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概要と使いどころ
Generates Domain Events and their handlers following DDD patterns. Implements event raising in entities, MediatR notification handlers, and the Outbox pattern for reliable event processing.
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 CQRS Commands with Handlers, Validators, and Request DTOs following Clean Architecture patterns. Commands represent actions that modify state and return Result types for proper error 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。
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。
Generates CQRS Queries with Handlers and Response DTOs for read operations. Uses Dapper for optimized read queries, bypassing the domain model for better 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。
Bench instruments and measurement techniques for electronics — digital multimeter, oscilloscope, logic analyzer, spectrum analyzer, function generator, power supply, and their proper use. Covers probing technique, ground loops, loading effects, trigger modes, FFT mode pitfalls, signal integrity, noise budget analysis, and debugging workflows from "it doesn't work" to "here is the failure mechanism." Use when measuring, debugging, or characterizing any electronic circuit or firmware-hardware interaction.
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。
Package conversation research into a GSD-ready mission package. Produces a three-stage Vision → Research → Mission pipeline as a LaTeX PDF following GSD/NASA SE methodology, designed to be handed to gsd-skill-creator for execution. Use this skill when the user has been discussing, researching, or brainstorming a topic and then asks to turn it into a research mission, research pack, mission package, or says 'package this as a mission', 'make this a research pack', 'turn this into a mission for skill-creator', 'create a research mission from this', or 'use the research mission skill'. The skill harvests findings, sources, and structure from the current conversation and any prior research, then produces the complete pipeline document. Also trigger if the user asks to 'create a research mission on [topic]' cold — in that case, conduct web research first, then package.
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 test cases for functions and components. Use when writing tests or creating test suites.
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。
Conversational guide for using tools/session-retro/observe.mjs to capture friction, wins, corrections, decisions, gaps, tool-use, and checkpoints as they happen during a session. Use at session start (to kick off the log), at inflection points (to record events), and at session end (to archive and feed the retrospective generator).
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。
Emit Postgres.sql and SQLite.sql from a single schema spec so tools work across both drivers without duplicating DDL by hand. Use when designing a schema that needs to support both shared Postgres deployments and zero-config SQLite. Reduces two-file sync burden to a single source edit.
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。
Guidance for generating OpenStack runbooks with dual task/symptom indexing following NASA procedure standards. Use when creating incident response procedures, operational runbooks, or troubleshooting guides that must be verified against running infrastructure.
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。
設計、編劇、製作與迭代爆款 AI 短劇／漫劇／仿真人直式連載。用於「AI短劇」「AI漫劇」「爽劇」「微短劇」「爆款情景」「一鏡到底」「宮格成片」「故事連鏡」「角色三視圖」「假廢物真強者」「扮豬吃虎」「重生」「轉生／穿越」「系統流」「隱藏大佬／隱藏身份」「逆襲／打臉／復仇」「真假千金」「末世」「修仙」「規則怪談」「ReelShort／DramaBox 風」「分集大綱」「每集鉤子」「季節拍」「短劇角色一致性」「把小說改短劇」「短劇為什麼不爆」「規劃一季／寫下一集」「從故事到AI成片」「一鍵做短劇」「100%自動化」「全部你來」等任務。負責題材雷達、片型路由、概念綠燈、系列 Bible、資產註冊、逐鏡時間線、爽點與揭露階梯、分集編劇、連載狀態、production pack、可續跑生成、成片 QA 與成效回填；實際媒體提示詞交給 ai-media-generator，完整剪輯交付可串接 video-autopilot 或相容執行器。
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 migration guide from Prisma ORM v6 to v7 covering all breaking changes. Use when upgrading Prisma versions, encountering v7 errors, or migrating existing projects. Triggers on "upgrade to prisma 7", "prisma 7 migration", "prisma-client generator", "driver adapter required".
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。
Convert a codebase into a self-contained HTML portal app for ingestion into AI application systems. Produces a single deployable HTML file with embedded CSS, JS, and data.
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。
Automatically creates user-facing changelogs from git commits by analyzing commit history, categorizing changes, and transforming technical commits into clear, customer-friendly release notes. Turns hours of manual changelog writing into minutes of automated generation.
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 bifurcation diagrams for dynamical systems. Use when visualizing parameter-dependent behavior transitions.
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 writing asyncio Python code — async/await coroutines, concurrent I/O with asyncio.gather, task creation and cancellation, semaphore rate limiting, producer-consumer queues, async context managers, async generators, WebSocket servers, aiohttp web scraping, async database operations, run_in_executor for blocking calls, or testing async code with pytest-asyncio. Covers FastAPI and aiohttp patterns, synchronization primitives, timeout handling, and common pitfalls like event loop blocking and missing await.
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。
When the user wants to plan, evaluate, or build a free tool for marketing purposes — lead generation, SEO value, or brand awareness. Also use when the user mentions "engineering as marketing," "free tool," "marketing tool," "calculator," "generator," "interactive tool," "lead gen tool," "build a tool for leads," or "free resource." This skill bridges engineering and marketing — useful for founders and technical marketers.
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。
Choose the right serialization format for .NET applications. Prefer schema-based formats (Protobuf, MessagePack) over reflection-based (Newtonsoft.Json). Use System.Text.Json with AOT source generators for JSON scenarios.
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。
Analyze code coverage and CRAP (Change Risk Anti-Patterns) scores to identify high-risk code. Use OpenCover format with ReportGenerator for Risk Hotspots showing cyclomatic complexity and untested code paths.
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。
Incremental LLM-friendly wiki generator for Obsidian note vaults. Use when: (1) Building wiki from notes, (2) Ingesting notes to wiki, (3) Obsidian LLM wiki, (4) Incremental knowledge base management. Triggers: 'build wiki from notes', 'ingest notes to wiki', 'Obsidian LLM wiki', 'incremental knowledge 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。
End-to-end research workflow skill for investment analysts and policy researchers. Three scope modes the user picks at trigger time — light (4-5 page decision memo, ~15 min, 0 charts), medium (12-15 page topic brief, ~1 h, 6-10 charts), heavy (flagship report 30-40 pages / 15k+ words, ~2-3 h, 25-35+ charts, multi-stage workflow, multi-LLM, PDF + Word + WeChat + HTML derivations). Reports default to English; the AI replies in the user's chat language. Battle-tested on real macro/policy/equity reports (e.g. Saudi Vision 2030 deep-dive). Triggers when user types /analyst-research, /flagship-research, or describes needs like "research report", "topic analysis", "investment research", "做研报", "投研报告", "主题分析", "深度分析", "policy assessment", "industry deep-dive". Not for: pure news commentary (use topic-brief), slide decks (use deckster-slide-generator), one-shot Q&A.
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 hierarchical AGENTS.md structures for codebases. Use when user asks to create AGENTS.md files, analyze codebase for AI agent documentation, set up AI-friendly project documentation, or generate context files for AI coding assistants. Triggers on "create AGENTS.md", "generate agents", "analyze codebase for AI", "AI documentation setup", "hierarchical 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。
交互式生成 GitHub Copilot agents.md 文件的工作流。当用户请求创建代理、构建自定义 Copilot 代理、生成 agents.md 或需要帮助配置 GitHub Copilot 自定义代理时使用。触发短语包括"创建代理"、"生成 agent.md"、"做一个文档代理"、"生成测试代理"等涉及 GitHub Copilot 代理配置的请求。
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。
ユーザーの責任範囲定義から、Agentのマークダウンファイルを生成する。エージェント作成時、プラグイン要素生成時、またはユーザーがエージェント定義、責任範囲、Agent生成、エージェントドキュメントに言及した際に使用する。