@0xkobold/pi-web

This Skill addresses the challenge of AI agents inefficiently accessing web content. In practical development, developers often need AI agents to search for real-time information, extract main text from webpages, or conduct in-depth research. However, directly calling APIs often fails to handle dynamic pages, anti-scraping measures, or complex content structures.

Usage is straightforward: after installation, simply instruct the AI agent via natural language with search keywords or target URLs. It automatically selects either the DuckDuckGo or SearX search engine and employs a cascading retrieval strategy: first attempting fast parsing (HTML parsing), falling back to readability extraction if that fails, and finally using Playwright to render dynamic pages, ensuring maximum success rate.

It is ideal for teams or individuals needing to integrate search capabilities into AI agents (such as Claude, Cursor, etc.). This is especially valuable for developers, data analysts, and content creators who have already built agent workflows but are constrained by data acquisition bottlenecks, as it can significantly boost information gathering efficiency.

We recommend using this tool consistently for tasks like regularly tracking industry trends, scraping competitor information, or conducting literature research. Note that it primarily focuses on text content extraction and offers limited support for multimedia resources like images and videos. Additionally, the Playwright mode requires installing additional browser dependencies, which need to be pre-configured when deploying to containers or servers.