Verified:GitHub

research-intelligence

Dissect market data and research into structured strategic insights.

6|Updated May 20, 2026

Search Tags:#research #synthesis #evidence-based #market-sizing #competitive-analysis #strategic-insights #trend-identification

Ready to run

npx skills add https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version --skill research-intelligence-vignesh2027

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-intelligence
Source: https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version/tree/main/research-intelligence
Command: npx skills add https://github.com/vignesh2027/Claude-Agentic-Skills2.0-version --skill research-intelligence-vignesh2027

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Activates ResearchIntelligence for deep research, competitive analysis, and strategic synthesis. Use when you need TAM/SAM/SOM market sizing with methodology, competitive feature matrix and positioning map, macro and micro trend identification with evidence, academic or industry research synthesis, or strategic insight generation from raw information.

Core Features & Use Cases

TAM/SAM/SOM sizing with transparent methodology and defensible assumptions.
Competitive analysis with feature matrices, positioning maps, and evidence-backed comparisons.
Trend identification with evidence and synthesis from multiple sources.
Research synthesis across academic, industry, and market data to produce actionable insights.
Strategic insight generation from raw information and unstructured inputs.

Quick Start

Provide your raw research notes or data and request a strategic synthesis of market intelligence.

Frequently Asked Questions about research-intelligence

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

FAQPage Schema

How do I calculate TAM, SAM, and SOM sizing with defensible assumptions?▼

Competitive analysis synthesizes market data into feature matrices and positioning maps with evidence-backed comparisons. It dissects competitor capabilities to deliver structured findings, enabling you to identify strategic gaps and differentiate your positioning based on concrete feature analysis.

What is the best way to synthesize academic and industry research into actionable insights?▼

Research synthesis combines academic and industry studies across multiple domains to produce actionable insights. The process requires defined research inputs, applies evidence-backed analysis to raw information, and outputs structured findings with strategic recommendations for immediate implementation.

Can I generate strategic insights from unstructured raw information and market signals?▼

Strategic insight generation processes unstructured raw information and market signals to deliver implementable recommendations. By identifying macro and micro trends with supporting evidence, it transforms disparate data inputs into structured strategic intelligence for decision-making.

How do I identify macro and micro market trends with supporting evidence?▼

Trend identification extracts macro and micro market trends by synthesizing multiple data sources with evidence. It requires defined research inputs to analyze market signals, delivering structured findings that highlight strategic trend trajectories backed by concrete data.

Do I need defined research inputs to perform evidence-based market sizing?▼

Evidence-based market sizing requires defined research inputs to function properly. Without structured raw data or research notes, the analysis cannot apply its transparent methodology or generate defensible assumptions for accurate TAM, SAM, and SOM calculations.