2천건 · 관련도순
Expert in vector databases, embedding strategies, and semantic search implementation. Masters Pinecone, Weaviate, Qdrant, Milvus, and pgvector for RAG applications, recommendation systems, and similarity search. Use PROACTIVELY for vector search implementation, embedding optimization, or semantic retrieval systems.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyzes provided content for quality, E-E-A-T signals, and SEO best practices. Scores content and provides improvement recommendations based on established guidelines. Use PROACTIVELY for content review.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Master modern business analysis with AI-powered analytics, real-time dashboards, and data-driven insights. Build comprehensive KPI frameworks, predictive models, and strategic recommendations. Use PROACTIVELY for business intelligence or strategic analysis.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Test naming conventions and best practices specialized skill. Used when naming test methods, improving test readability, and establishing naming standards. Covers three-part naming method, Chinese naming recommendations, test class naming, etc. Keywords: test naming, test naming, naming conventions, naming conventions, three-part naming, three-part naming, method_scenario_expected, method_scenario_expected, how to name tests, test readability, naming best practices, test report, test documentation
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
.NET testing fundamentals overview and navigation center. Triggered when users ask about "how to write .NET tests", ".NET testing getting started", "required testing tools", "testing best practices", "learn testing from scratch", and other general testing needs. Recommends appropriate sub-skills based on specific requirements, covering testing fundamentals, test data, assertions, mocking, special scenarios, and other 19 fundamental skills. Keywords: dotnet testing, .NET testing, testing getting started, how to write tests, testing best practices, unit test, unit test, xunit, 3A pattern, FIRST principle, assertion, assertion, mock, stub, NSubstitute, test data, AutoFixture, Bogus, validator, FluentValidation, TimeProvider, IFileSystem, code coverage, ITestOutputHelper, test naming
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
.NET advanced testing skills overview and navigation center. Triggered when users ask about "integration testing", "API testing", "containerized testing", "microservice testing", "test framework migration", "Testcontainers", "Aspire testing", and other advanced testing needs. Recommends appropriate sub-skills based on specific requirements, covering integration testing, Testcontainers, Aspire testing, framework upgrades, and other 8 advanced skills. Keywords: integration testing, integration testing, API testing, advanced testing, advanced testing, testcontainers, aspire testing, WebApplicationFactory, TestServer, database test, database testing, EF Core test, MongoDB test, Redis test, Docker test, container testing, microservice test, microservice testing, .NET Aspire, xUnit upgrade, TUnit, framework migration
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Comprehensive AI prompt engineering safety review and improvement prompt. Analyzes prompts for safety, bias, security vulnerabilities, and effectiveness while providing detailed improvement recommendations.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
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.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Gather phase context through adaptive questioning before planning. Use --auto to skip interactive questions (the agent picks recommended defaults). Use --chain for interactive discuss followed by automatic plan+execute. Use --power for bulk question generation into a file-based UI (answer at your own pace).
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Facilitate structured post-incident reviews to identify root causes, document what worked and failed, and produce actionable recommendations to improve future incident response.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Auditing Google Cloud Platform IAM permissions to identify overly permissive bindings, primitive role usage, service account key proliferation, and cross-project access risks using gcloud CLI, Policy Analyzer, and IAM Recommender.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyze and improve the internal link structure of an AEM Edge Delivery Services site. Builds a link graph from the query index and page content, identifies orphan pages, hub pages, and content silos, and generates specific linking recommendations with suggested anchor text and placement. Use when improving site navigation, fixing orphan pages, strengthening topical authority, or auditing link equity distribution.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Structure source-grounded consulting-style analysis for strategy, market, product, operations, or decision memos. Use for MECE problem framing, hypotheses, options, tradeoffs, executive recommendations, or "consulting analysis" requests; do not use for legal/financial advice, implementation, data computation, chart rendering, or unsourced business claims.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
PR test analysis routing. Use for pull request or diff test impact, changed-test review, CI failure interpretation, and focused test matrix recommendations; do not use for general code review or editing tests.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Analyzes and optimizes SQL queries using EXPLAIN plans, index recommendations, query rewrites, and performance benchmarking. Use for "query optimization", "slow queries", "database performance", or "EXPLAIN analysis".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audits database schemas for naming conventions, type consistency, nullability patterns, and missing constraints. Provides violations report with recommended fixes. Use for "schema validation", "database linting", "schema standards", or "consistency checks".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Standardizes UX states for data fetching flows (loading, error, empty, success) and complex multi-view UI patterns. Provides state machine approach recommendations, loading skeletons, error boundaries, and empty state components. Use when implementing "loading states", "error handling", "empty states", or "state machines".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Scores and prioritizes technical debt by impact, risk, and effort. Provides ranked backlog with ROI analysis and quarterly paydown recommendations. Use for "tech debt", "technical debt management", "code quality", or "refactoring priorities".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Identifies domain modules, ownership boundaries, dependencies, and interfaces using Domain-Driven Design principles. Provides domain maps, bounded contexts, refactor recommendations. Use for "DDD", "domain modeling", "bounded contexts", or "service boundaries".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Audits project dependencies for outdated packages, duplicates, heavy/problematic libraries, security vulnerabilities, and risky version combinations. Generates prioritized reports with security, performance, and maintainability insights, upgrade paths, and safe pinning recommendations. Use when users request dependency audits, package updates, security checks, or dependency optimization.
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Estimates infrastructure needs based on traffic forecasts, workload analysis, and performance requirements with sizing recommendations and cost trade-offs. Use for "capacity planning", "infrastructure sizing", "resource estimation", or "scalability planning".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Installs and configures Prettier, ESLint, EditorConfig, and other code quality tools to enforce consistent code style across the team. Generates config files, npm scripts, editor settings recommendations, and CI integration suggestions. Use when users request "setup prettier", "add eslint", "configure code formatting", or "enforce code style".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reviews authentication and authorization implementation for session management, CSRF, cookie security, and auth flow vulnerabilities with findings, severity assessment, and fix recommendations. Use for "auth review", "session security", "CSRF protection", or "authentication audit".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.
Reduces LLM costs and improves response times through caching, model selection, batching, and prompt optimization. Provides cost breakdowns, latency hotspots, and configuration recommendations. Use for "cost reduction", "performance optimization", "latency improvement", or "efficiency".
한국어 요약은 준비 중입니다. 원문 설명을 표시하고 있습니다.