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Master proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design to build maintainable, testable, and scalable systems.

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運用で発見されたレビューパターン (findings / retrospective) を分析し、新 skill への昇格候補 / 既存 skill 更新候補 / 人間判断が必要な項目に分類する

<What this skill does>

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。

Ensure architecture updates document affected stakeholders, notification plan, and deprecation/retirement signals to keep knowledge aligned.

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。

Apply OpenClaw visual identity to logos, typography, imagery, voice, documents, presentations, social graphics, and launch materials. Use when the task changes brand identity rather than ordinary product UI or public-page composition.

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。

Collect and verify Google Street View exterior references for a building reconstruction, preserving panorama identity, imagery dates, attribution and viewpoint separately from calibrated scan evidence.

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 the user wants a wall of album covers, an image wall, a covers grid, or any square art drifting slowly in the background of a site. Includes collecting their saved albums from Spotify and building the wall from them. The wall goes behind whatever front the site already has; a frosted panel is the default when the site has none.

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 and publish the Remotion Lambda layer zips (chromium, fonts, emoji-apple, emoji-google, cjk) from this repo to s3://remotionlambda-binaries-$region across all AWS regions. Use when the user wants to publish, release, upload, or ship a new version of the chromium binaries / lambda layers from the lambda-binaries repo.

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。

Riff visuals, then build the graphics beat table. Use at the beats stage after gate 2, or when the user says "plan the graphics", "beat table", or "what visuals go here".

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。

Distill an already-built or near-launch product into one incisive brand kernel — the "reveal" already hiding in its name, story, or the product itself — then build the name, voice, visual identity, and a developer-ready handoff kit around it. This is LATE-STAGE branding: use it when there is a real, thought-through product that is about to launch, or already live but not explained in a way people grasp in an instant. Use whenever the user wants to name or rename a product, find a tagline or slogan, create a brand identity / brand kit / style guide / design system, design a logo, wordmark, palette, or type system, mock up a homepage for a launch, or hand brand assets to a coding agent (Claude Code, Codex, Cursor). Trigger even when the user only says their product needs to "land" or "feel like" something, or that they can't explain it simply yet. Do NOT use for half-baked, pre-product ideas with nothing to excavate — this skill extracts a kernel that already exists; it does not invent one from a blank canvas.

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。

Interactive Domain-Driven Design modeling sessions based on DDD Distilled (Vaughn Vernon) and Domain Modeling Made Functional (Scott Wlaschin). Guides users through strategic and tactical design via 13 phases: discover, storming, contexts, mapping, aggregates, events, validate, glossary, workflows, types, simulate, publish, sync. Phase 13 (sync) reconciles divergences found by --analyze between the domain model and the implementation — judging whether the model or the code is authoritative, then planning and implementing the fix and re-aligning the model. Phases 9-11 take the conceptual model from phases 1-8 and produce workflow pipeline designs, compilable type definitions (TypeScript, Kotlin, Scala, Rust, C#, F#), workflow verification via type-level tests, and automatic UI field enumeration from the domain model. Phase 12 (publish) renders all docs/domain artifacts into one self-contained, cross-linked HTML site (separate files joined by a shared nav). Each phase is an interactive dialogue where AI acts as facilitator and domain expert challenger. Use when: "DDD", "ドメイン設計", "ドメインモデリング", "Event Storming", "Bounded Context", "集約設計", "ユビキタス言語", "コンテキストマップ", "ワークフロー設計", "パイプライン設計", "ステップ分割", "中間型", "型駆動フロー", "型駆動設計", "Domain Modeling Made Functional", "Railway Oriented Programming", "入力画面項目", "フォーム項目洗い出し", "UI 項目抽出", "HTMLにまとめる", "ドキュメントサイト化", "成果物を1つのHTMLに", "publish", "モデルと実装の差異", "差異解消", "実装との乖離", "モデルとコードを一致", "差異の実装計画", "sync", "複数フェーズを逐次実行", "フェーズをまとめて実行", "/ddd run", "サブコマンド一覧", "/ddd list", "/ddd", "ドメイン分析したい", "モデリングしたい", or any domain design / type modeling activity.

Create a SQL Server CDC capture using flowctl. Use when setting up real-time streaming from SQL Server, Azure SQL, Amazon RDS SQL Server, or Google Cloud SQL. Use when user says "capture SQL Server", "stream from MSSQL", "SQL Server CDC", or "connect SQL Server to Estuary".

