「soft」の検索結果

Cozy cafe-inspired interface with warm tones, soft typography, and clean layouts for a relaxed browsing experience.

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。

Chinese-market SaaS pricing page template — soft sky-blue glass-morphism, 4-tier card grid with one elevated "recommended" tier, monthly/annual toggle, FAQ accordion, ¥ pricing with Inter numerals, careful CJK linebreaking, ICP filing footer.

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。

Modular grid layout with card-like blocks, clear hierarchy, soft spacing, and subtle visual contrast for organized, scannable interfaces.

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 an auditable Markdown report for any uploaded Microsoft Excel (.xlsx) or CSV files in an Openrind Shell sandbox.

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 precise, production-grade enterprise UI — dashboards, admin panels, SaaS interfaces, and data-heavy applications. Use this skill for professional software interfaces that need Jony Ive-level craft: clean, minimal, functional, with intentional personality. Do NOT use for creative landing pages, marketing sites, or experimental/artistic frontends.

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 adding new OAuth-based integrations to Fabric. Use when implementing OAuth providers like Microsoft Teams, GitHub, Google Drive, Slack, or similar services that need OAuth 2.0 authentication for user data 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。

Process, parse, create, and manipulate Microsoft Word (.docx) documents programmatically using libraries like docx or mammoth.js for document generation and data extraction. Use when generating Word documents from templates, extracting text and formatting from .docx files, creating reports and invoices, parsing resumes and forms, converting Word to HTML, creating mail merge documents, or automating document workflows.

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。

Set up and maintain continuous integration and continuous deployment pipelines with GitHub Actions, GitLab CI, Jenkins, or similar tools to automate testing, building, and deployment. Use when configuring automated builds, setting up test automation, implementing deployment automation, creating release workflows, managing environment deployments, configuring build caching, implementing blue-green deployments, setting up rollback strategies, or automating the entire software delivery pipeline.

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When the user needs marketing ideas, inspiration, or strategies for their SaaS or software product. Also use when the user asks for 'marketing ideas,' 'growth ideas,' 'how to market,' 'marketing strategies,' 'marketing tactics,' 'ways to promote,' 'ideas to grow,' 'what else can I try,' 'I don't know how to market this,' 'brainstorm marketing,' or 'what marketing should I do.' Use this as a starting point whenever someone is stuck or looking for inspiration on how to grow. For specific channel execution, see the relevant skill (paid-ads, social-content, email-sequence, etc.).

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 a "product description" repo for a software product — a set of prose documents describing, from the outside in, what the user sees, what they can do, and exactly what happens when they do it, written from the code and tests, then verified against the running product and triaged into a bug list. Works for any product with a user (canvas editors, web apps, CLIs, chat products, mobile apps). Use when the user asks to "write a product description for X", "describe the user experience of X", "document how X behaves for the user", "make a behavior-spec repo", or wants a feature-by-feature, event-by-event account of an app's behavior rather than API docs. Also use to resume or extend an existing product description repo.

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。

Microsoft Pragmatic Rust Guidelines for implementing, reviewing, and documenting idiomatic Rust. Use when working on Rust APIs, error handling, unsafe code, concurrency, async code, performance, testing, documentation, or agent-facing 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。

This skill encodes Emil Kowalski's philosophy on UI polish, component design, animation decisions, and the invisible details that make software feel great.

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 when the user requests to generate, create, or improve documentation for code, APIs, libraries, repositories, or software projects. Supports README generation, API reference documentation, inline code comments, architecture documentation, changelog generation, and developer guides. Trigger on requests like "document this code", "create a README", "generate API docs", "write developer guide", or when analyzing codebases for documentation purposes.

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。

Azure Resource Manager SDK for Microsoft Playwright Testing in .NET.

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。

Azure Fabric Management SDK for Python. Use for managing Microsoft Fabric capacities and resources.

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。

Authenticate Java applications with Azure services using Microsoft Entra ID (Azure AD).

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。

Azure Identity SDK for .NET. Authentication library for Azure SDK clients using Microsoft Entra ID. Use for DefaultAzureCredential, managed identity, service principals, and developer credentials.

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 Playwright tests at scale with cloud-hosted browsers and integrated Azure portal reporting.

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 AI applications on Microsoft Foundry using the azure-ai-projects SDK.

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 software architect specializing in modern architecture

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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.

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。

Senior embedded software engineer specializing in firmware and driver development for ARM Cortex-M microcontrollers (Teensy, STM32, nRF52, SAMD).

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 persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.

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。

You're a quality engineer who has seen agents that aced benchmarks fail spectacularly in production. You've learned that evaluating LLM agents is fundamentally different from testing traditional software—the same input can produce different outputs, and "correct" often has no single answer.

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。