optimize-codebase
Proactive maintenance to reduce complexity and remove dead code.
发现 devops 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。
Proactive maintenance to reduce complexity and remove dead code.
Testing strategies based on Clean Architecture layers. Trigger: Invoke when writing tests to enforce layer-specific mocking strategies (Unit vs Integration)
Universal coding standards, best practices, and patterns for Python development.
TypeScript strict patterns and best practices. Trigger: When writing TypeScript code - types, interfaces, generics.
Canonical deterministic concurrency patterns in X07 (defasync + task.* + chan.bytes.*), including the determinism constraints.
Autonomous recursive loop of Planning, Implementation, Review, and Verification. Use for end-to-end task execution with minimal user intervention.
Design WebSocket/SSE/long polling with ordering and delivery guarantees.
Containerization, orchestration, and deployment with Docker and K8s
Domain-Driven Design (DDD) patterns for Angular applications with clean architecture layers. Use when designing aggregates, entities, value objects, domain events, repositories, or implementing bounded contexts...
Multi-level caching, Invalidation patterns, and Stampede protection.
Tracks, classifies, and prioritizes technical debt (code, spec, and process) over time. Use to prevent silent rot.
Transactional Outbox + idempotency guardrails for practical exactly-once behavior. Use when you see double-publish, inconsistent state, or need reliable integration events.
RabbitMQ queue patterns with acknowledgements, retries, dead-lettering, and ordering constraints. Use when building job queues, async workers, or diagnosing requeue/poison issues.
Standardize API communication, error handling, and authentication. Use when building new API services or debugging network issues.
Provides architectural guidance and design patterns for implementing new features in the Nick Stack codebase. Use when planning implementations, designing new features, or making architectural decisions.
Compile-time dependency injection from Google.
Comprehensive Apache Kafka skill for building event-driven architectures from hello world to professionstal production systems. Provides guidance on Kafka setup, topic management, producer/consumer implementati...
Guidelines for designing, implementing, and maintaining high-quality data models, ensuring data integrity, performance, and scalability.
Playwright E2E testing patterns and best practices. Trigger: When writing or running E2E tests.
Structure layers with dependency inversion, ports, and adapters.
Unit and E2E testing strategies with Docker.
Use this skill when the user asks to implement/build/create a feature, or asks about development process, git workflow, or planning. Triggers on: "implement feature", "build feature", "add feature", "create fea...
EJ's structured deployment debugging workflow for when code changes are not reflected after deployment. Use when users report deployment failures, changes not appearing in production, build errors, CI/CD pipeli...
Expert system for Root Cause Analysis (RCA) and deep debugging. Leverages systematic log analysis (including Rollbar), dependency mapping, and sequential reasoning to isolate and resolve complex UI/UX and backe...
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。