web_research

Navigate live web pages and extract cited evidence for research questions.

2|Updated Mar 13, 2026
One-click install
npx skills add https://github.com/mammut001/pipi-shrimp-agent --skill web-research-mammut001
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: web_research
Source: https://github.com/mammut001/pipi-shrimp-agent/tree/main/src/skills/web_research
Command: npx skills add https://github.com/mammut001/pipi-shrimp-agent --skill web-research-mammut001

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Research a topic in a live browser using PageState-based navigation, extraction, and evidence synthesis.

Core Features & Use Cases

  • Live web exploration: Navigate to target pages and perform on-demand information gathering.
  • Structured extraction & evidence synthesis: Collect content from page state outputs and compile grounded conclusions with citations.
  • Use Case: If you need current specs from competing products, compare them and summarize with sources.

Quick Start

Research a topic live on the web and present a concise, evidence-backed answer with sources.

Frequently Asked Questions about web_research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I research live web data and get evidence-backed answers?▼

To research live web data, you navigate live pages using a PageState-based workflow to extract content and compile grounded conclusions with citations. This enables real-time information gathering and evidence synthesis directly from target sources.

Can I compare product specs across multiple live web sources?▼

Yes, you can compare product specs across sources by navigating to target pages, extracting structured content from page state outputs, and synthesizing the data into a concise comparison with citations for each spec.

What is the best way to summarize current events with citations from the web?▼

The best way to summarize current events with citations is using live web exploration to gather real-time data, then compiling the extracted page content into a synthesized summary that explicitly references the source pages.

Does this web research approach support browser navigation and page inspection?▼

Yes, this approach supports browser navigation, page-state inspection, click and type actions, and content extraction. These actions are required to interact with live pages and gather evidence-backed information.

How does a PageState-based workflow extract content for research?▼

A PageState-based workflow extracts content by inspecting the state of a live page after navigation or input actions, collecting the rendered content, and compiling it into evidence-backed conclusions with source citations.

Are there limitations when extracting live data for current-events questions?▼

Extraction of live data for current-events questions depends on navigating target pages and inspecting page states, so limitations arise if pages block browser access or require complex interactions beyond standard click and type actions.