tavily-research

Name: tavily-research
Availability: InStock
Author: initializ

Submit research requests to the Tavily Research API and poll for completion.

186|10|Updated Feb 21, 2026

Search Tags:#research #analysis #web search #information gathering #tavily

Ready to run

npx skills add https://github.com/initializ/forge --skill tavily-research-initializ

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tavily-research
Source: https://github.com/initializ/forge/tree/main/forge-skills/local/embedded/tavily-research
Command: npx skills add https://github.com/initializ/forge --skill tavily-research-initializ

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires curl, jq, and includes scripts (resource) components.

What problem does it solve?

This Skill automates in-depth research on complex topics by leveraging the Tavily Research API, providing comprehensive reports that go beyond simple web searches.

Core Features & Use Cases

Deep Research Reports: Generates detailed reports (1000-3000 words) synthesizing information from multiple sources.
Asynchronous Workflow: Handles the two-step process of submitting a research request and then polling for its completion.
Use Case: Use this Skill to get a comprehensive analysis of the "impact of quantum computing on cryptography," receiving a detailed report that summarizes findings and lists all sources.

Quick Start

Submit a research request for the topic 'impact of quantum computing on cryptography'.

Frequently Asked Questions about tavily-research

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

FAQPage Schema

How do I generate a deep research report from multiple web sources?▼

To generate a deep research report, submit a research query to the Tavily Research API and poll for completion to retrieve a comprehensive 1000-3000 word synthesis of multiple sources.

Can I automate multi-source information gathering for complex topic analysis?▼

You can automate multi-source information gathering by submitting a research request to the Tavily API, which handles asynchronous execution to deliver thorough analyses ranging from quick overviews to detailed reports.

Do I need a Tavily API key to perform asynchronous web research?▼

Yes, a Tavily API key is required to authenticate your research requests and access the asynchronous polling workflow for retrieving your generated reports.

What is the difference between a standard web search and deep multi-source research?▼

Deep multi-source research synthesizes information from multiple sources into a comprehensive 1000-3000 word report, whereas a standard web search returns isolated links without analytical synthesis.

How does asynchronous polling work for long-running research tasks?▼

Asynchronous polling works by separating the research process into two steps: submitting the request and then repeatedly checking its status until the Tavily API completes the analysis and returns the report.

Are curl and jq required dependencies for running Tavily research requests?▼

Yes, curl and jq are required dependencies used by the scripts to submit HTTP requests to the Tavily API and parse the JSON responses during the asynchronous polling process.