research

Conducts multi-source web research and generates cited, structured reports.

Updated Feb 19, 2026

Search Tags:#decision making #research #competitive analysis #market data #technical evaluation #tool comparison

Ready to run

npx skills add https://github.com/olostep/olostep-cursor-plugin --skill research-olostep

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research
Source: https://github.com/olostep/olostep-cursor-plugin/tree/main/skills/research
Command: npx skills add https://github.com/olostep/olostep-cursor-plugin --skill research-olostep

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

This Skill provides comprehensive, cited web research to help users make informed technical, product, or business decisions, moving beyond outdated training data.

Core Features & Use Cases

Comparative Analysis: Evaluate and compare tools, libraries, services, or competitors based on live web data.
Data-Driven Insights: Gather market data, adoption statistics, and technical details for strategic planning.
Use Case: When deciding on a new API integration, use this skill to compare three potential services, analyzing their features, pricing, and community support, culminating in a clear recommendation.

Quick Start

Use the research skill to compare Prisma, Drizzle, and Kysely for a serverless TypeScript API.

Frequently Asked Questions about research

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

FAQPage Schema

How do I conduct competitive analysis using live market data instead of outdated training information?▼

Competitive analysis using live market data involves querying multi-source web research tools to gather current adoption statistics and technical details. This synthesizes actionable intelligence for strategic planning, moving beyond outdated model training data.

What is the best way to compare tools for a build vs buy evaluation?▼

The best way to compare tools for a build vs buy evaluation is leveraging AI-powered search to analyze features, pricing, and community support. This yields structured, cited comparisons for technical decision-making.

Can I verify technical claims and feature documentation from web scraping?▼

Yes, you can verify technical claims by conducting multi-source web scraping to cross-reference documentation and feature specifications. This validates current technical details against stated vendor claims for accurate evaluation.

How do I get cited market data for strategic product planning?▼

To get cited market data for strategic product planning, use web research tools that acquire and structure current statistics. This satisfies requirements for actionable intelligence by returning sourced, verified data points.

Does web research for tool comparison work for serverless TypeScript API integrations?▼

Web research for tool comparison works effectively for serverless TypeScript API integrations by evaluating specific libraries. It analyzes features, pricing, and community support to deliver a clear recommendation for your environment.

When should I not use automated web research for technical evaluation?▼

You should not use automated web research for technical evaluation when requiring real-time pricing or accessing gated documentation. These limitations prevent acquiring current data from sources requiring authentication or dynamic rendering.