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testing security architecture patterns AI Skills

Discover testing security architecture patterns skills, compare source repositories and read the instructions for each workflow.

Categories: testing security architecture patterns

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GitHub

architecting-omega-systems

doanchienthangdev

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.

GitHub

ai-architecture

doanchienthangdev

AI application architecture - gateway, orchestration, model routing, observability, deployment patterns. Use when designing AI systems, scaling applications, or building production infrastructure.

GitHub

security-hardening

doanchienthangdev

Advanced security patterns including zero-trust architecture, secret management, CSP, and compliance frameworks

GitHub

implementing-defense-in-depth

doanchienthangdev

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...

GitHub

coding-with-omega-leverage

doanchienthangdev

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...

GitHub

testingchaos-testing

doanchienthangdev

Chaos engineering and fault injection patterns for testing system resilience, failure recovery, and graceful degradation

GitHub

api-architecture

doanchienthangdev

Enterprise API design with REST, GraphQL, gRPC patterns including versioning, pagination, and error handling

GitHub

spring

doanchienthangdev

Enterprise Spring Boot development with JPA, security, testing, and microservices patterns

GitHub

observability

doanchienthangdev

Production observability with structured logging, metrics collection, distributed tracing, and alerting

GitHub

developing-test-driven

doanchienthangdev

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.

GitHub

contract-testing

doanchienthangdev

Consumer-driven contract testing with Pact, schema validation, provider verification, and CI/CD integration.

GitHub

service-discovery

doanchienthangdev

Service discovery patterns with Consul, Kubernetes DNS, Eureka, health checks, and client-side load balancing.

GitHub

thinking-sequentially

doanchienthangdev

AI agent structures complex reasoning through numbered thought sequences with explicit dependencies. Use when facing multi-step problems, complex debugging, or architectural decisions.

GitHub

monorepo-management

doanchienthangdev

Enterprise monorepo patterns with Turborepo and Nx including task orchestration, caching, and CI/CD optimization

GitHub

service-mesh

doanchienthangdev

Advanced service mesh implementation with Istio, Linkerd, traffic management, mTLS, and observability.

GitHub

caching-strategies

doanchienthangdev

Multi-layer caching with Redis, CDN, and browser caching for optimal application performance

GitHub

python

doanchienthangdev

Python development with type hints, async patterns, testing, and modern best practices

GitHub

common-workflows

marcusshepp

Common patterns and workflows for Azure DevOps and database queries. Use to avoid inefficient searches and tangents.

GitHub

bcm-specialist

moag1000

Expert for Business Continuity Management (BCM) with deep knowledge of ISO 22301, ISO 22313, and integration with ISO 27001. Automatically activated when user asks about business continuity, disaster recovery,...

GitHub

custom-plugin-flutter-skill-state

pluginagentmarketplace

2300+ lines of state management mastery - all patterns (Provider, Riverpod, BLoC, GetX), dependency injection, persistence, testing with production-ready code examples.

GitHub

hashing-techniques

pluginagentmarketplace

Hash-based data structures and techniques including frequency counting, duplicate detection, and LRU cache implementation.

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

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