Results for “patterns”

Defines the design tokens, component catalog, and layout patterns for the OpenFoodJournal SwiftUI app, ensuring new views stay visually consistent.

Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.

Modern authentication and security patterns for web applications. Expert in JWT tokens, OAuth2 flows, session management, RBAC, MFA, API security, and zero-trust architectures. Framework-agnostic patterns that work with any tech stack.

Practical patterns for using fp-ts with React - hooks, state, forms, data fetching. Use when building React apps with functional programming patterns. Works with React 18/19, Next.js 14/15.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

Bidirectional conversion between Roc and Scala. Use when migrating projects between these languages in either direction. Extends meta-convert-dev with Roc↔Scala specific patterns. Use when migrating Roc projects to JVM/Scala, translating pure functional patterns to object-functional hybrid, or refactoring Roc codebases. Extends meta-convert-dev with Roc-to-Scala specific patterns.

Idiomatic C# and .NET patterns, conventions, dependency injection, async/await, and best practices for building maintainable .NET applications.

Provides production-grade Laravel architecture patterns for building scalable, maintainable applications with controllers, services, Eloquent ORM, queues, events, caching, and API resources.

Provides deployment strategies, CI/CD pipeline patterns, Docker containerization best practices, health checks, and production readiness guidance for web applications.

Provides before/after patterns for migrating test files to React 19 compatibility, including act() imports, Simulate removal, and StrictMode call count changes.

Hunt for Mimikatz execution using command-line patterns, LSASS access signatures, binary indicators, and in-memory detection of known modules.

Documents HP's design language with color tokens, typography hierarchy, and layout patterns for building enterprise-consumer interfaces.

Analyzes Stripe's design language, documenting its color system, typography, layout, and component patterns for use in design projects.

Implements async/await and Promise patterns in Lightning Web Components, covering imperative Apex calls, loading states, error handling, parallel calls, and cancellation with AbortController.

Provides detailed guidance on Hermes Kanban worker lifecycle, including workspace handling, handoff patterns, retry diagnostics, and edge cases for dispatched workers.

Provides JPA/Hibernate patterns for Spring Boot data modeling, including entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and connection pooling.

KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph).

React 18/19 patterns including hooks discipline, server/client component boundaries, Suspense + error boundaries, form actions, data fetching, state management decision trees, and accessibility-first composition. Use when writing or reviewing React components.

PowerShell Windows patterns. Critical pitfalls, operator syntax, error handling.

Core VB.NET patterns, type safety, modern language features

Backend development with Node.js, Express, NestJS, and server patterns

Pythonic 惯用法、PEP 8 标准、类型提示以及构建稳健、高效且可维护的 Python 应用程序的最佳实践。

Expert in TailwindCSS utility-first styling with responsive design patterns

Expert in Java development with Spring Boot and enterprise patterns

Expert patterns for Segment Customer Data Platform including

Pre-built cron job templates for common automation patterns.

AWS development with infrastructure automation and cloud architecture patterns

Analyze closed deals and lost opportunities for patterns

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when "keywords, file_patterns, code_patterns, " mentioned.

Provides production patterns and non-obvious traps for Prisma ORM in TypeScript backends, covering schema design, query optimization, transactions, pagination, and common pitfalls.

Provides Spring Boot architecture patterns for building scalable REST APIs, including layered services, data access, caching, async processing, and logging.

Scans C#/.NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification.

Provides 42 technology-agnostic cloud design patterns for distributed systems, covering reliability, performance, messaging, security, and deployment to help architects design robust workloads.

Generate production-ready Python code for Dataverse SDK with advanced patterns including error handling, batch operations, OData optimization, and Pandas integration.