「stack」の検索結果

Use when a NEW landing page, sales page, or single-product page has to be built — seven-section structure, one page one goal one CTA, copy per block, mobile-first rules, technical and speed requirements, tracking plan, A/B test plan, and a dropshipping single-product mode. Trigger on 'landing page brief', 'build a sales page', 'I need a landing page', 'brief for the dev', 'Shopify product page', 'what should go on the page'. Also use when ad traffic is ready and there is nowhere to send it. Not for — the ad copy pointing at the page, see `05-ad-copy-global`; the offer and its value stack, see `31-offer-design-global`; scoring a finished design, see `47-design-review-global`; coded email, see `49-html-email-template-global`.

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 needs to choose and stand up marketing channels and the tech behind them — channel selection scoring, platform-by-platform setup checklists, business account and verification steps, and integrations, with region priorities: US Meta plus Google plus LinkedIn, EU adding Xing, SEA adding TikTok, Shopee, Lazada and LINE, LATAM adding WhatsApp Business and Mercado Libre. Trigger on 'channel setup', 'which platforms should we be on', 'set up Google Business Profile', 'marketing tech stack', 'we are starting from zero on social', 'connect our accounts'. Not for — conversion tracking and pixels, see `53-tracking-setup-global`; ad account hierarchy, see `52-account-structure-global`; the posting plan once channels exist, see `01-content-calendar-global`.

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。

Phase 0 of the prd-taskmaster pipeline. Resolves the active backend, initializes the project, configures the provider stack when the TaskMaster backend is active (DETECT-FIRST — never overwrite a working user config), and verifies the AI pipeline. Autonomous: zero user questions unless a hard block is hit. Declares the Setup phase complete so DISCOVER can follow.

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。

Alive skill router — reads the current project's stack and loads/unloads skills dynamically. Invoke at session start or when project context changes.

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。

Repo-aware recommendation manager for ctx. Scans the active repository, identifies stack and workflow signals, recommends a capped set of skills, agents, and MCP servers, and unloads helpers that no longer match the current work after user confirmation. Harnesses are recommended by the custom-model onboarding flow or loop adapters and then attach to the same recommendation layer.

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。

Creates project technical rules and recurring local procedures from the actual stack; edits guidance only, not architecture targets or application code.

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 stack navigation, type-safe routes, deep linking, and URL-based routing with React Navigation in React Native. Use for React Navigation route configuration; defer unrelated performance, notification, build, and styling 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。

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。

Cross-stack selector and test-id policy for web and mobile automation. Use when writing or reviewing E2E/UI test locators, or adding data-testid/accessibility identifiers to components.

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。

Drives iOS/Android mobile devices via Appium MCP. Runs a preflight, picks local emulator/simulator/USB or a device cloud, captures screenshots/page source into a named evidence dir. Use for verifying mobile bugs, E2E tests, and navigating real device clouds (LambdaTest/BrowserStack).

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 local persistence with SwiftData, Core Data, and secure storage. Use when setting up SwiftData models, Core Data stacks, or local persistence in iOS.

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。

Infer the requesting operator's technical fluency from message content (never ask directly) and adapt register — business, hybrid, or technical — across SDLC workflow output. Use when starting sdlc, brainstorm-feature, plan-feature, verify-work, publish-notes, or session-report, or whenever a request's phrasing signals a non-technical or cross-stack operator.

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 screen routes and deep-link/App Link routing with Jetpack Compose Navigation on Android. Use when the primary task is Compose route configuration or external URL routing; defer typed-route APIs, XML/fragments, generic back-stack, and transition questions to their specific navigation skills.

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。

Install and migrate to Jetpack Navigation 3. Use when implementing Navigation 3 patterns including NavDisplay, NavKey routes, deep links, multiple backstacks, scenes (dialogs, bottom sheets), or migrating from Navigation 2.

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。

Find the root cause of Elixir/Phoenix bugs — crashes, exceptions, stack traces, compile errors, LiveView that won't update, silent failures. Use when something is broken or misbehaves. --parallel for 4 tracks.

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。

Reviews lyrics and prose for AI-written patterns (abstract noun stacking, over-explained metaphors, cliche escalation, missing idiosyncrasy, prose AI tells). Advisory Warning/Info severity — flags issues, does not block or rewrite. Use when reviewing lyrics for authenticity or before generation to catch AI-sounding language.

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。

堆叠符号清洗工具。去除纯符号装饰行/分隔线（====、****、

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。

Plan and coordinate a model deployment to Amazon SageMaker, including serving stack and real-time versus async inference. Use as the entry point for SageMaker hosting requests, before image, IAM, and endpoint implementation skills.

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。

ThoughtWorks Radar model, technology evaluation framework, ADR format, and stack compatibility analysis

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。

Token-efficient code analysis via 5-layer stack (AST, Call Graph, CFG, DFG, PDG). 95% token savings.

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。

Multi-layer cognitive stack for machine-verified mathematical problem solving across 14 sub-disciplines.

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。

Projeye girdiginde tech stack'i tespit et, uygun skill ve agent'lari aktive et. Kullanim: /project-detect

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。

Deterministic router for math cognitive stack - maps user intent to exact CLI 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。

Guide to the math cognitive stack - what tools exist and when to use each

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。