research

Conduct multi-source market, technical, and documentation research.

Updated Jun 21, 2026
One-click install
npx skills add https://github.com/apexradius/agentic-os --skill research-apexradius
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/apexradius/agentic-os/tree/main/skills/research
Command: npx skills add https://github.com/apexradius/agentic-os --skill research-apexradius

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

The research skill solves the problem of time-consuming and fragmented research processes by providing a streamlined, multi-source approach to gather, analyze, and synthesize information on market analysis, technical comparisons, and documentation search.

Core Features & Use Cases

  • Market Analysis: Conducts competitor scans, market analysis, and trend identification.
  • Technical Comparison: Facilitates side-by-side comparisons of technical options.
  • Documentation Search: Searches for documentation, code examples, and community resources.
  • Deep Research: Performs multi-step research with source verification for comprehensive analysis.
  • Use Case: When you need to research a new market, compare technical solutions, or find detailed documentation on a specific topic.

Quick Start

Use the research skill to get a comprehensive analysis of the market trends in the AI industry by typing: /research AI market trends.

Frequently Asked Questions about research

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

FAQPage Schema
How do I automate multi-source market analysis and competitor scans?▼

Multi-source market analysis is automated by running parallel agent execution to gather and synthesize competitor scans, market data, and trend identification into a comprehensive report.

What is the best way to perform a technical comparison of different solutions?▼

Technical comparison is performed by executing parallel research agents that retrieve and analyze documentation to facilitate side-by-side evaluations of various technical options.

How do I conduct deep research with source verification for complex topics?▼

Deep research with source verification is conducted using multi-step research processes that cross-reference multiple data sources to ensure comprehensive and accurate analysis.

Can I search for specific documentation and code examples across multiple sources?▼

Documentation search is supported across multiple sources to retrieve specific technical documentation, code examples, and relevant community resources for your queries.

Do I need specific agent configurations to run research automation tasks?▼

Appropriate agent configurations and data sources are required to execute the parallel agent processing that drives the research automation and intelligence gathering tasks.