「ml」の検索結果

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.

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专业级产品需求文档（PRD）生成器。自动生成包含 UML 用例模型、详细用例规格说明、数据字典、交互设计、UI 规范的完整 PRD。 Use when: 用户提到写PRD、写产品需求文档、产品设计、产品规划、新功能需求分析、用例分析、用例建模时触发。 NOT for: 已有完整需求文档的润色、代码生成、技术架构设计、数据分析报告。

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。

World-Class Risk Management Playbook. Use for: business continuity planning (BCP), disaster recovery (DR), scenario planning, fraud prevention & detection, reputational risk management, geopolitical risk assessment, insurance & risk transfer, crisis communication, enterprise risk management (ERM), risk registers, BIA, RTO/RPO, ISO 22301, ISO 31000, COSO ERM, NIST CSF, DORA, operational resilience, three lines of defence, risk appetite, internal controls, segregation of duties, synthetic identity fraud, deepfake fraud, AML/CFT, KYC, sanctions screening, social listening, vendor risk, geopolitical exposure mapping, parametric insurance, cyber insurance, D&O, KRIs, risk dashboards. Trigger when discussing ANY risk management, business continuity, disaster recovery, fraud prevention, reputational risk, geopolitical risk, insurance strategy, crisis management, operational resilience, or enterprise risk topic. If in doubt, use this skill.

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。

Publish content to X/Twitter, LinkedIn, WeChat Official Account, and Xiaohongshu with one command. Automatically adapts content format for each platform — threads for Twitter, professional articles for LinkedIn, HTML drafts for WeChat, emoji notes for Xiaohongshu. Triggers: publish content, social media, twitter post, linkedin post, wechat article, xiaohongshu note, cross-platform publish, multi-platform

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 ship software — code, implement, develop, API, backend, frontend, deploy, infrastructure, CI/CD, databases, cloud, mobile, AI/ML. The CTO office's broadest execution domain, applied with TDD discipline.

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。

Ingest raw sources into the structured wiki — "ingest", "add this to my wiki", new files in raw/, clippings, sources, ideas, nightly ingest. Produces pages with YAML frontmatter and a mandatory Counter-Arguments section.

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Block writes through filesystem junctions and symlinks — file write through .mxm-system or .claude junction, git commit through a junction, delete through a junction. Enforces the junction read-only rule so the real repo stays the source of truth.

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。

Creating an Azure DevOps work item or posting a comment with the obvious `az boards` command silently stores HTML that cannot be fixed afterward. Use this instead. Also covers reading a work item and transitioning its state. Trigger on "create ticket", "new work item", "comment on

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。

Czech typography rules for web development. Use when building web pages in Czech language, writing Czech content, or fixing typography issues in Czech text. Covers punctuation, dashes, quotes, numbers, units, non-breaking spaces, and HTML entities.

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 throwaway HTML or in-app prototype that answers one design question. Use when the user wants to try a state model or UI idea before committing, or says "mock it up", "prototype", "what should this look like".

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。

End-to-end skill for building, testing, linting, versioning, and publishing a production-grade Python library to PyPI. Covers all four build backends (setuptools+setuptools_scm, hatchling, flit, poetry), PEP 440 versioning, semantic versioning, dynamic git-tag versioning, OOP/SOLID design, type hints (PEP 484/526/544/561), Trusted Publishing (OIDC), and the full PyPA packaging flow. Use for: creating Python packages, pip-installable SDKs, CLI tools, framework plugins, pyproject.toml setup, py.typed, setuptools_scm, semver, mypy, pre-commit, GitHub Actions CI/CD, or PyPI publishing.

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 breadboard circuit mockups and visual diagrams using HTML5 Canvas drawing techniques. Use when asked to create circuit layouts, visualize electronic component placements, draw breadboard diagrams, mockup 6502 builds, generate retro computer schematics, or design vintage electronics projects. Supports 555 timers, W65C02S microprocessors, 28C256 EEPROMs, W65C22 VIA chips, 7400-series logic gates, LEDs, resistors, capacitors, switches, buttons, crystals, and wires.

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 skill for building web-based game engines and games using HTML5, Canvas, WebGL, and JavaScript. Use when asked to create games, build game engines, implement game physics, handle collision detection, set up game loops, manage sprites, add game controls, or work with 2D/3D rendering. Covers techniques for platformers, breakout-style games, maze games, tilemaps, audio, multiplayer via WebRTC, and publishing games.

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 configuring and managing GitHub Dependabot. Use this skill when users ask about creating or optimizing dependabot.yml files, managing Dependabot pull requests, configuring dependency update strategies, setting up grouped updates, monorepo patterns, multi-ecosystem groups, security update configuration, auto-triage rules, or any GitHub Advanced Security (GHAS) supply chain security topic related to Dependabot.

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。

Ensure that C# types are documented with XML comments and follow best practices for documentation.

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 GitHub Issue for feature request from specification file using feature_request.yml template.

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 GitHub Issues for unimplemented requirements from specification files using feature_request.yml template.

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。

Prepare for tomorrow's meetings and tasks. Pulls calendar from Outlook via WorkIQ, cross-references open tasks and workspace context, classifies meetings, detects conflicts and day-fit issues, finds learning and deep-work slots, and generates a structured HTML prep file with productivity recommendations.

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 validating Azure DevOps pipeline changes for the VS Code build. Covers queueing builds, checking build status, viewing logs, and iterating on pipeline YAML changes without waiting for full CI runs.

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。

AI-powered code review using CodeRabbit CLI and GitHub integration, covering local reviews, .coderabbit.yaml configuration, and automated review pipelines.

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。

Prompt and workflow for generating conventional commit messages using a structured XML format. Guides users to create standardized, descriptive commit messages in line with the Conventional Commits specification, including instructions, examples, and 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。

Expert guidance for developing cross-platform desktop applications with Avalonia UI framework. Use when building, debugging, or optimizing Avalonia apps including MVVM architecture, XAML design, data binding, styling, theming, custom controls, and cross-platform deployment for Windows, macOS, Linux, iOS, Android, and WebAssembly.

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。

Accessible HTML game development for screen readers (Zhengdu, NVDA, JAWS). Supports blind and low-vision users. Trigger keywords: accessible game development, a11y game, 无障碍游戏开发.

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。

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.

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。