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research

Execute search queries, fetch article content, and synthesize findings into structured summaries.

1|Updated Feb 7, 2026
Search Tags:#summarization#data extraction#research#web search#information gathering#synthesis
One-click install
npx skills add https://github.com/thirteen37/Krill --skill research-thirteen37
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/thirteen37/Krill/tree/main/prototypes/example_skills/research
Command: npx skills add https://github.com/thirteen37/Krill --skill research-thirteen37

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill eliminates the manual effort of searching, browsing, and synthesizing information from multiple web sources, providing a consolidated summary of complex topics.

Core Features & Use Cases

  • Multi-Query Search: Automatically executes multiple search queries to ensure broad coverage of a topic.
  • Automated Content Extraction: Fetches and parses content from multiple URLs, filtering for relevant information.
  • Use Case: Use this skill to investigate a new technology trend, compare product features, or gather background information for a project without manually opening dozens of browser tabs.

Quick Start

Ask the research skill to investigate the latest developments in renewable energy storage and summarize the findings.

Frequently Asked Questions about research

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

FAQPage Schema
How do I automate web research and synthesize findings from multiple sources?▼

This skill automates web research by executing multi-query searches, fetching and parsing relevant article content from multiple URLs, and consolidating findings into a structured summary without manual browsing.

Can I use automated information gathering for competitive analysis on a new technology trend?▼

Automated information gathering supports competitive analysis and technology trend investigation by executing broad multi-query searches, fetching article content, and synthesizing extracted data into actionable background insights.

What's the best way to summarize complex topics from multiple web search queries?▼

Summarizing complex topics is best handled through automated multi-query search and content extraction, which fetches relevant URLs, parses article content, and synthesizes filtered information into a structured, consolidated summary.

Does automated web research require manual filtering of search results?▼

Automated web research does not require manual filtering; it automatically executes search queries, fetches content from multiple URLs, and filters for relevant information internally before synthesizing the data into a structured summary.

Are there limitations to automated content extraction when gathering background information?▼

Automated content extraction requires web search and fetching capabilities to process online data, and may face limitations with sites that block automated access, restricting the breadth of information gathering and synthesis for background research.

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