The agent could not fully understand skillet.md because the website is a JavaScript-heavy single-page application that does not render in static HTML fetches. The agent assembled a partial understanding from page metadata, search results mentioning competing skills marketplaces, and prior knowledge—concluding Skillet is a skills discovery and sync platform for AI coding assistants. However, critical information including pricing, detailed features, integration steps, and team/company details remained unavailable, making this a significantly incomplete answer to the user's request.

• ›All direct fetches of skillet.md (steps [1], [3], [4], [14], [15]) returned only Next.js skeleton HTML with no readable content, forcing the agent to rely entirely on search results and prior knowledge rather than the site itself.
• ›Search results (steps [17], [18], [20], [21], [25], [27]) mention competing platforms and Claude/Cursor skills ecosystems but do not contain specific information about Skillet's pricing, team, or differentiation—the agent had to infer Skillet's purpose from domain knowledge and tagline fragments found in metadata.
• ›The agent explicitly acknowledged three critical gaps: pricing (unavailable), specific features (not rendered), and company/team information (not found). The site does not publish pricing, docs, or feature details in a machine-readable or static form.
• ›The agent relied on prior knowledge (60% sourced) and inferred taglines like 'Summon anyone's genius' and 'keep every agent in sync' from fragments, rather than reading full marketing copy or documentation from the live site.