「application」の検索結果

Apify Actorization workflow skill. Use this skill when the user needs Actorization converts existing software into reusable serverless applications compatible with the Apify platform. Actors are programs packaged as Docker images that accept well-defined JSON input, perform an action, and optionally produce structured JSON output and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

Angular Expert workflow skill. Use this skill when the user needs Modern Angular (v20+) expert with deep knowledge of Signals, Standalone Components, Zoneless applications, SSR/Hydration, and reactive patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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。

Angular Expert workflow skill. Use this skill when the user needs Modern Angular (v20+) expert with deep knowledge of Signals, Standalone Components, Zoneless applications, SSR/Hydration, and reactive patterns and the operator should preserve the upstream workflow, copied support files, and provenance before merging or handing off.

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 guardrailed UI from natural language. Emits constrained JSON that a Preact runtime renders. Use when the request is for a dashboard with metrics, charts, or tables; an admin panel; a data visualization interface; or a form-based application.

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 git patch files from codebase modifications for local application. Use when user mentions patch, diff, export changes, bring changes back, apply locally, or after editing uploaded codebases.

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。

Investigate an unexplained defect or unexpected behavior without changing application code. Use for root-cause diagnosis and an evidence-backed handoff, including a bounded unresolved result. Not for implementing a known fix, new features, or explanation-only questions.

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。

Investigate an unexplained defect or unexpected behavior without changing application code. Use for root-cause diagnosis and an evidence-backed handoff, including a bounded unresolved result. Not for implementing a known fix, new features, or explanation-only questions.

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 AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search 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。

Create a consistent spacing system based on a base unit with contextual application rules.

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。

Analyze job postings, calculate match scores, identify gaps, and create application 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。

Define an illustration style guide with visual language, color usage, and application rules.

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。

Fill out a job application on Greenhouse, Lever, or Workday

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。

Run an authorized, local-first application security assessment on the current project using this agent's own reasoning. Use when the user invokes Myrqen, asks to security-test or pentest the app they are building, asks whether their app has real vulnerabilities before shipping, wants a Myrqen finding validated, or wants a Myrqen remediation applied and retested.

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 open AI engineering jobs that fit a candidate, verify location and apply links, and assess each employer's product. Use for one-off shortlists or a job alert's research step. Don't use for résumé writing, job applications, or company news.

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 debug Python applications using AgentScope 2.x. Consult this skill for AgentScope APIs, agent tools, multi-agent orchestration, and agent service deployment.

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 AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems integration. Use when building distributed AI systems, multi-agent coordination, or advanced vector search 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。

Applies the analytical and therapeutic philosophy of Ludwig Wittgenstein, 20th-century philosopher of language (Tractatus / Philosophical Investigations). Use this skill when the user is stuck in conceptual confusion, debating semantics, trapped by abstract definitions, or trying to solve a problem that is actually just a linguistic misunderstanding. Trigger this for topics involving the limits of language, meaning as use, logical clarification, or when the user is over-theorizing instead of looking at practical applications. It helps dissolve 'fly-bottle' traps by examining how words are actually used in context.

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。

Applies the reasoning, principles, and frameworks of Andrew Ng (machine learning pioneer, co-founder of Coursera and DeepLearning.AI, Stanford University, and former Google Brain lead). Use this skill whenever the user is navigating AI application development, agentic workflows, automation strategy, AI-native software engineering, or rapid prototyping. Trigger this skill when discussing career advice in the AI era, evaluating AI regulations, structuring machine learning projects, or deciding how to integrate AI into a business. It emphasizes task-based automation, data-centric ML, and driving the cost of proof-of-concepts to zero.

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 full-stack React applications using React Router's framework mode. Use when configuring routes, working with loaders and actions, handling forms, handling navigation, pending/optimistic UI, error boundaries, or working with react-router.config.ts or other react router conventions.

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 applications with React Router in Framework, Data, Declarative, and unstable RSC modes. Use when configuring routes, route modules, loaders, actions, forms, fetchers, navigation, pending UI, SSR/SPA/pre-rendering, middleware, URL params/search params, or React Router upgrades.

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 verifying a running application end-to-end through its real interface — a web UI, a CLI, or a TUI — by writing and executing agent-run "scenario cards" against a freshly built instance with falsifiable assertions. Trigger on "test it end to end", "prove the UI actually works", "write/run a scenario", or after a change touches a user-facing surface that unit tests can't fully cover. Not for unit tests, pure code review, or API-only checks.

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 tests for C#/.NET code - xUnit structure, NSubstitute or the repository's mocking library at ports, WebApplicationFactory for HTTP, Testcontainers Postgres for EF Core, FakeTimeProvider, test-first

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 A of a WinForms-to-Avalonia migration: inventory the legacy application, split responsibilities, capture command and state contracts, build a coverage matrix, and define acceptance evidence without implementing Avalonia UI. Use only in an explicit WinForms-to- Avalonia migration when behavior is undocumented or the orchestrator routes here. Generated artifacts must use the current repository's real paths, terminology, and capabilities.

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。