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exa-research

Manage asynchronous research tasks with configurable models and structured JSON outputs.

3|1|Updated Nov 28, 2025
Search Tags:#automation#research#analysis#web search#data collection#asynchronous#structured output
One-click install
npx skills add https://github.com/benjaminjackson/exa-skills --skill exa-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: exa-research
Source: https://github.com/benjaminjackson/exa-skills/tree/main/exa-research/skills/research
Command: npx skills add https://github.com/benjaminjackson/exa-skills --skill exa-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires exa-ai, and includes references (resource) components.

What problem does it solve?

This Skill tackles complex, multi-step research workflows that typically demand significant manual effort and time. It automates the process of gathering, analyzing, and synthesizing large amounts of information, allowing you to focus on insights rather than data collection.

Core Features & Use Cases

  • Asynchronous Research Tasks: Initiate complex research that runs in the background, freeing up your immediate attention.
  • Structured Output: Get synthesized research results in a structured format, making it easy to parse and integrate into other tools.
  • Multiple Research Models: Choose between fast, balanced, or pro models to optimize for speed, quality, or comprehensiveness.
  • Use Case: Imagine you need a comprehensive analysis of emerging AI trends, including structured data on key players and technologies. Use this Skill to launch an asynchronous research task that delivers a detailed, structured report.

Quick Start

Use the exa-research skill to start a research task to find the latest breakthroughs in quantum computing.

Frequently Asked Questions about exa-research

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

FAQPage Schema
How do I automate multi-step research workflows without manual effort?▼

Automate complex research workflows by initiating asynchronous tasks that run in the background, gathering and analyzing information across multiple steps. This Skill manages task coordination, tracks progress through status values (pending, in_progress, completed, failed), and produces structured outputs so you focus on insights rather than data collection.

Can I get structured JSON output from web search and data collection?▼

Yes. This Skill returns synthesized research results in structured JSON format with configurable output schemas, making it easy to parse and integrate findings into other tools. Schema-wrapped outputs support complex research requiring deep analysis and standardized data formats.

What's the difference between fast, balanced, and pro research models?▼

Choose research models based on your priorities: fast optimizes for speed, balanced provides quality and responsiveness, and pro delivers comprehensive analysis. Model selection is configurable, allowing you to adjust trade-offs between execution time and result depth for each research task.

How do I track and coordinate asynchronous research tasks across multiple models?▼

This Skill manages asynchronous research task coordination by accepting initiations, tracking status through event logs, and supporting wait controls. You can initiate tasks across exa-research, exa-research-pro, and exa-research-fast models, monitor progress, and retrieve structured outputs when complete.

What dependencies or setup are required to run research automation?▼

This Skill depends on the exa-ai dependency. Once configured, you can immediately launch research tasks with custom schemas and model selections—no additional environment setup required beyond having the exa-ai integration available.

Can I use this for emerging trends analysis requiring structured data on multiple dimensions?▼

Yes. This Skill excels at comprehensive analysis tasks like emerging trend research. Launch an asynchronous task to analyze topics (e.g., AI trends), and receive structured data on key players, technologies, and other dimensions you define, delivered as event-logged, schema-wrapped JSON.

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