Crawl linked pages and organize findings into a structured README.
npx skills add https://github.com/ryanallen/product-studio --skill research-ryanallen
Please help me install this Agent Skill. Skill: research Source: https://github.com/ryanallen/product-studio/tree/main/.claude/skills/research Command: npx skills add https://github.com/ryanallen/product-studio --skill research-ryanallen
This Skill streamlines the process of gathering and organizing information from various user-provided inputs, making research more efficient and comprehensive.
Use the research skill to gather information from the provided URL and write findings into the project README.
High-intent search queries and answers about installing and using this skill.
To gather and synthesize information, provide tickets, URLs, text, images, or files as input. The skill crawls linked pages up to five levels deep, extracts relevant content, and organizes findings into a structured README file with grouped topics and a link tree.
Yes, web crawling extracts and organizes content from a competitor's website. By providing the site URL and key product names, the skill crawls up to five levels deep, extracts feature descriptions, and groups findings into a structured README for review.
The best way to aggregate data into a structured README is using multi-source ingestion. The skill converts mixed inputs like pasted text and images into crawlable links or raw content, then outputs distinct sections for input, sources, grouped topics, and a link tree.
Yes, content aggregation supports prioritizing specific topics. You can focus the research by specifying target topics, which ensures the extracted content and grouped findings are organized according to your specified priorities in the final README.
The limitation for web crawling depth is a maximum of five levels deep. This boundary ensures the information gathering process extracts relevant content from linked pages without excessive crawling, structuring the output into a README with grouped topics.
To handle various input types like tickets and images for research, the skill automatically converts them into crawlable links or raw content. This allows the web crawling and data synthesis process to extract and organize findings seamlessly.
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