web▌

$21

Web scraping and data extraction using Python tools for static, dynamic, and large-scale content. \n \n Supports static sites via requests and BeautifulSoup, dynamic content via Selenium and Playwright, and large-scale extraction via Scrapy and firecrawl \n Includes specialized tools for AI-powered extraction (jina), structured queries (agentQL), and complex automation workflows (multion) \n Built-in guidance on rate limiting, robots.txt compliance, error handling, session management, and pagina

Reliable web scraping with cascading fallbacks, anti-bot bypass, and poison pill detection. \n \n Implements a scraping cascade architecture with four strategies: trafilatura for fast article extraction, requests with rotating user agents, Playwright with stealth mode for JavaScript-heavy sites, and async Playwright for Jupyter notebooks \n Includes poison pill detection to identify paywalls, CAPTCHAs, rate limits, Cloudflare blocks, and login walls using pattern matching and status code analysi

Search the web and extract content via inference.sh CLI.

Anti-AI-slop design skill for creating and auditing web pages.

Web toolkit powered by Exa for scientific and technical content search and URL extraction.

This skill provides Web Audio API expertise for creating audio feedback, voice processing, and sound effects in the JARVIS AI Assistant.

Orchestrates multi-source web research by delegating to subagents, synthesizing findings, and producing cited reports. \n \n Breaks research questions into 2–5 distinct subtopics, creates a research plan file, and spawns up to 3 subagents in parallel for efficient investigation \n Each subagent performs 3–5 web searches per subtopic and writes findings to local files with key facts, quotes, and source URLs \n Synthesizes results by reading local findings files, integrating insights across subtop

Automated UI code review against Vercel's Web Interface Guidelines. \n \n Fetches the latest guidelines from the official Vercel repository before each review to ensure current rule compliance \n Analyzes React, Vue, Svelte, HTML, CSS, and JavaScript/TypeScript files against all fetched rules \n Reports violations in file:line format with actionable feedback on how to fix each issue \n Supports file paths and glob patterns for flexible scope selection across projects \n

Select, pair, and implement typefaces for web projects with readability and performance as core priorities. \n \n Covers seven core areas: reading mechanics and how eyes process text, evaluating typefaces for screen rendering, choosing faces by purpose rather than aesthetics, pairing strategies for clear contrast, optimal measurements (font size, line length, line height), building visual hierarchies, and responsive typography with efficient font loading \n Emphasizes the \"clear goblet\" princi