tavily-research

Name: tavily-research
Availability: InStock
Author: collat-labs

Run Tavily CLI deep research and return citation-grounded reports.

1|Updated Apr 25, 2026

Search Tags:#citations #web research #market analysis #literature review #deep synthesis #comparative research #tavily cli

Ready to run

npx skills add https://github.com/collat-labs/collat --skill tavily-research-collat-labs

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: tavily-research
Source: https://github.com/collat-labs/collat/tree/main/.claude/skills/tavily-research
Command: npx skills add https://github.com/collat-labs/collat --skill tavily-research-collat-labs

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires tvly.

What problem does it solve?

It solves the problem of producing trustworthy, multi-source research quickly by synthesizing web findings into a structured, citation-backed report.

Core Features & Use Cases

Comprehensive AI-powered research: gathers sources, analyzes them, and writes a synthesized report grounded in web results.
Citation support: returns outputs with explicit citations so you can verify claims.
Comparison and market analysis ready: supports tasks like competitive landscapes, market reports, and literature-style reviews.
Use case: Compare how different AI code assistants approach context, tool use, and evaluation by running a single research query and using the cited report to guide product or engineering decisions.

Quick Start

Run a deep, cited synthesis by giving the instruction: conduct comprehensive research on "competitive landscape of AI code assistants" and include citations.

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 cited web research report for a market analysis?▼

To generate a cited web research report, you run a deep synthesis workflow on your query that gathers web sources, analyzes them, and writes a structured report with explicit citations for verification. This grounds market analysis in trustworthy sources.

What is deep synthesis for multi-source literature reviews?▼

Deep synthesis for literature reviews is the process of aggregating multiple web sources, analyzing the collective findings, and producing a comprehensive, citation-backed report rather than returning quick facts or isolated summaries.

Does the tvly tool support comparative research with explicit citations?▼

Yes, the tvly tool supports comparative research by running the Tavily CLI deep research workflow, which gathers and analyzes web sources to return structured output grounded with explicit citations for claims.

When do I need deep research instead of quick web facts?▼

You need deep research instead of quick web facts when your task requires multi-source synthesis, such as competitive landscapes, market reports, or literature-style reviews where quick facts are insufficient and claims require explicit citations.

Can I use this for competitive landscape analysis and product decisions?▼

Yes, you can use this for competitive landscape analysis by running a single research query. It produces a cited report comparing approaches like context and tool use, which you can use to guide product or engineering decisions.