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tavily-cli

Perform LLM-optimized web search, URL mapping, and content extraction with JSON/file output.

Updated May 3, 2026
Search Tags:#web search#citations#web crawling#content extraction#deep research#url discovery#llm optimized json
One-click install
npx skills add https://github.com/LuisElPoti/launch-signal-dashboard --skill tavily-cli-luiselpoti
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tavily-cli
Source: https://github.com/LuisElPoti/launch-signal-dashboard/tree/main/.agents/skills/tavily-cli
Command: npx skills add https://github.com/LuisElPoti/launch-signal-dashboard --skill tavily-cli-luiselpoti

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Tavily CLI removes the manual effort of finding the right sources and extracting usable content from the web, so you can quickly research and reference information.

Core Features & Use Cases

  • Web search and discovery: Find relevant pages for a topic, company, or question when you don’t have a specific URL.
  • Content extraction from a URL: Pull page text in a format optimized for LLM consumption when you already know where to look.
  • Crawling, URL mapping, and deep research: Discover subpages at scale and synthesize multi-source research with citations for complex questions.

Quick Start

Use the tavily-cli skill to search the web for “startup X funding round announcement” and return the most relevant cited sources.

Frequently Asked Questions about tavily-cli

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

FAQPage Schema
How do I perform web search and extract content with citations for research?▼

Web search and content extraction with citations is performed by querying relevant pages, pulling LLM-optimized text, and synthesizing sources. The tavily-cli skill automates this retrieval and mapping process to provide referenced answers.

What's the best way to extract web page text optimized for LLM consumption?▼

To extract web page text optimized for LLM consumption, provide a specific URL to the content extraction feature. It retrieves the page text in a structured format designed for downstream agent workflows and JSON output.

Do I need an API key to crawl documentation sections and map URLs?▼

Crawling documentation sections and mapping URLs requires an authenticated Tavily API key. You must also install the Tavily CLI tool before executing web crawling or subpage discovery tasks at scale.

How does deep multi-source synthesis handle complex research questions?▼

Deep multi-source synthesis handles complex research questions by discovering relevant pages and extracting content from multiple URLs. It aggregates and synthesizes the retrieved information to generate answers with reliable citations.

Can I output web crawling results as JSON for downstream agent workflows?▼

Web crawling and search results can be output as JSON or files for downstream agent workflows. This LLM-optimized format ensures that extracted content and discovered URLs integrate smoothly into automated pipelines.

What are the limitations of using web search for URL discovery and content extraction?▼

Limitations of web search for URL discovery include relying on external page structures for content extraction accuracy. Deep research and crawling subpages at scale also depend on the authenticated Tavily API key limits.

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