3万 件 ・ 関連度順
概要と使いどころ
Elite AI context engineering specialist mastering dynamic context management, vector databases, knowledge graphs, and intelligent memory systems. Orchestrates context across multi-agent workflows, enterprise AI systems, and long-running projects with 2024/2025 best practices. Use PROACTIVELY for complex AI orchestration.
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。
Write efficient C code with proper memory management, pointer arithmetic, and system calls. Handles embedded systems, kernel modules, and performance-critical code. Use PROACTIVELY for C optimization, memory issues, or system programming.
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。
Elite content marketing strategist specializing in AI-powered content creation, omnichannel distribution, SEO optimization, and data-driven performance marketing. Masters modern content tools, social media automation, and conversion optimization with 2024/2025 best practices. Use PROACTIVELY for comprehensive content marketing.
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。
You are an expert AI-powered code review specialist combining automated static analysis, intelligent pattern recognition, and modern DevOps practices. Leverage AI tools (GitHub Copilot, Qodo, GPT-5, Claude 4.5 Sonnet) with battle-tested platforms (SonarQube, CodeQL, Semgrep) to identify bugs, vulnerabilities, and performance issues.
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 AI assistant application with NLU, dialog management, and integrations
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。
Write modern C# code with advanced features like records, pattern matching, and async/await. Optimizes .NET applications, implements enterprise patterns, and ensures comprehensive testing. Use PROACTIVELY for C# refactoring, performance optimization, or complex .NET solutions.
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。
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.
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。
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
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。
Creates a new .NET project. Generates solution with CPM, analyzers, editorconfig, SourceLink.
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。
Complete guide for AutoFixture and Bogus integration. Use when you need to combine AutoFixture with Bogus to generate test data that is both anonymous and realistic. Covers SpecimenBuilder integration, hybrid generators, test data factories, and circular reference handling. Keywords: autofixture bogus integration, autofixture bogus, bogus integration, Faker, EmailSpecimenBuilder, PhoneSpecimenBuilder, NameSpecimenBuilder, realistic test data, semantic data, hybrid generator, HybridTestDataGenerator, OmitOnRecursionBehavior, circular reference
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。
Specialized skill for handling complex object comparison and deep validation. Use when you need to compare deep objects, exclude specific properties, handle circular references, or validate DTOs/Entities. Covers BeEquivalentTo, Excluding, Including, custom comparison rules, etc. Keywords: object comparison, deep comparison, BeEquivalentTo, DTO comparison, Entity validation, excluding properties, circular reference, Excluding, Including, ExcludingNestedObjects, RespectingRuntimeTypes, WithStrictOrdering, ignore timestamp, exclude timestamp
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。
Complete guide for TUnit new-generation testing framework. Use when creating test projects with TUnit or migrating from xUnit to TUnit. Covers Source Generator driven test discovery, AOT compilation support, fluent async assertions. Includes project creation, [Test] attribute, lifecycle management, parallel control, and xUnit syntax comparison. Keywords: TUnit, tunit testing, source generator testing, AOT testing, new generation testing framework, [Test], [Arguments], TUnit.Assertions, Assert.That, Before(Test), After(Test), NotInParallel, TUnit.Templates, Microsoft.Testing.Platform, TUnit vs xUnit, parallel execution
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。
Builds .NET CLI apps with System.CommandLine 2.0. Commands, options, SetAction, parsing, testing.
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。
Verifies complex outputs with Verify. API responses, scrubbing non-deterministic values.
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。
Symbol-level refactoring with automatic reference updates using Serena MCP
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。
Offline mode with local caching for air-gapped environments
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。
Tests with real infrastructure. WebApplicationFactory, Testcontainers, Aspire, fixtures.
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。
Registers and resolves services with MS DI. Keyed services, scopes, decoration, lifetimes.
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。
AI-powered wiki generation for code repositories with commands, agents, and skills
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。
Offline mode with local caching for air-gapped environments
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 for this repository across .NET/C#, backend APIs, database/ORM, frontend Vue/Quasar, and Rust with Clean Architecture rules. Use when the user asks to build features, fix bugs, refactor modules, or improve code-level performance, and use specialized skills as inheritance layers when available.
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。
Use for non-trivial, design-bearing, or architecture-affecting work before execution planning. Creates or updates a versioned spec under planning/specs/active/ with design intent, alternatives, risks, and acceptance criteria.
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。
Extend dev-software-engineer with .NET/C# backend specialization for Clean Architecture, CQRS, EF Core, and production-ready API practices. Use when tasks involve ASP.NET endpoints, handlers, services, dependency injection, MediatR, migrations, or backend performance/resilience and should follow the base implementation workflow.
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。
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.
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。