tavily

Name: tavily
Availability: InStock
Author: wuv-dreamguide

Automate web searches and extract content from URLs with configurable parameters.

Updated Apr 21, 2026

Search Tags:#automation #web-search #information-retrieval #tavily #content-extraction #research-tools

Ready to run

npx skills add https://github.com/wuv-dreamguide/openclaw --skill tavily-wuv-dreamguide

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tavily
Source: https://github.com/wuv-dreamguide/openclaw/tree/main/extensions/tavily/skills/tavily
Command: npx skills add https://github.com/wuv-dreamguide/openclaw --skill tavily-wuv-dreamguide

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily provides integrated web search, content extraction, and research tooling to accelerate information gathering and knowledge construction for researchers, students, and teams needing rapid access to relevant sources.

Core Features & Use Cases

Web search: Quick queries to locate relevant pages without leaving the AI context.
Content extraction: Pulls and formats content from URLs for notes and summaries.
Use Case: Researchers can assemble literature bites from multiple sources and generate structured notes or summaries.

Quick Start

Ask Tavily to perform a targeted web search and extract relevant content from the resulting pages.

Frequently Asked Questions about tavily

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

FAQPage Schema

How do I automate web search and content extraction for a literature review?▼

Automating web search and content extraction for literature reviews is done by executing modular search queries and pulling formatted content from resulting URLs. This workflow accelerates information gathering and synthesis across multiple sources without leaving the AI context.

What's the best way to extract content from multiple URLs for research notes?▼

The best way to extract content from URLs for research notes is using targeted extraction tools that pull and format page content. This allows researchers to assemble literature bites from multiple sources and generate structured summaries rapidly.

Can I filter web search results by specific domains and time ranges?▼

Filtering web search results by specific domains and time ranges is supported through parameters like include_domains and time_range. This narrows web search queries to retrieve highly relevant pages for targeted information retrieval.

How does search depth affect information retrieval in automated web research?▼

Search depth affects information retrieval by determining the thoroughness of the web search query. A higher search_depth parameter returns more comprehensive results, which is critical for detailed research and literature reviews requiring extensive source coverage.

Are there limitations when pulling chunked results from web pages during content extraction?▼

Limitations when pulling chunked results from web pages depend on the extract_depth parameter configured for the URLs. Properly setting extraction depth ensures the content pulled from sources is formatted correctly for notes and summaries without losing context.