tavily

Performs web search and URL content extraction using the Tavily API.

1|Updated Jun 9, 2026
One-click install
npx skills add https://github.com/JEROME-PRAKASH-L/openclaw --skill tavily-jerome-prakash-l
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: tavily
Source: https://github.com/JEROME-PRAKASH-L/openclaw/tree/main/extensions/tavily/skills/tavily
Command: npx skills add https://github.com/JEROME-PRAKASH-L/openclaw --skill tavily-jerome-prakash-l

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Finding current information on the web and extracting clean content from specific URLs requires choosing the right search depth, filters, and extraction strategy, which is difficult to do manually. ## Core Features & Use Cases - Web Search: Run quick queries with web_search or fine-grained searches with tavily_search using depth, topic, domain, and time-range filters. - Content Extraction: Pull clean markdown from up to 20 URLs per request with tavily_extract, including JavaScript-rendered pages and query-focused chunking. - Use Case: Research a breaking news topic by running tavily_search with the news topic and a week time range, then extract full article content from the top URLs for a summarized briefing. ## Quick Start Use the tavily skill to search for the latest news on renewable energy policy and extract the content of the top three result URLs.

Frequently Asked Questions about tavily

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

FAQPage Schema
How do I search the web with Tavily?

Use web_search for straightforward queries with just a query string and result count. For more control, use tavily_search with parameters like search_depth, topic, time_range, and domain filters.

How do I extract content from a URL with Tavily?

Use tavily_extract with an array of up to 20 URLs. Start with basic extract depth and switch to advanced for JavaScript-rendered pages, tables, or dynamic content.

What is the difference between web_search and tavily_search?

web_search handles basic queries with no special options, while tavily_search adds depth control, topic selection (general, news, finance), domain filters, time ranges, and optional AI-generated answer summaries.

When should I use basic versus advanced search depth in Tavily?

Use basic depth for general-purpose queries since it is faster with high relevance. Use advanced depth when you need the highest relevance for precision tasks, specific facts, or detailed research, accepting slower response times.

What are the limits of Tavily content extraction?

Each tavily_extract request accepts a maximum of 20 URLs, so larger lists must be batched into multiple calls. Queries for tavily_search should stay under 400 characters for best results.