciplined approach to improving the internal structure of existing code without changing its observable behavior. Apply these named transformations when reviewing code, reducing technical debt, or preparing code for new features. Every refactoring follows the same loop: verify tests pass, apply one small structural change, verify tests still pass.
backend-patterns
sickn33/antigravity-awesome-skills · Backend
Scalable backend architecture patterns for Node.js, Express, and Next.js applications. \n \n Covers RESTful API design, repository pattern for data abstraction, service layer separation, and middleware pipelines for request processing \n Includes database optimization techniques: query selection, N+1 prevention, transactions, and Redis caching strategies \n Provides authentication and authorization patterns: JWT validation, role-based access control, and rate limiting implementations \n Features
tailwind-patterns
davila7/claude-code-templates · Frontend
Modern utility-first CSS with CSS-native configuration and container queries. \n \n CSS-first configuration using @theme directives instead of JavaScript, powered by the Oxide engine for 10x faster compilation \n Native container queries ( @container , @sm: , @md: ) for component-level responsive design independent of viewport \n Comprehensive design token architecture using CSS variables for colors, spacing, typography, and semantic naming \n Mobile-first responsive breakpoints ( sm: , md: , lg
ui-design-patterns
manutej/luxor-claude-marketplace · Frontend
$22
zapier-make-patterns
sickn33/antigravity-awesome-skills · Backend
Expert guidance for designing Zapier and Make automations that scale without complexity. \n \n Distinguishes when workflows belong in Zapier (simple, fast, maximum integrations) versus Make (complex branching, data transformation, budget optimization) \n Covers three core patterns: basic trigger-action, multi-step sequential chains, and conditional branching with different actions based on conditions \n Identifies critical anti-patterns including typing in dropdown fields, missing error handling
frontend-patterns
davila7/claude-code-templates · Frontend
React and Next.js patterns for component composition, state management, performance, and accessibility. \n \n Covers component patterns including composition, compound components, and render props for flexible, reusable UI architecture \n Includes custom hooks for state management, async data fetching, debouncing, and context-based state with reducers \n Performance optimization techniques: memoization, code splitting with lazy loading, and list virtualization for large datasets \n Form handling
spring-boot-event-driven-patterns
giuseppe-trisciuoglio/developer-kit · Productivity
Event-Driven Architecture patterns for Spring Boot using domain events, transactional listeners, and Kafka messaging. \n \n Covers domain event design, ApplicationEventPublisher integration, and @TransactionalEventListener configuration for local event handling with AFTER_COMMIT phase guarantees \n Supports distributed messaging via Kafka and Spring Cloud Stream for inter-service communication with functional consumer beans \n Implements the transactional outbox pattern for reliable event publis
langchain4j-rag-implementation-patterns
giuseppe-trisciuoglio/developer-kit · AI/ML
Complete Retrieval-Augmented Generation systems with LangChain4j for knowledge-enhanced AI applications. \n \n Document ingestion pipelines with configurable chunking, metadata management, and embedding generation using OpenAI or custom embedding models \n Vector search and content retrieval with filtering, re-ranking, and configurable similarity thresholds for precise context matching \n RAG-enabled AI services that automatically inject retrieved context into chat models, with support for multi