「ble」の検索結果

Choose the narrowest reliable browser surface across Codex Browser, signed-in Chrome, Playwright CLI, and platform scripts. Use for browser automation, logged-in workflows, UI inspection, screenshots, form filling, publish previews, or frontend QA.

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。

Handles npm registry and account tasks: npm whoami, package availability, reserving names, publishing, org checks, and auth debugging, with 1Password and tmux for credentials. Use when publishing to npm or diagnosing npm login problems.

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。

Diagnoses and fixes Debian Linux problems with apt, systemd, and AppArmor-aware guidance. Use when a Debian system has package, service, boot, or permission 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。

Diagnoses and fixes Arch Linux problems with pacman, systemd, and rolling-release practices. Use when an Arch system has package, update, boot, or service 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。

Iterate on a PR until actionable CI passes and high/medium review feedback is addressed. Use for PR CI failures, review feedback, or green-check loops; do not wait for human approval, draft status, or merge gates.

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 pragmatic CI/CD pipelines from detected project stack signals — fast baseline generation, repeatable checks, environment-aware deployment stages. Use when setting up CI for a new project, refactoring existing pipelines, or standardizing deployment workflows across multiple repos.

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。

Diagnoses and fixes Fedora Linux problems with Fedora tooling: dnf, systemd, journalctl, and SELinux-aware guidance. Use when a Fedora system has package, service, boot, or permission 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。

Enable code intelligence (go-to-definition, find-references, hover, type info) for any programming language by installing and configuring an LSP server for Copilot CLI. Detects the OS, installs the right server, and generates the JSON configuration (user-level or repo-level). Use when you need deeper code understanding and no LSP server is configured, or when the user asks to set up, install, or configure an LSP server.

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-level Windows batch file (.bat/.cmd) skill for writing, debugging, and maintaining CMD scripts. Use when asked to "create a batch file", "write a .bat script", "automate a Windows task", "CMD scripting", "batch automation", "scheduled task script", "Windows shell script", or when working with .bat/.cmd files in the workspace. Covers cmd.exe syntax, environment variables, control flow, string processing, error handling, and integration with system 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。

UI/UX design intelligence for web and mobile. Includes 50+ styles, 161 color palettes, 57 font pairings, 161 product types, 99 UX guidelines, and 25 chart types across 10 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, and HTML/CSS). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, and check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, and mobile app. Elements: button, modal, navbar, sidebar, card, table, form, and chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, and flat design. Topics: color systems, accessibility, animation, layout, typography, font pairing, spacing, interaction states, shadow, and gradient. Integrations: shadcn/ui MCP for component search and examples. Use when designing, building, or reviewing UI for web or mobile apps.

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, alter, and validate Snowflake semantic views using Snowflake CLI (snow). Use when asked to build or troubleshoot semantic views/semantic layer definitions with CREATE/ALTER SEMANTIC VIEW, to validate semantic-view DDL against Snowflake via CLI, or to guide Snowflake CLI installation and connection setup.

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 three radically distinct, on-trend brand concepts for any app or product and present them as a single no-scroll hero webpage — a bento "brand book" (logo + tagline, in-app screen, out-of-home, merch, palette, type, voice) that assembles itself with a staggered pop on every toggle. Grounded in 2024-2026 design trends, not safe defaults. Triggers: "brand kit", "brand book", "brand concepts", "show me a few directions", "make it look like an agency did it", "build a brand for my app".

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 Slang shaders, shader modules, HLSL-compatible GPU code, graphics pipelines, compute shaders, tessellation, ray tracing, parameter blocks, generics, interfaces, capabilities, cross-compilation, shader optimization, shader review, or C++ engine integration for Slang. Trigger on any mention of Slang, .slang files, slangc, SPIR-V from Slang, Slang modules, [shader("compute")], [shader("vertex")], or requests to write/review/refactor shader code with modern language features. Also trigger for Slang-to-HLSL/GLSL/Metal/CUDA cross-compile questions, or when the user says "shader" alongside "generics", "interfaces", "parameter blocks", "autodiff", or "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。

Comprehensive guide for creating professional UI/UX designs in Penpot using MCP tools. Use this skill when: (1) Creating new UI/UX designs for web, mobile, or desktop applications, (2) Building design systems with components and tokens, (3) Designing dashboards, forms, navigation, or landing pages, (4) Applying accessibility standards and best practices, (5) Following platform guidelines (iOS, Android, Material Design), (6) Reviewing or improving existing Penpot designs for usability. Triggers: "design a UI", "create interface", "build layout", "design dashboard", "create form", "design landing page", "make it accessible", "design system", "component library".

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 architecture, component specifications, and slide generation. Three-layer tokens (primitive→semantic→component), CSS variables, spacing/typography scales, component specs, strategic slide creation. Use for design tokens, systematic design, brand-compliant presentations.

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。

Comprehensive design skill: brand identity, design tokens, UI styling, logo generation (55 styles, Gemini, Atlas Cloud, or MuAPI AI), corporate identity program (50 deliverables, CIP mockups), HTML presentations (Chart.js), banner design (22 styles, social/ads/web/print), icon design (15 styles, SVG, Gemini 3.1 Pro), social photos (HTML→screenshot, multi-platform). Actions: design logo, create CIP, generate mockups, build slides, design banner, generate icon, create social photos, social media images, brand identity, design system. Platforms: Facebook, Twitter, LinkedIn, YouTube, Instagram, Pinterest, TikTok, Threads, Google Ads. Use for brand, logo, icon, banner, slide, or social-image design 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。

Designs, critiques, audits, and polishes frontend interfaces — websites, landing pages, dashboards, components, onboarding, and empty states — after loading the project's PRODUCT.md and DESIGN.md context. Use when the user wants to design, redesign, review, or improve a UI.

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 for using the Microsoft Fluent UI Blazor component library (Microsoft.FluentUI.AspNetCore.Components NuGet package) in Blazor applications. Use this when the user is building a Blazor app with Fluent UI components, setting up the library, using FluentUI components like FluentButton, FluentDataGrid, FluentDialog, FluentToast, FluentNavMenu, FluentTextField, FluentSelect, FluentAutocomplete, FluentDesignTheme, or any component prefixed with "Fluent". Also use when troubleshooting missing providers, JS interop issues, or theming.

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 structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and PostgreSQL as actionable bug reports with severity, root cause, and remediation steps.

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。

Runs an 11-step data cleaning and variable screening pipeline for pre-loan credit risk models: sample analysis, OOS split, missing-rate, IV, PSI, and correlation filters. Use when preparing raw credit data for scorecard or default-prediction modeling.

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。

This skill should be used when the user asks to "diagnose context problems", "fix lost-in-middle issues", "debug agent failures", "understand context poisoning", or mentions context degradation, attention patterns, context clash, context confusion, or agent performance degradation. Provides patterns for recognizing and mitigating context failures.

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 designing a new relational schema or auditing an existing one — normalization, keys and constraints, indexing strategy, and spotting modeling problems before they reach production.

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 Entity Framework Core — modeling entities and relationships, migrations, LINQ query performance, change tracking, N+1 problems, and connection and transaction handling.

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。

Migrates Oracle PL/SQL stored procedures to PostgreSQL PL/pgSQL. Translates Oracle-specific syntax, preserves method signatures and type-anchored parameters, leverages orafce where appropriate, and applies COLLATE "C" for Oracle-compatible text sorting. Use when converting Oracle stored procedures or functions to PostgreSQL equivalents during a database migration.

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。