「cat」の検索結果

Create, implement, deploy, and debug Adobe Runtime actions with consistent layout, validation, and error handling. Use this skill whenever the user needs to add actions to an App Builder project, understand action structure (params, response format, web/raw actions), configure actions in the manifest, use App Builder SDKs (State, Files, Events, database), deploy and invoke actions via CLI, debug action issues, or implement patterns such as webhook receivers, custom event providers, journaling consumers, large payload redirects, action sequence pipelines, and Asset Compute workers. Also trigger when users mention serverless functions in Adobe context, action logging, IMS authentication for actions, or cron-style scheduled actions.

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 this skill whenever the user wants browser-based end-to-end tests for an Adobe App Builder application. Covers Playwright E2E testing for ExC Shell SPAs, AEM extension UIs, and full-stack flows. Use when the user mentions: "E2E test", "end-to-end test", "Playwright", "browser test", "test my SPA in the browser", "test my AEM extension", "test the full flow", "integration test with UI", "headless browser test", "E2E in CI". This skill is for BROWSER-based testing only. For Jest unit tests of actions or React components, use appbuilder-testing instead.

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 a Content Driven Development process to AEM Edge Delivery Services development. Use for ALL code changes - new blocks, block modifications, CSS styling, bug fixes, core functionality (scripts.js, styles, etc.), or any JavaScript/CSS work that needs validation.

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。

Fetch up-to-date, version-specific documentation for any major library (Next.js 16, Sanity, LangGraph, React, Tailwind CSS, Vitest, Framer Motion) via the Context7 MCP server. Use when writing code against unfamiliar or recently-changed framework APIs, when training data may be stale, when resolving deprecations or version-specific syntax, or when the repo warns about framework drift (e.g. the nextjs-agent-rules block in portfolio-v1/AGENTS.md). Invokes the resolve-library-id and get-library-docs MCP 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。

Use when asked to run, read, or interpret react-doctor output on the Namias portfolio. Covers the npm scripts, the doctor.config.json schema, the score model, the 12-rule catalog, and which findings are real vs false-positive by design.

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 asked to fix a specific react-doctor finding on the Namias portfolio. Reads the report, locates the file, applies the canonical fix pattern, re-runs the tool, and commits the slice.

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。

Resolve one exact official/current documentation gap when the user requests source verification or a version-sensitive API/SDK/provider/framework question can materially change the current decision; do not trigger for every implementation decision, ordinary framework code, local business logic, or broad research.

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。

Create or materially revise a durable specification when the user explicitly requests a spec/new feature contract or a named ambiguity requires formal DEFINE; do not trigger for ordinary bounded edits, implementation, task breakdown alone, review, or documentation of already-settled behavior.

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。

Perform direct, bounded browser inspection through the `browser.qa` capability when the user requests runtime UI evidence or one browser-specific claim needs DOM/accessibility/console/network/visual verification; do not trigger for every UI change, backend work, delegated QA, or durable E2E artifact routing.

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。

Code-review quality gate and test-enhancement rubric. Use when ROSE needs sharper review output contracts, severity and risk prioritization, evidence anchors, negative review cases, fixture or golden-output drift guidance, or a Chinese review report profile; do not use as a duplicate code-review agent or final PASS authority.

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。

Simplify a bounded code area when the user explicitly requests behavior-preserving refactoring or a named complexity/readability problem is the accepted task; do not trigger automatically after implementation, during every review, for adjacent cleanup, or when behavior may change.

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。

Diagnose user-reported AILI/ROSE harness or workflow behavior problems without editing files; use when the user says a command, skill trigger, subagent packet, memory flow, installer, docs, or agent prompt behavior is wrong and wants to know where the issue lives and how to fix it. Do not use for normal product-code bugs; return any approved modification need to ROSE.

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 native iOS apps with SwiftUI, UIKit, SnapKit, Apple HIG, accessibility, and platform UI patterns.

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, critique, or specify honest charts and data visualizations from known data and audience needs. Use for chart selection, misleading-chart audits, accessibility, dashboard visuals, or "make this data easier to understand"; do not use for raw data analysis, PPT deck generation, spreadsheet surgery, or fabricated chart 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。

Break a clear scope or accepted specification into ordered tasks/packages when the user explicitly asks for a plan, estimate, dependency order, or task breakdown; do not trigger for ordinary implementation, every multi-step task, speculative parallelism, review, or completion.

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。

Identifies performance bottlenecks and provides ordered scaling strategies with triggers, phased plans, and cost implications. Use for "scalability planning", "performance bottlenecks", "capacity planning", or "growth strategy".

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。

Create beautiful, accessible user interfaces with shadcn/ui components (built on Radix UI + Tailwind), Tailwind CSS utility-first styling, and canvas-based visual designs. Use when building user interfaces, implementing design systems, creating responsive layouts, adding accessible components (dialogs, dropdowns, forms, tables), customizing themes and colors, implementing dark mode, generating visual designs and posters, or establishing consistent styling patterns across applications.

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 .http files for the VS Code REST Client extension from Express, Next.js, Fastify, or other API routes. Creates organized request files with variables, environments, and authentication. Use when users request "generate http files", "rest client requests", "create .http file", or "vscode api testing".

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。

Deep competitive intelligence for any market. Analyzes competitors' products, pricing, customer sentiment, GTM strategy, and growth signals using real web data. Produces battle cards, pricing landscape, and feature matrix. Use when the user wants to understand their competitive landscape, analyze competitors, compare products in a market, or research who they're competing against. Triggers for "who are my competitors", "competitive analysis", "competitor research", "battle cards", "pricing comparison", "competitor pricing", "market players", "competitive intelligence", "competitive landscape", "who else is in this space", "competitive moat", or any request to profile, compare, or map competitors in a category. Works standalone — no prior startup-design session needed.

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 comprehensive threat models using STRIDE methodology with asset identification, threat enumeration, mitigation strategies, and residual risk assessment. Use for "threat modeling", "security analysis", "STRIDE", or "risk assessment".

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 categorizes test failures, suggests responsible owners, and provides common fix checklists. Generates actionable test reports with failure analysis. Use for "test reporting", "failure triage", "test analysis", or "test automation".

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 response procedures for security incidents with containment steps, communication templates, and evidence collection. Use for "incident response", "security playbook", "breach response", or "IR plan".

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 LLM applications with LangChain including chains, agents, memory, tools, and RAG pipelines. Use when users request "LangChain setup", "LLM chain", "AI workflow", "conversational AI", or "RAG 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。

Generates complete page layouts and shells for common patterns (dashboard, authentication, settings, CRUD pages) with consistent navigation, layout components, routing structure, and state management placeholders. Use when building "new page", "dashboard layout", "auth pages", or "admin panel structure".

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。