「lab」の検索結果

Detect null/undefined/empty handling gaps where callers or consumers may receive unexpected nullish values.

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.

Handle NULL values and set default values for missing fields in collections and materializations. Use when fields need defaults, nullable primary key errors occur, or source data has gaps. Use when user says "NULL values", "default value", "missing field", "nullable primary key error", or "fill in missing 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。

Use when building UI, components, motion icons, loaders, or visual design. In BDB projects, routes to the BDB component and motion-icon library (npm @hybridlabor-api/ui-motion-library, shadcn namespace @bdb) as the first source before third-party registries or building from scratch. Outside BDB projects, the same lookup order applies with the original sources listed in the bdb-ui-library repository docs.

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 working with Cronofy — cronofy calendar API platform management covering calendars, events, availability, scheduling, and account sync health. Use when monitoring calendar integrations, analyzing scheduling patterns, reviewing availability rules, managing connected accounts, or troubleshooting Cronofy calendar sync 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。

Use when working with Cal Com — cal.com open-source scheduling platform management covering event types, bookings, availability, teams, and analytics. Use when monitoring booking rates, analyzing event type usage, reviewing team availability, managing Cal.com schedules, or troubleshooting scheduling 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。

Use when working with Box — box cloud content management platform covering files, folders, users, collaborations, metadata, and usage analytics. Use when monitoring storage usage, analyzing file activity, reviewing collaboration health, managing Box users and permissions, or troubleshooting content sharing 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。

Expert en annotation de données avancé (annotation, quality, active learning, consensus, tools)

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 en pipelines CI/CD (GitHub Actions, GitLab CI, Jenkins, ArgoCD, progressive delivery)

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 en CI/CD pipeline v2 (GitHub Actions, GitLab CI, Jenkins, ArgoCD, progressive delivery)

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。

AI Voice Cloner IA — Expert en clonage vocal IA (ElevenLabs, XTTS, voice cloning, TTS, STT, voice bios)

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AI voice cloner v2 — ElevenLabs, XTTS, voice conversion, prosody, licensing

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Survey one surface of tdmcp (artist controls, library/packaging, CLI/DX, AI/LLM, or TouchDesigner depth) for candidate NEW features — inventory what exists, cross-check the roadmap, apply the gap-finding lenses, vet each idea, and emit a structured, novelty- and confidence-labelled candidate list to _workspace/discovery/. Use when a td-surveyor agent is scouting a surface during the feature-discovery harness.

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。

Master advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.

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Diagnose and audit SEO issues affecting crawlability, indexation, rankings, and organic performance.

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Audit technical SEO across crawlability, indexability, security, URLs, mobile, Core Web Vitals, structured data, JavaScript rendering, and related platform signals like robots.txt and AI crawler access.

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 efficient, scalable monorepos that enable code sharing, consistent tooling, and atomic changes across multiple packages and applications.

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Use before creative or constructive work (features, architecture, behavior). Transforms vague ideas into validated designs through disciplined reasoning and collaboration.

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。

Master advanced Git techniques to maintain clean history, collaborate effectively, and recover from any situation with confidence.

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Master REST and GraphQL API design principles to build intuitive, scalable, and maintainable APIs that delight developers and stand the test of time.

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。

Ask which skill or flow fits your situation. A route through AOS's skills for work that travels idea to ship, plus a catalogue of the available options for lookup. Use when unsure where to start, or when picking between overlapping choices.

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 creating, updating, and merging code in a collaborative version control environment.

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 platform accessibility best practices to SwiftUI, UIKit, and AppKit code. Essential companion to any SwiftUI, UIKit, or AppKit skill — always use together. Use whenever writing, editing, or reviewing ANY SwiftUI views, UIKit view controllers, AppKit views/window controllers, or platform UI — even when the user doesn't mention accessibility. Also use when the user mentions VoiceOver, Voice Control, Dynamic Type, Reduce Motion, screen reader, a11y, WCAG, accessibility audit, Nutrition Labels, accessibilityLabel, UIAccessibility, NSAccessibility, assistive technologies, or Switch Control. Not for server-side Swift, non-UI packages, or CLI tools.

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Manual testing + bug filing for Enterprise / SaaS products. Parses a Feishu test doc (scope + repo + bitable URL), observes staging via claude-in-chrome, captures DOM/console/network/screenshot evidence, then dual-tracks each finding — Feishu Bitable record (with attachments) + GitHub issue (<REPO>#<ISSUE_NUMBER> format — English-primary, Chinese collapsed, R2-hosted screenshots, matching type label). Enforces dedup across bitable + GitHub issues + PRs, and mandatory P0/P1/P2 priority prompt when unclear. Trigger whenever the user says "test and report", "test and report side-by-side", "start system testing", "experience staging", "collaborate on bug filing", "collect feedback", a shared Feishu testing doc, a bitable URL + finding, or any UX/bug needing both bitable + GitHub tracking. Do NOT use for writing product code, PR review, CI debugging, or general "how do I use this product" questions — those go to normal dev / PR-review / support flows.

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。