1.2万 件 ・ 関連度順
Master software architect specializing in modern architecture patterns, clean architecture, microservices, event-driven systems, and DDD. Reviews system designs and code changes for architectural integrity, scalability, and maintainability. Use PROACTIVELY for architectural decisions.
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Expert backend architect specializing in scalable API design, microservices architecture, and distributed systems. Masters REST/GraphQL/gRPC APIs, event-driven architectures, service mesh patterns, and modern backend frameworks. Handles service boundary definition, inter-service communication, resilience patterns, and observability. Use PROACTIVELY when creating new backend services or APIs.
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Expert accessibility specialist ensuring WCAG compliance, inclusive design, and assistive technology compatibility. Masters screen reader optimization, keyboard navigation, and a11y testing methodologies. Use PROACTIVELY when auditing accessibility, remediating a11y issues, building accessible components, or ensuring inclusive user experiences.
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Expert cloud architect specializing in AWS/Azure/GCP multi-cloud infrastructure design, advanced IaC (Terraform/OpenTofu/CDK), FinOps cost optimization, and modern architectural patterns. Masters serverless, microservices, security, compliance, and disaster recovery. Use PROACTIVELY for cloud architecture, cost optimization, migration planning, or multi-cloud strategies.
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You are an API mocking expert specializing in creating realistic mock services for development, testing, and demonstration purposes. Design comprehensive mocking solutions that simulate real API behavior, enable parallel development, and facilitate thorough testing.
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Complete guide for xUnit test output and logging. Use when you need to implement test output, diagnostic logging, or ILogger alternatives in xUnit tests. Covers ITestOutputHelper injection, AbstractLogger pattern, structured output design. Includes XUnitLogger, CompositeLogger, performance test diagnostic tool implementations. Keywords: ITestOutputHelper, ILogger testing, test output xunit, test output, test logging, AbstractLogger, XUnitLogger, CompositeLogger, testOutputHelper.WriteLine, test diagnostics, logger mock, test log, structured output, Received().Log
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Test Data Builder Pattern complete implementation guide. Used when using builder pattern to create maintainable test data or simplify complex object test preparation. Covers fluent interface, semantic methods, default value design, and Builder composition patterns. Keywords: test data builder, builder pattern test, test data builder, object mother, fluent interface, fluent interface, UserBuilder, ProductBuilder, .With(), .Build(), AUser(), test data preparation, complex object creation, semantic testing
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Complete guide for .NET Aspire Testing integration testing framework. Use when testing .NET Aspire distributed applications, configuring AppHost tests, or migrating from Testcontainers to Aspire testing. Covers DistributedApplicationTestingBuilder, container lifecycle management, multi-service orchestration, Respawn configuration, and time testability design. Keywords: aspire testing, .NET Aspire, DistributedApplicationTestingBuilder, AppHost testing, distributed testing, AspireAppFixture, IAsyncLifetime, ContainerLifetime.Session, cloud-native testing, multi-service integration, Aspire.Hosting.Testing, Respawn
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Designs log pipelines. Aggregation, structured queries, sampling, PII scrubbing, correlation.
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Complete guide for AutoFixture advanced customization techniques. Use when you need to customize AutoFixture builders or handle special type test data generation rules. Covers DataAnnotations automatic integration, ISpecimenBuilder implementation, priority management. Includes DateTime/numeric range builders, generic design, and fluent extension methods. Keywords: autofixture customization, autofixture customize, autofixture customization, specimen builder, ISpecimenBuilder, RandomDateTimeSequenceGenerator, NumericRangeBuilder, DataAnnotations autofixture, fixture.Customizations, Insert(0), custom builder, NoSpecimen, generic builder
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Designs EF Core data layer architecture. Read/write split, aggregate boundaries, N+1 governance.
日本語の概要は準備中です。原文の説明を表示しています。
Designs AOT-first apps. Source gen over reflection, AOT-safe DI, serialization, factories.
日本語の概要は準備中です。原文の説明を表示しています。
Designs ASP.NET Core architecture -- vertical slices, pipelines, caching, errors.
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Design, implement, and stabilize automated tests in this repository (unit, integration, and E2E) for .NET/C#, Rust, APIs, and frontend flows. Use when the user asks to create tests, increase coverage, fix flaky tests, or validate behavior changes.
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Use for non-trivial feature, behavior, workflow, or architecture work before execution planning. Create or update a versioned spec under planning/specs/active with design intent, alternatives, risks, acceptance criteria, and planning readiness.
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Design, implement, and stabilize automated tests (unit, integration, E2E) for .NET/C#, Rust, APIs, and frontend flows. Use when the user asks to create tests, increase coverage, fix flaky tests, or validate behavior changes.
日本語の概要は準備中です。原文の説明を表示しています。
Design and enforce privacy and data protection controls across application, API, and database layers. Use when tasks involve PII handling, retention/deletion policies, consent, data minimization, auditability, or compliance-oriented architecture changes.
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Design and implement observability and SRE controls including SLO/SLI, OpenTelemetry instrumentation, alerting, dashboards, and incident readiness. Use when tasks involve telemetry coverage, operational reliability metrics, incident response, or runbook quality.
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Use when wiring shadcn/ui primitives, forms or admin UI in site-os — the component mechanics, the VBField validation layer, and the UI bugs that have actually shipped here. For brand identity (colour, type, logo, voice) load brand instead; that skill wins on any disagreement.
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Generate UI design contract (UI-SPEC.md) for frontend phases
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Generate AI design contract (AI-SPEC.md) for phases that involve building AI systems — framework selection, implementation guidance from official docs, and evaluation strategy
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Executes authorized phishing simulation campaigns to assess an organization's susceptibility to email-based social engineering attacks. The tester designs realistic phishing scenarios, builds credential harvesting infrastructure, sends targeted phishing emails, and tracks open rates, click-through rates, and credential submission rates to measure human security awareness. Activates for requests involving phishing simulation, social engineering assessment, email security testing, or security awareness measurement.
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Designs and implements VLAN-based network segmentation on managed switches to isolate network zones, enforce access control between segments, and reduce the attack surface by limiting lateral movement paths in enterprise network environments.
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Design and execute a social engineering penetration test including phishing, vishing, smishing, and physical pretexting campaigns to measure human security resilience and identify training gaps.
日本語の概要は準備中です。原文の説明を表示しています。