Results for “data”

Extract public web data, search engine results, and structured data from platforms like Google, Amazon, and Zillow using HasData APIs.

Tests APIs for excessive data exposure where endpoints return more data than the client application needs, relying on the frontend to filter sensitive fields. Maps to OWASP API3:2023 Broken Object Property Level Authorization.

Design and review native DTOs in WordPress plugins without better-data, covering immutable data carriers, explicit hydration, strict coercion, WP_Error validation, sensitive-field handling, and layer boundaries.

Automates browser interactions for web testing, form filling, screenshots, and data extraction.

Pagination component for navigating through data pages. Invoke when user needs to implement pagination, page navigation, or data pagination controls in Naive UI.

Applies Schema.org structured data principles to guide decision-making, structure analysis, and improve search visibility outcomes.

Generate JSON-LD structured data for AEM Edge Delivery Services pages by analyzing page content and metadata to determine schema.org types, extract properties, and produce validated snippets for head.html or scripts.js.

Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.

Adds, fixes, and optimizes schema.org structured data (JSON-LD) for rich results, including validation and implementation guidance.

SWR data-fetching expert guidance. Use when building React apps with client-side data fetching, caching, revalidation, mutations, optimistic UI, pagination, or infinite loading using the SWR library.

Heatmap component for displaying calendar-style data visualization like GitHub contribution graphs. Invoke when user needs to visualize time-series data or activity patterns in Naive UI.

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

Build React interfaces with Material UI components, theming, styled engine, data grid, date pickers, and icons.

State-of-the-art data visualization for React/Next.js/TypeScript with Tailwind CSS. Creates compelling, tested, and accessible visualizations following Tufte principles and NYT Graphics standards. Activate on "data viz", "chart", "graph", "visualization", "dashboard", "plot", "Recharts", "Nivo", "D3". NOT for static images, print graphics, or basic HTML tables.

Provides command-line access to search, scraping, and structured web data from over 40 APIs including Google, Amazon, Yelp, and Zillow.

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

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

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.

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

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

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.

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

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

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

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.

Craft polished visual web artifacts — pages, dashboards, prototypes, slide decks, animations, UI mockups, and data visualizations — using HTML, CSS, JavaScript, and React.

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.