writing-python-services
Writing a class with encapsulated logic that interfaces with an external system. Logging, APIs, etc.
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Writing a class with encapsulated logic that interfaces with an external system. Logging, APIs, etc.
Store universal coding patterns and insights into vector database. Use after completing difficult tasks with broadly-applicable lessons that work across ANY project. Use when user says "--coder-store" or "--lea...
Rails service object patterns and business logic organization. Automatically invoked when working with service objects, extracting business logic, implementing command/query patterns, or organizing app/services...
Comprehensive distributed tracing with Jaeger, Zipkin, OpenTelemetry, correlation IDs, and span design.
Orchestrate autonomous project development through state-driven execution
Model deployment strategies including serving infrastructure, containerization, model packaging, versioning, and production deployment patterns.
Event sourcing, CQRS, and message queue patterns with RabbitMQ and Kafka for distributed systems
Designs scalable, resilient architectures using the 7 Omega principles. Use when building systems that need to scale to millions of users or designing platform-level infrastructure.
AI application architecture - gateway, orchestration, model routing, observability, deployment patterns. Use when designing AI systems, scaling applications, or building production infrastructure.
Advanced security patterns including zero-trust architecture, secret management, CSP, and compliance frameworks
AI agent designs layered security architecture with multiple independent protective barriers ensuring no single point of failure. Use when building security systems, reviewing architecture, or hardening applica...
The agent implements chaos engineering practices for building resilient systems. Use when testing fault tolerance, designing game days, or validating system recovery.
WebSocket, Server-Sent Events, and real-time communication patterns for live features
Applies AI-first development patterns for 10-100x productivity through specification-driven generation and leverage multiplication. Use when developing features with AI assistance or optimizing development work...
Chaos engineering and fault injection patterns for testing system resilience, failure recovery, and graceful degradation
Enterprise API design with REST, GraphQL, gRPC patterns including versioning, pagination, and error handling
Enterprise Spring Boot development with JPA, security, testing, and microservices patterns
Production observability with structured logging, metrics collection, distributed tracing, and alerting
AI agent practices test-first development with the Red-Green-Refactor cycle for confident, well-designed code. Use when implementing features, fixing bugs, or establishing testing practices.
Consumer-driven contract testing with Pact, schema validation, provider verification, and CI/CD integration.
Service discovery patterns with Consul, Kubernetes DNS, Eureka, health checks, and client-side load balancing.
AI agent structures complex reasoning through numbered thought sequences with explicit dependencies. Use when facing multi-step problems, complex debugging, or architectural decisions.
Enterprise monorepo patterns with Turborepo and Nx including task orchestration, caching, and CI/CD optimization
Advanced service mesh implementation with Istio, Linkerd, traffic management, mTLS, and observability.
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。