Results for “patterns”

Analyzes Zeek conn.log connection intervals using statistical methods to detect C2 beaconing patterns, flagging periodic connections with low jitter.

Reviews closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns.

Analyzes and documents Resend's brand design system, including color palette, typography, spacing, and component patterns for dark-themed developer tools.

Generates custom Semgrep rules from natural language descriptions of vulnerability patterns, verifying syntax with semgrep --validate and testing against sample fixtures with semgrep --test.

Provides production-grade NestJS architecture patterns covering modules, controllers, providers, DTO validation, guards, interceptors, exception filters, configuration, and testing for TypeScript backends.

Production patterns and non-obvious traps for Prisma ORM in TypeScript backends, covering schema design, query optimization, transactions, pagination, and serverless connection handling.

Provides production-oriented patterns for building FastAPI services, covering async endpoints, dependency injection, Pydantic schemas, OpenAPI customization, testing, and security best practices.

Vite build tool patterns including config, plugins, HMR, env variables, proxy setup, SSR, library mode, dependency pre-bundling, and build optimization. Activate when working with vite.config.ts, Vite plugins, or Vite-based projects.

Convert Java code to idiomatic C++. Use when migrating Java projects to C++, translating Java patterns to idiomatic C++, or refactoring Java codebases. Extends meta-convert-dev with Java-to-C++ specific patterns.

Convert Java code to idiomatic Rust. Use when migrating Java projects to Rust, translating Java patterns to idiomatic Rust, or refactoring Java codebases. Extends meta-convert-dev with Java-to-Rust specific patterns.

Convert Go code to idiomatic Rust. Use when migrating Go projects to Rust, translating Go patterns to idiomatic Rust, or refactoring Go codebases. Extends meta-convert-dev with Go-to-Rust specific patterns.

Fundamental patterns for effective agentic behavior. Teaches decomposition, tool orchestration, error recovery, context management, quality self-assessment, and knowing when to stop. Model-agnostic principles that make any agent more effective regardless of domain. Activate on: "how should I structure this agent", "agentic workflow", "agent patterns", "multi-step task", "tool orchestration", "/agentic-patterns", "decompose this", "agent best practices", "chain of actions", "when should the agent stop", "agent loop design". NOT for: creating agent infrastructure (use agent-creator), building DAGs (use windags-architect), specific tool implementation.

Application architecture patterns and code organization — clean architecture, hexagonal architecture, feature-based structure, dependency inversion, module boundaries, SOLID principles at module scale. Activate on "clean architecture", "hexagonal architecture", "feature-based structure", "dependency inversion", "module boundaries", "architecture pattern", "folder structure", "fat controller", "circular dependency", "IoC container". NOT for microservice decomposition (use microservices-patterns) or database schema design (use database-design-patterns).

Provides idiomatic React 18/19 patterns for hooks, server/client components, Suspense, error boundaries, forms, data fetching, state management, and accessibility-first composition.

Provides production-grade Django architecture patterns including project structure, model design, REST API design with DRF, ORM best practices, caching, signals, and middleware.

Provides production-ready Dart and Flutter code patterns for null safety, immutable state, async composition, widget architecture, state management, navigation, networking, and testing.

Guides the design and structuring of workflow-based Claude Code skills with multi-step phases, decision trees, subagent delegation, and progressive disclosure.

Analyzes meeting transcripts to uncover behavioral patterns, communication insights, and actionable feedback for improving communication and leadership skills.

Provides patterns and strategies for migrating imperative TypeScript code to fp-ts functional programming patterns, covering error handling, null checks, callbacks, dependency injection, and loops.

Provides creative direction for HyperFrames videos, handling design specs, palettes, typography, narration, beat planning, audio-reactive visuals, composition patterns, and brand/style decisions.

Analyzes and documents the Cal.com design system, including color tokens, typography hierarchy, spacing, and component patterns for use in design implementations.

Documents Nike's commerce design system: photography-first layouts, typographic hierarchy, color palette, and component patterns across PLP, PDP, and editorial pages.

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

Provides F# testing patterns using xUnit, FsUnit, Unquote, FsCheck, and integration testing with Testcontainers and WebApplicationFactory, including test organization and anti-patterns.

Provides production-grade Django architecture patterns covering project structure, split settings, ORM best practices, REST API design with DRF, caching, signals, and middleware.

.NET backend conventions, patterns, and test infrastructure. Use when working with C# files, .csproj projects, ASP.NET APIs, xUnit tests, FluentAssertions, Entity Framework, WebApplicationFactory, dotnet CLI, NuGet packages, .NET dependency injection, middleware, or controller patterns.

Server-Sent Events implementation, streaming patterns, and real-time updates.

Deploy, monitor, and manage GCP services with battle-tested patterns.

Investigate retention patterns, cohorts, drivers, warning signs, and intervention options.

现代 Perl 5.36+ 的惯用法、最佳实践和约定，用于构建稳健、可维护的 Perl 应用程序。

MySQL 与 MariaDB 的 Schema、查询、索引、事务、复制及连接池模式——面向数据库管理员与后端开发者

Design user flows and navigation structure following proven UX patterns

AWS development with infrastructure automation and cloud architecture patterns

Design user flows and navigation structure following proven UX patterns

Design user flows and navigation structure following proven UX patterns

Provides production-grade FastAPI development patterns including project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.