1.1万 件 ・ 関連度順
概要と使いどころ
Expert-level skill for Node.js 24+ (LTS), Bun 1.2+, and Deno 2.x backend development. Covers Express 5, Fastify 5, Hono v4, NestJS, Prisma 6, Drizzle ORM, WebSockets, BullMQ, OpenTelemetry, and microservices in English and Indonesian.
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。
Expert guide for Knowledge Graphs, GraphRAG, Microsoft GraphRAG, Neo4j Text2Cypher, multi-hop relational retrieval, and hybrid vector-graph search / Panduan ahli Knowledge Graph, GraphRAG, dan pencarian relasional multi-hop.
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。
Expert-level skill for Go programming (Go 1.25+). Covers high-performance microservices, concurrency patterns, sqlc, net/http, Gin/Echo/Fiber, gRPC, and testing in English and Indonesian.
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。
Expert guide for React Native 0.79+ and Expo SDK 53+ development. Covers cross-platform mobile architecture, Expo Router v4, New Architecture, OTA updates, and native modules / Panduan ahli pengembangan React Native 0.79+ dan Expo SDK 53+ untuk aplikasi mobile.
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。
Expert guide for error handling patterns, resilience engineering, retry strategies, circuit breakers, and graceful degradation across React, Next.js, and Node.js / Panduan ahli pola penanganan error, rekayasa ketahanan, strategi retry, circuit breaker, dan degradasi anggun di React, Next.js, dan Node.js.
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。
Grants the AI the ability to act proactively using native cron/timer scheduling. The agent can monitor systems, poll APIs, or watch logs in the background and self-trigger without waiting for user prompts.
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。
Expert guide for engineering and optimizing ultra-large context windows (2M+ tokens) across Gemini 4 Pro, Claude 5.5, and GPT Astra 6 — context partitioning, retrieval-augmented context injection, sliding window strategies, and cost-aware token budgeting / Panduan ahli rekayasa dan optimasi context window ultra-besar (2M+ token) di Gemini 4 Pro, Claude 5.5, dan GPT Astra 6 — partisi konteks, injeksi konteks berbasis retrieval, strategi sliding window, dan penganggaran token sadar-biaya.
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。
Expert guide for Composable MACH Architecture (Microservices, API-first, Cloud-native, Headless) — dynamic UI composition, federated API mesh, Backend-for-Frontend patterns, plugin/extension architectures, event-driven composition, and composable AI routing / Panduan ahli Arsitektur MACH Komposabel — komposisi UI dinamis, API mesh federasi, pola Backend-for-Frontend, arsitektur plugin/ekstensi, komposisi event-driven, dan routing AI komposabel.
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。
Expert guide for Affective Computing, emotional AI, and real-time sentiment analysis through native multimodal tokens (voice intonation and facial micro-expressions) / Panduan ahli komputasi afektif, AI emosional, dan analisis sentimen real-time melalui token multimodal native.
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。
Customize Univer color themes, branded palettes, dark mode, and theme-aware plugin styles across Sheets, Docs, Slides, Bases, Boards, and PDFs. Use when setting an initial or runtime Theme, consuming ThemeService or --univer-* CSS variables, keeping custom UI or canvas code theme-aware, registering a separate Univer Pro chart theme, or migrating theme code from Univer 0.25.0 to current 1.0 source.
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 when installing or operating Univer CLI for .univer files, spreadsheets, documents, slides, Base databases, Board canvases, cross-Unit embedding, worktrees, Facade authoring, inspection, verification, import/export, screenshots, or viewer handoff.
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。
Synthetic stakeholder panel — build a mixed panel of grounded personas, run independent and cross-reaction rounds against a launch, pricing change, PRD, or message, and return ranked objections and messages to test. Use when asked to "simulate how users will react", "test this launch with a synthetic panel", "focus group this", "how will people react to this pricing change", or "pressure-test this message".
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。
Control a whole Windows desktop from one persistent Python session with foreground-first input (focus holding, SendInput with pen/message fallbacks), background screenshots, UI Automation, Browser Harness, clipboard paste, PowerShell, and filesystem access. Use for native, Electron, browser, dialog, file, or cross-app tasks.
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。
Generates Minimal API endpoints following Microsoft's recommended approach. Creates fast, testable HTTP APIs with minimal code using MapGet/MapPost/MapPut/MapDelete. Preferred over controller-based APIs for new projects.
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。
Generates MediatR Pipeline Behaviors for cross-cutting concerns like logging, validation, exception handling, caching, and performance monitoring. Implements the decorator pattern around handlers.
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。
Scaffolds a complete .NET solution following Clean Architecture principles with proper layer separation (API, Application, Domain, Infrastructure). Creates project structure, dependency injection setup, and cross-cutting concerns configuration.
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。
Configures structured logging with ILogger<T> and ILoggerFactory following Microsoft best practices. Includes Serilog setup, log enrichment, and logging source generators for high-performance logging.
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。
SQL Server database design best practices, naming conventions, indexing strategies, and performance optimization for .NET applications using Microsoft.Data.SqlClient and EF Core.
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。
Generates scheduled background jobs using Quartz.NET. Includes job definitions, triggers, cron scheduling, dependency injection, and persistent job store configuration.
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 the Crabbox wrapper for OpenClaw remote validation across Linux, macOS, Windows, and WSL2, including delegated Blacksmith Testbox proof. Report the actual provider and id.
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。
Survey documentation coverage across an API or SDK — find undocumented endpoints and gaps. Use when asked "what is undocumented", "find docs coverage gaps", or "survey our API documentation".
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 expansion revenue playbooks — upsell triggers, seat expansion sequences, tier upgrade paths, and cross-sell motions. Use when asked to "grow existing customers", "increase NRR", "design upsell", or "how do we get customers to expand".
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。
Operations reconnaissance — audit process documentation, vendor contracts, compliance posture, OKR health, and cross-functional friction points to understand where operations is the bottleneck. Use when asked to "audit our operations", "where are we slow", "what processes are broken", or "before designing a compliance program".
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。
Operational efficiency audit — identify waste, redundancy, and friction across processes, tools, and team workflows. Use when asked to "audit our operations for waste", "where are we inefficient", "what tools are we paying for but not using", or "reduce operational overhead".
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。