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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

concurrency

cosmix

Comprehensive concurrency and parallelism patterns for multi-threaded and async programming. Use when implementing async/await, parallel processing, thread safety, worker pools, or debugging race conditions and...

GitHub

caching

cosmix

Comprehensive caching strategies and patterns for performance optimization. Use when implementing cache layers, cache invalidation, TTL policies, or distributed caching. Covers Redis/Memcached patterns, CDN cac...

GitHub

conch-generator

dermatologist

This skill helps you generate a new OpenMRS ESM microfrontend (DHTI conch) from this template. Use this skill when you need to create a new DHTI-enabled microfrontend that integrates with the OpenMRS 3.x ecosys...

GitHub

elixir-generator

dermatologist

This skill enables AI agents to generate new DHTI elixir projects from a cookiecutter template. Elixirs provide backend GenAI capabilities as HTTP endpoints hosted by LangServe. The skill guides the agent throu...

GitHub

pattern-matching

front-depiction

Master Effect pattern matching using Data.TaggedEnum, $match, $is, Match.typeTags, and Effect.match. Avoid manual _tag checks and Effect.either patterns. Use this skill when working with discriminated unions, A...

GitHub

error-handling

front-depiction

Implement typed error handling in Effect using Data.TaggedError, catchTag/catchTags, and recovery patterns. Use this skill when working with Effect error channels, handling expected failures, or designing error...

GitHub

parallel-explore

front-depiction

Parallel exploration of codebase questions by decomposing into independent tracks. Use when exploring architecture, understanding systems, or investigating complex questions that benefit from multiple perspecti...

GitHub

schema-composition

front-depiction

Master Effect Schema composition patterns including Schema.compose vs Schema.pipe, transformations, filters, and validation. Use this skill when working with complex schema compositions, multi-step transformati...

GitHub

context-witness

front-depiction

Decide between Context Tag witness and capability patterns for dependency injection, understanding coupling trade-offs

GitHub

effect-concurrency-testing

front-depiction

Test Effect concurrency primitives including PubSub, Deferred, Latch, Fiber coordination, SubscriptionRef, and Stream. Use this skill when testing concurrent effects, event-driven systems, or fiber coordination...

GitHub

domain-modeling

front-depiction

Create production-ready Effect domain models using Schema.TaggedStruct for ADTs, Schema.Data for automatic equality, with comprehensive predicates, orders, guards, and match functions. Use when modeling domain...

GitHub

the-vm-standard

front-depiction

The VM Standard - inviolable covenants governing View Model architecture in this codebase. These covenants SHALL NOT be violated under any circumstance.

GitHub

adr-methodology

basher83

This skill should be used when the user asks to "create an ADR", "document an architecture decision", "compare architectural options", "generate assessment criteria", "analyze trade-offs", or mentions Architect...

GitHub

azure-well-architected-framework

JosiahSiegel

Comprehensive Azure Well-Architected Framework knowledge covering the five pillars: Reliability, Security, Cost Optimization, Operational Excellence, and Performance Efficiency. Provides design principles, best...

GitHub

compose-patterns-2025

JosiahSiegel

Docker Compose production patterns 2025 including multi-environment strategies, health checks, and modern compose features

GitHub

microsoft-guide

JosiahSiegel

Complete Microsoft .NET Microservices Architecture guide (v7.0) - 350 pages of comprehensive reference material

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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