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概要と使いどころ
Apply best practices for managing URL, server, and client state in Next.js applications. Use when choosing between URL params, SWR/TanStack Query, Zustand, or Context for state, or when fixing hydration mismatches from localStorage.
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。
Implement WebSocket gateways with Socket.io and Server-Sent Events endpoints in NestJS. Use when building chat features, live feeds, or choosing between WebSocket and SSE for real-time communication.
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。
NIST SP 800-61r3-aligned incident triage that preserves evidence, separates analysis from authorization, and records status. Use for incident intake, severity assessment, containment readiness, or evidence preservation; not generic debugging or unscoped response.
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。
Integrate Android app notifications using Firebase Cloud Messaging and NotificationCompat. Use when setting up FCM, notification channels, or client-side notification taps; defer Flutter, server sends, WorkManager orchestration, and generic Intent handling.
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。
Integrate Retrofit, OkHttp, and Kotlinx Serialization for type-safe API communication in Android. Use when building API clients, adding interceptors, or configuring network security—not standalone MockWebServer or API-test setup.
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。
Evaluates observed product outcomes against a prior hypothesis; does not run experiments or change user treatment.
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。
OTP/BEAM patterns and Elixir idioms — GenServer, Supervisor, Task; Use when designing processes or debugging BEAM…
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。
OTP/BEAM patterns and Elixir idioms — GenServer, Supervisor, Task, Registry, pattern matching, with chains, pipes. Use when designing processes or debugging BEAM 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。
Detects your Python environment and guides you through installing plugin dependencies. Use on first-time setup or when MCP server fails to start.
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。
Deploy or publish Python and R content to a Posit Connect server using rsconnect-python or the R rsconnect package. Handles interactive apps and dashboards, web APIs, rendered documents, and prepared bundles/manifests. Use whenever the user asks to deploy, publish, or redeploy content to Posit Connect, or mentions rsconnect. Consult this skill instead of guessing flags or commands.
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 to select models to run locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA, or ROCm. Covers finding GGUFs, quant selection, running servers, exact GGUF file lookup, conversion, and OpenAI-compatible local serving.
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。
Suggests manual context compaction at logical intervals to preserve context through task phases rather than arbitrary auto-compaction.
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。
GitHub MCP Server ile GitHub API erisimi. Repo, issue, PR, code search, release yonetimi.
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。
Instinct-based learning system that observes sessions via hooks, creates atomic instincts with confidence scoring, and evolves them into skills/commands/agents.
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。
TOCTOU prevention, distributed locking, idempotency keys, race condition detection for Node.js and serverless 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。
React Hook Form + Zod integration, multi-step forms, optimistic validation, server-side error mapping, and file upload patterns.
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。
Backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.
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。
Lambda best practices, S3 event patterns, SQS/SNS fanout, and DynamoDB access patterns for serverless AWS architectures.
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。
Generate exactly one finished CRT retro computer-interface illustration from an uploaded portrait, group photo, creature, object, or described theme. Use when the user wants anchored subjects re-authored as an exaggerated circa-1980s bitmap editorial caricature beneath early Macintosh or Minitel-style windows, optionally invoking the exact Chinese presets 街头怪诞, 巨像符号, or 冷面几何. Before generation, collect a named or image-derived palette and aspect ratio through a strict two-stage intake unless supplied. Preserve each intended subject as a distinct identity, one shared pixel lattice, restricted non-skin checkerboard midtones, low-facet geometry, unequal extraction windows, mandatory barrel-curved CRT edges, and the immutable tait-crt-interface-skill title-bar signature. Never trace, auto-pixelate, imitate photographic detail, omit, merge, or duplicate subjects, retry, resize, expose prompts, or ask users to choose a style preset.
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。
Optimize SQL query performance through EXPLAIN analysis, indexing strategies, and query rewriting for PostgreSQL, MySQL, and SQL Server. Use when debugging slow queries, analyzing execution plans, or improving database performance.
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。
Relational database implementation across Python, Rust, Go, and TypeScript. Use when building CRUD applications, transactional systems, or structured data storage. Covers PostgreSQL (primary), MySQL, SQLite, ORMs (SQLAlchemy, Prisma, SeaORM, GORM), query builders (Drizzle, sqlc, SQLx), migrations, connection pooling, and serverless databases (Neon, PlanetScale, Turso).
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。
Strategic guidance for operationalizing machine learning models from experimentation to production. Covers experiment tracking (MLflow, Weights & Biases), model registry and versioning, feature stores (Feast, Tecton), model serving patterns (Seldon, KServe, BentoML), ML pipeline orchestration (Kubeflow, Airflow), and model monitoring (drift detection, observability). Use when designing ML infrastructure, selecting MLOps platforms, implementing continuous training pipelines, or establishing model 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。
Configure nginx for static sites, reverse proxying, load balancing, SSL/TLS termination, caching, and performance tuning. When setting up web servers, application proxies, or load balancers, this skill provides production-ready patterns with modern security best practices for TLS 1.3, rate limiting, and security headers.
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。
Selecting and implementing AWS services and architectural patterns. Use when designing AWS cloud architectures, choosing compute/storage/database services, implementing serverless or container patterns, or applying AWS Well-Architected Framework principles.
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。