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。

Foundation for writing Estuary derivations — what they are, language choice (SQL/TypeScript/Python), project layout, flowctl workflow, stateless vs stateful shuffling, and universal gotchas. Read this before any other derivation-* skill. Use when user says "write a derivation", "how do derivations work", "create a derivation", "derivation setup", or before starting any transformation work.

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。

Gemini API (Nano Banana Pro) を使用した汎用画像生成スキル。 【発動条件】 - 「画像を生成して」「イラストを作成」など一般的な画像生成依頼 - 特定のプロンプトで画像を生成したい場合 【注意】 - 記事のインフォグラフィック生成には `article-infographic` スキルを使用すること - このスキルは汎用的なテキスト→画像生成のみを行う

Generative UI (GenUI) for Flutter using AI models like Google Gemini, Anthropic Claude, or OpenAI via the genui package. Use this skill when building dynamic AI-driven interfaces, conversational UI flows, server-rendered screen layouts, LLM-powered dashboards, chat-based UI generation, or implementing prompt-to-UI systems. Supports AI-generated widgets, reactive data binding, ContentGenerator integration, and A2uiMessageProcessor for real-time UI updates from AI responses. Ideal for apps where UI structure is determined by AI/LLM output rather than hardcoded layouts.

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。

Background processing and heavy computations using Dart Isolates with Isolate.run(), compute() function, and platform channels. Use this skill when performing CPU-intensive operations without blocking UI (image processing, data parsing, encryption), implementing background tasks that prevent jank or frame drops, handling large file operations (JSON parsing, database migrations), running parallel computations, fixing UI freezes caused by main thread blocking, using compute() for one-off background work, creating long-lived Isolates with ReceivePort/SendPort, implementing multi-threaded algorithms, debugging isolate communication issues, or preventing memory leaks from unclosed ReceivePorts. Covers isolate spawn, message passing, ReceivePort cleanup (CRITICAL for leak prevention), SendPort communication patterns, error handling, serialization rules, and performance optimization for compute-heavy operations.

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。

Declarative routing and navigation for Flutter using GoRouter and AutoRoute. Use when implementing navigation guards, nested routes, type-safe routing, or deep link handling.

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Configures Codemagic CI/CD pipelines for Flutter using `codemagic.yaml`. Use when setting up automated Flutter builds on Codemagic, configuring iOS code signing without Fastlane Match, deploying to App Store Connect or Google Play from Codemagic, caching pub dependencies in Codemagic, setting up encrypted environment variable groups, running tests with Codemagic's test dashboard, or choosing between Codemagic and GitHub Actions + Fastlane for a Flutter CI/CD pipeline.

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 native Android apps with the Android team's guides — Jetpack Compose UI, adaptive layouts, edge-to-edge, Compose styles, migrating XML views to Compose, Navigation 3 and predictive back; Android Gradle Plugin 9 upgrades, R8 keep rule analysis, profiling with Android Studio and Perfetto, and the Android CLI; Google Play policy compliance, Play Billing upgrades and the Engage SDK; Credential Manager restore and verified email; CameraX and Media3 Cast; App Functions and the ML Kit GenAI Prompt API; Wear OS, Android TV and display glasses. Use when writing, upgrading or auditing native Android (Kotlin) code for any of these topics, even if the user does not name the library.

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Builds Flutter apps with guides for everything specific to Flutter and Dart — layouts, responsive UI, forms, animations, theming, declarative routing with go_router, widget previews and home screen widgets; HTTP, JSON serialization, local databases and caching; plugins, platform channels and native views; isolates and app size; accessibility and localization; Effective Dart, Dart 3 features and pattern matching; and macOS setup. Use when writing or changing Flutter UI, data or native integration code, or when the user asks how to do something in Flutter, even if they do not name the topic.

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。

DON'T USE THAT SKILL. IT'S JUST AN EXAMPLE. Summarize today's Gmail inbox by category with anonymized senders and subjects, then surface the top 3 emails to focus on next. Run only when the user types /email-summary.

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 a professional git commit message from the repo's current diff. Analyzes all staged, unstaged, and untracked changes, categorizes them, and creates the commit directly (paste-safe commands are a fallback). Trigger on: "commit", "write a commit", "commit message", "what changed", "summarize changes", "draft commit", "changelog", or any request to commit, stage, or describe the current diff.

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The numbers so far: Metric Figure Total DoD employees with access 3 million+ Employees who have used

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。

Hand work down the chain master session, project orchestrator, package orchestrator. Use when the human asks how to split work across levels, which channel connects them, or what each level may do. A convention mapped onto existing mechanisms, not a new tool. GO is never inherited.

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。