backend-patterns
Production-grade backend patterns for Node.js, Python, Go, and Java/Spring frameworks
发现 testing security architecture patterns 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Production-grade backend patterns for Node.js, Python, Go, and Java/Spring frameworks
REST, GraphQL, and hybrid API architecture patterns for building scalable and maintainable APIs
API versioning strategies and backward compatibility
RESTful API design principles and best practices
Infrastructure, deployment, and operations patterns for Docker, Kubernetes, and CI/CD
Build multi-agent systems - orchestration, coordination, workflows, and distributed architectures
Guide for creating multi-phase skills with orchestrated sequential execution. Use when user wants to create a skill that runs multiple steps in sequence (like gap-finder), needs a start-* orchestrator pattern,...
Validate Clean Architecture implementation in iOS. Checks layer separation (Presentation/Domain/Data), MVVM patterns, dependency injection with Swinject, and UseCase/Repository patterns. Use when reviewing arch...
Clean Architecture and Cosmic Python guidance for well-tested, layered Python systems. Use for designing Python projects with layered architecture (models, adapters, services, entrypoints), enforcing Clean Code...
Apply Charlie Munger's latticework of mental models to any problem. Use when user requests decision analysis, says "help me think", "apply mental model", mentions model names (inversion, bottlenecks, second-ord...
Go concurrency patterns including goroutines, channels, context propagation, and sync primitives. Use when working with goroutines, channels, context.Context, or any concurrent Go code.
Go error handling patterns including wrapping, custom error types, errors.Is/As, and error conventions. Use when handling, creating, or checking errors in Go.
Complete HUMMBL Base120 mental models framework with all 120 models across 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems). Includes model selection guidance, evi...
Principes de code KISS, YAGNI, SRP, DRY pour un code propre et maintenable. AUTO-ACTIVATE when user mentions (FR/EN): - kiss, yagni, srp, dry, solid, principe, principle - clean code, code propre, refactor, ref...
Enable AI-assisted development (vibe modeling) within Domino using MCP (Model Context Protocol) servers. AI coding assistants like Cursor and GitHub Copilot can execute commands as Domino jobs, maintaining secu...
Orchestrate multi-step ML workflows using Domino Flows (built on Flyte). Define DAGs with typed inputs/outputs, heterogeneous environments, automatic lineage, and reproducibility. Use when building data pipelin...
Guides Android development with MVI state management, repository pattern, and clean architecture. Activates when implementing Android features, ViewModels, repositories, or data layers.
Context tracking and plan enforcement system. Use when working on long coding sessions with plans.
Converts app ideas into shippable MVPs by providing structured product planning, technical guidance, and decision-making support focused on rapid validation. Use when the user shares an app idea, needs help sco...
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Use this skill when creating, updating, or maintaining ARCHITECTURE.md files, when users ask about "my architecture documentation" or "architecture", when generating presentations/slides/PowerPoint from archite...
Use when invalid data causes failures deep in execution, requiring validation at multiple system layers - validates at every layer data passes through using Shannon validation gates to make bugs structurally im...
Use for 3+ independent failures - dispatches parallel subagents with Shannon wave coordination, success scoring (0.00-1.00) per domain, and MCP result aggregation
Coordinates Serena MCP knowledge graph operations for Shannon Framework. Enforces standardized entity naming (shannon/* namespace), relation creation patterns, search protocols, and observation management. Prev...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。