research

Research topics via the Tavily API and return cited, structured results.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/fancive/claude-skills --skill research-fancive
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/fancive/claude-skills/tree/main/skills/research
Command: npx skills add https://github.com/fancive/claude-skills --skill research-fancive

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Research tasks require timely, credible sources and structured results. This skill automates web research with citations via the Tavily API, saving time and improving accuracy.

Core Features & Use Cases

  • Citation-rich research: Retrieve topic summaries with sources, dates, and URLs.
  • Structured outputs: Produce machine-readable results with an optional schema.
  • Versatile use cases: Market trend analysis, competitive scans, and literature overviews.

Quick Start

Ask it to research a topic and return a cited report.

Frequently Asked Questions about research

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

FAQPage Schema
How do I get citation-backed web research for a specific topic?

To get citation-backed web research, this skill uses the Tavily API to retrieve current information on specified topics, returning structured results with summaries, source URLs, and dates.

Can I generate structured data outputs for market trend analysis?

Yes, you can generate structured data for market trend analysis by requesting research with an optional schema, producing machine-readable results alongside summaries and sources via the Tavily API.

Do I need a Tavily API key to investigate topics and retrieve latest information?

Yes, you need a Tavily API key to investigate topics, as the skill directly queries the Tavily API to fetch the latest information and compile cited reports.

What's the best way to automate competitive scans and literature overviews with citations?

The best way to automate competitive scans and literature overviews is to submit topic research requests, which the skill processes through the Tavily API to deliver cited summaries.

Does this research tool work with curl and jq?

Yes, the research tool works with curl and jq, using these dependencies as scripts to interact with the Tavily API and parse the returned JSON data into structured outputs.

What are the limitations of using Tavily API for web research?

A limitation of using the Tavily API for web research is that output accuracy depends on the API's current index, meaning it provides summaries and sources rather than deep, full-text document parsing.