tavily

Search the web and extract markdown-friendly text from URLs via Tavily.

Updated Apr 7, 2026
One-click install
npx skills add https://github.com/vut08905/openclaw-app --skill tavily-vut08905
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily
Source: https://github.com/vut08905/openclaw-app/tree/main/extensions/tavily/skills/tavily
Command: npx skills add https://github.com/vut08905/openclaw-app --skill tavily-vut08905

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Researchers often struggle to locate relevant sources and manually extract actionable content from web pages, leading to wasted time and inconsistent data.

Core Features & Use Cases

  • Quick web search with a single query using web_search.
  • Advanced search with depth, topic, domain controls, and time ranges via tavily_search.
  • Content extraction from URLs using tavily_extract to obtain clean, markdown-friendly text.

Quick Start

Search for a topic and extract relevant passages from the top results.

Frequently Asked Questions about tavily

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

FAQPage Schema
How do I extract clean text content from web URLs for research?

Web content extraction from URLs returns clean, markdown-friendly text using tavily_extract, allowing researchers to obtain relevant passages without manual copying. It streamlines gathering actionable data from specific web pages.

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

Advanced web search supports domain controls and time ranges via tavily_search, allowing researchers to restrict queries to specific websites and date intervals. This ensures results match academic or professional research scope.

What is the difference between quick web search and advanced search options?

Quick web search runs a single query using web_search, while advanced search via tavily_search offers depth settings, topic controls, domain filtering, and time ranges. Choose advanced when refining sources for academic workflows.

How do I summarize findings from multiple web search results?

Web search and extraction tools discover sources and extract relevant passages, enabling researchers to summarize findings efficiently. Apply advanced search options to gather targeted data, then extract content for summarization workflows.

Does web search support depth settings for academic research workflows?

Advanced web search via tavily_search includes depth settings that control result detail levels, supporting academic and professional research workflows. Researchers can adjust depth to match source discovery requirements.

Why does manual web content extraction lead to inconsistent research data?

Manual extraction causes wasted time and inconsistent data because researchers struggle to locate relevant sources and copy actionable content. Automated extraction via tavily_extract returns clean, markdown-friendly text for reliable workflows.