research

Analyze competitive landscapes and technology decisions for product research.

Updated Apr 24, 2026
One-click install
npx skills add https://github.com/brianonieal/Syntaris --skill research-brianonieal
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/brianonieal/Syntaris/tree/main/.claude/skills/research
Command: npx skills add https://github.com/brianonieal/Syntaris --skill research-brianonieal

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill removes the guesswork from early-stage product and technology research by turning vague ideas or specific decisions into evidence-based findings.

Core Features & Use Cases

  • Competitive Landscape Analysis: Identifies the top similar products, explains what they do well, and surfaces where they fall short.
  • Targeted Technical Research: Evaluates frameworks, libraries, APIs, and implementation choices when you need a focused recommendation.
  • Decision Support: Converts research into concrete differentiation opportunities, build priorities, and skip-for-now guidance for planning and strategy.
  • Use Case: If you are starting a new app, this Skill can compare the closest competitors, summarize pricing and strengths, and suggest where your idea can stand out.

Quick Start

Use the research skill to compare the top competitors for my app idea and summarize the strongest differentiation opportunities.

Frequently Asked Questions about research

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

FAQPage Schema
How do I analyze the competitive landscape for a new app idea?

Competitive landscape analysis identifies top similar products, summarizes their strengths and weaknesses, and surfaces differentiation opportunities for your product strategy. It evaluates pricing, feature gaps, and technology signals to guide your planning.

What is the best way to compare tech stack tradeoffs and framework performance?

Framework evaluation compares libraries, APIs, and implementation choices by synthesizing strengths, weaknesses, and technology signals. It delivers evidence-based recommendations to help you decide which stack components to adopt or skip.

How do I evaluate named competitors and find market differentiation opportunities?

Evaluating named competitors involves mapping their strengths and weaknesses alongside pricing and technology signals. This targeted research synthesizes evidence-based findings to highlight where your product can stand out in the market.

Can I use competitive analysis for API and library research decisions?

Yes, competitive analysis applies to API and library research by evaluating implementation choices and stack tradeoffs. It requires structured synthesis of technology signals and prior memory checks to produce concise technical recommendations.

What market intelligence do I need to prioritize build decisions for product strategy?

Market intelligence for product strategy requires synthesizing competitor strengths, weaknesses, and pricing into actionable decision support. This converts research into concrete build priorities and skip-for-now guidance for planning.

When should I not use evidence-based comparison for tech stack decisions?

Evidence-based comparison is less effective when evaluating highly subjective UI preferences or undocumented proprietary frameworks. It requires accessible technology signals and structured data on strengths, weaknesses, and pricing to generate reliable recommendations.