Extract compact content from JavaScript-heavy SPAs and virtualized feeds.
npx skills add https://github.com/meiiie/neko-core --skill web-reading
Please help me install this Agent Skill. Skill: web-reading Source: https://github.com/meiiie/neko-core/tree/main/skills/web-reading Command: npx skills add https://github.com/meiiie/neko-core --skill web-reading
This skill eliminates the massive time and token waste caused by flailing when scraping heavy JavaScript single-page applications (SPAs) and virtualized feeds, where naive DOM scraping returns empty results, pulls 400K+ character blobs, or scroll-churning destroys data, turning a 30-60 second read into a 10-15 minute token-heavy failure.
Use the web-reading skill to extract the latest 3 public posts from the X/Twitter profile for Neko Core.
High-intent search queries and answers about installing and using this skill.
To extract content from JavaScript single-page applications without empty results, use prioritized extraction workflows like markdown extraction, accessibility snapshots, and compact JavaScript evaluation. These methods bypass failed DOM scraping attempts and return compact, accurate page content efficiently.
The best way to scrape virtualized feeds is to grab all currently rendered content in a single pass. This approach prevents scroll-churn from unmounting older items and includes anti-thrashing guardrails to stop chasing arbitrary item counts, ensuring efficient feed extraction.
Yes, you can extract markdown from public social media platforms like X/Twitter, Facebook, LinkedIn, Instagram, Reddit, and Xiaohongshu. The skill uses SPA-to-markdown rendering scripts and routing to deliver clean, compact content without wasting tokens on failed selector attempts.
Yes, web scraping with accessibility snapshots reduces token usage for static articles and documentation pages. The extraction process pulls only needed fields at the source to avoid bloated outputs, stopping after two consecutive failed attempts to prevent token-heavy extraction failures.
Naive DOM scraping returns 400K character blobs on heavy SPAs because it lacks prioritized extraction strategies and anti-thrashing guardrails. Without SPA-to-markdown rendering or compact JavaScript evaluation, scraping attempts pull obfuscated and bloated content instead of clean text.
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