Results for “da”

Implement schema.org structured data markup to help search engines understand content and enable rich results in search.

Analyzes a codebase with multiple agents and builds an interactive React knowledge graph dashboard for onboarding and visual architecture exploration.

Build interfaces with UnoCSS using semantic tokens, dark mode parity, and design polish for devtools and landing pages.

Transforms ideas, files, folders, URLs, or exported data into polished single-file HTML pages with auto-selected design systems.

Detects, validates, and generates Schema.org structured data, preferring JSON-LD, with guidance on supported types and common errors.

Provides reusable React and Next.js patterns for component composition, state management, data fetching, and performance optimization.

Plan complex Blazor UI features by decomposing them into focused, composable components with clear data flow and implementation order.

Automate browser tasks, scrape websites, fill forms, capture screenshots, and extract structured data from web pages using Playwright.

Provides patterns for hydration safety, performance, route rules, lazy loading, and SSR-safe data fetching in Nuxt 4 apps.

Fetches up-to-date documentation for libraries, frameworks, and APIs via the Context7 MCP server instead of relying on training data.

Convert per-page styled HTML prototypes into Edge Delivery Services blocks and content pages, then deploy via DA.

Implements HTML5 drag-and-drop in Lightning Web Components, covering dataTransfer usage, drop targets, visual states, and keyboard accessibility.

Expert knowledge for Tailwind CSS styling and component patternsUse when "tailwind, tailwindcss, utility classes, responsive design, dark mode, styling, css classes, tailwind, css, styling, ui, responsive, dark-mode, components" mentioned.

Provides practical patterns for using fp-ts with React, including hooks, state management, form validation, and data fetching.

Tailwind CSS v4 — utility-first styling, responsive design, dark mode, and component extraction. Use when building or reviewing Tailwind-based UIs, setting up Tailwind v4, or designing responsive or dark-mode styling.

Use when implementing globe.gl (Globe.GL) for 3D globe data visualization with WebGL/ThreeJS, including setup, data layers (points, arcs, polygons, labels), and integration patterns in plain HTML or React.

Use for writing, reviewing, debugging, or testing publication-quality display tables in Python with Great Tables, including GT construction, stub and row groups, headers and spanners, labels, numeric/date formatting, targeted styles, footnotes/source notes, HTML/LaTeX/image export, and render verification. Do not use for dataframe computation, interactive data grids, charts, or plain console tables.

Implement, audit, and validate JSON-LD structured data to earn rich results in Google and improve AI search visibility.

Improves search engine visibility through technical SEO, on-page optimization, and structured data, following Lighthouse audits and Google guidelines.

Provides guidance on using the shadcn/ui component library, including installation, theming, and usage of components like forms and data tables.

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.

Provides idiomatic React 18/19 patterns for hooks, server/client components, Suspense, error boundaries, forms, data fetching, state management, and accessibility-first composition.

Add light/dark mode, custom branded themes, and runtime theme switching to .NET MAUI apps using AppThemeBinding, ResourceDictionary swapping, and system theme detection APIs.

Implement and debug network requests, API calls, and data fetching in Expo apps using fetch, React Query, SWR, and Expo Router loaders.

Create polished, validated architecture, workflow, sequence, data-flow, and lifecycle/state diagrams as explorable standalone HTML with inline SVG, dark/light themes, optional trace motion, and PNG/JPEG/WebP/SVG/WebM export. Accept plain-language requirements or pasted Mermaid flowchart, sequenceDiagram, and stateDiagram input; inspect repository evidence when the diagram must reflect real code. Use when the user asks to visualize system architecture, infrastructure, cloud/security/network topology, technical workflows, API call sequences, request lifecycles, data pipelines, ETL/ELT, data lineage, state machines, or to convert/beautify Mermaid.

Enforce consistent frontend UX patterns for Ethereum dApps: onchain buttons, four-state connect flows, token approval sequences, address display, USD values, and RPC configuration.

Audits and improves search visibility through technical SEO, on-page optimization, structured data, Core Web Vitals, and content strategy.

Provides backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

Practical patterns for using fp-ts with React, covering hooks, state, forms, and data fetching for React 18/19 and Next.js 14/15.

Extracts seller or merchant profile data from marketplace platform seller pages, including name, rating, review count, feedback percentage, joined date, and return policy.

Extracts complete metadata from a TikTok video page by reading SSR-embedded data, including author profile, engagement stats, music info, hashtags, and slideshow images.

Practical patterns for using fp-ts with React, covering hooks, state management, form validation, and data fetching for React 18/19 and Next.js 14/15.

Container/presentational component split — "smart" containers connect to the store, fetch data, and orchestrate loading/error/empty states; "dumb" children just render props. Use when extracting data logic from views, introducing custom hooks, or reviewing `*Container` components.