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概要と使いどころ
Expert in event sourcing, CQRS, and event-driven architecture patterns. Masters event store design, projection building, saga orchestration, and eventual consistency patterns. Use PROACTIVELY for event-sourced systems, audit trail requirements, or complex domain modeling with temporal queries.
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You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.
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You are a cloud cost optimization expert specializing in reducing infrastructure expenses while maintaining performance and reliability. Analyze cloud spending, identify savings opportunities, and implement cost-effective architectures across AWS, Azure, and GCP.
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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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You are a compliance expert specializing in regulatory requirements for software systems including GDPR, HIPAA, SOC2, PCI-DSS, and other industry standards. Perform comprehensive compliance audits and provide implementation guidance for achieving and maintaining compliance.
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Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD). Decades of experience writing reliable, optimized, and maintainable embedded code with deep expertise in memory barriers, DMA/cache coherency, interrupt-driven I/O, and peripheral drivers.
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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 AutoFixture and xUnit integration. Use when you need to use AutoData or InlineAutoData to simplify xUnit parameterized test data preparation. Covers custom Customization and test data attributes to improve test readability and maintainability. Keywords: AutoData, InlineAutoData, AutoFixture xUnit, [AutoData], [InlineAutoData], AutoDataAttribute, ICustomization, DataAttribute, parameterized test, Theory AutoData, MemberAutoData, test data attributes, fixture.Customize
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。
Maintains library compatibility. Binary/source compat rules, type forwarders, SemVer impact.
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Use when user requests research requiring multiple sources, comprehensive analysis, or synthesis across topics - technical research, domain knowledge gathering, market analysis, or learning about complex subjects
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Routes .NET/C# work to domain skills. Loads coding-standards for code paths.
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Route tasks using the repository's static routing catalog and load only the minimal context pack. Use before execution when the task spans multiple domains or the correct instruction set is unclear.
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。
Plan and sequence complex implementation work into deterministic, testable steps for this repository. Use when the user asks for planning, roadmap breakdown, execution strategy, effort estimation, or multi-step delivery coordination across domains.
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。
Build a minimal context pack and recommend the correct specialist path for token-efficient execution. Use when the task is non-trivial, spans multiple domains, or should reduce token usage before implementation.
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。
Create safe, deterministic git worktrees for large or risky workstreams. Use when tasks are complex enough to warrant isolation from the main working tree.
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。
Produce and maintain repository documentation and release artifacts, including README files, PR descriptions, changelog entries, prompt templates, and instruction docs. Use when the user asks to create or update docs/process files under .github or project root.
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。
Build and maintain CI/CD pipelines, containerization, Kubernetes manifests, and quality gates for this repository. Use when the user asks for Docker, Kubernetes, GitHub Actions/Azure DevOps pipelines, deployment, reliability, or static analysis workflows.
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。
Assembles the minimal context pack for a given task. Use when the task spans multiple domains or the context set has obvious redundancy. Do not trim required working context by default.
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。
Plan and sequence complex implementation work into deterministic, testable steps. Use when the user asks for planning, roadmap breakdown, execution strategy, effort estimation, or multi-step delivery coordination across domains.
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。
Build and maintain CI/CD pipelines, containerization, Kubernetes manifests, and quality gates. Use when tasks involve Docker, Kubernetes, GitHub Actions/Azure DevOps pipelines, deployment, reliability, or static analysis workflows.
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。
Produce and maintain repository documentation and release artifacts including README files, PR descriptions, changelog entries, prompt templates, and instruction docs. Use when the user asks to create or update docs/process files under .github or project root.
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。
Base implementation skill. Use for code changes, bug fixes, refactors, and script work across .NET/C#, backend APIs, database/ORM, Vue/Quasar frontend, Rust, PowerShell, Docker, K8s, CI/CD, security, observability, and SRE domains. Specialized skills extend this as a base.
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。
Run all remaining phases autonomously — discuss→plan→execute per phase
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The Metasploit Framework is the world's most widely used penetration testing platform, maintained by Rapid7. It contains over 2,300 exploits, 1,200 auxiliary modules, and 400 post-exploitation modules
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