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A toolkit for web data extraction and search intent analysis. Includes patterns for handling lazy-loaded content and LLM prompts for classifying search keywords.
Passed 13 of 23 test cases with the skill, and 8 of 23 without it.
and 4 more in the full report
6 fixed7 passed either way9 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 6 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the standard trend-to-page workflow, what specific content page type is assigned to keywords categorized with transactional intent?
| Checked | Without skill | With skill |
|---|---|---|
| Specifies creating tool pages for transactional intent. | Missed | Passed |
The instructions your model reads when the skill loads.
This skill provides reusable patterns and prompts for two common SEO/data tasks:
resources/scraping_patterns.md: A guide with code snippets on how to handle common web scraping challenges using Playwright/Puppeteer.resources/intent_prompts.md: Ready-to-use LLM prompts for classifying search keywords.Review resources/scraping_patterns.md when you need to extract data from:
loading="lazy", IntersectionObserver).<Image> component (srcset, blur placeholders).Copy the prompts from resources/intent_prompts.md and use them with your LLM of choice (GPT-4, DeepSeek, Claude) to classify keywords from Google Trends, SEMrush, or Ahrefs.
test cases passed, vs 8 / 23 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.