research-analysis

Execute parallel research streams across technical, legal, and market domains.

4|Updated Dec 7, 2025
One-click install
npx skills add https://github.com/grigb/gas-prompt-library --skill research-analysis-grigb
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-analysis
Source: https://github.com/grigb/gas-prompt-library/tree/main/agents/agent-research-analysis
Command: npx skills add https://github.com/grigb/gas-prompt-library --skill research-analysis-grigb

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of conducting deep, multi-faceted research by providing a structured, parallelized framework that prevents scope creep and ensures evidence-based decision-making.

Core Features & Use Cases

  • Parallel Research Execution: Simultaneously investigates technical, legal, and market domains to accelerate findings by up to 5x.
  • Evidence-Based Synthesis: Enforces strict source quality hierarchies and citation requirements to ensure findings are reliable and actionable.
  • Use Case: Use this agent to perform a comprehensive competitive analysis of a new technology stack, including technical architecture, regulatory compliance, and market adoption patterns.

Quick Start

Invoke the research-analysis skill to investigate the technical and regulatory implications of implementing a decentralized identity system for our platform.

Frequently Asked Questions about research-analysis

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

FAQPage Schema
How do I conduct systematic evidence-based research across multiple domains?

Systematic evidence-based research requires parallel investigation streams across technical, legal, and market categories. This approach enforces source triangulation and quality hierarchies, ensuring complex decision-making scenarios yield reliable, actionable synthesis.

How do I structure parallel research streams for technical and regulatory compliance?

Parallel research streams for technical and regulatory compliance are structured by simultaneously investigating multiple domains. This parallelized framework enforces strict source quality hierarchies and citation requirements, accelerating findings while maintaining evidence-based synthesis.

Can I use this approach for competitive analysis of a new technology stack?

Competitive analysis of a new technology stack is supported by executing multi-domain investigations. The framework assesses technical architecture, regulatory compliance, and market adoption patterns, delivering structured reporting with rigorous source quality assessment.

How does source triangulation work in evidence-based synthesis?

Source triangulation in evidence-based synthesis works by cross-verifying findings across parallel investigation streams. It applies strict source quality hierarchies and citation requirements, ensuring high-autonomy research protocols yield reliable, actionable intelligence.

Are there limitations to using parallelized investigation streams for research synthesis?

Parallelized investigation streams for research synthesis are limited when complex decision-making scenarios lack sufficient evidence for source triangulation. The strict source quality hierarchies require rigorous input, meaning sparse data domains may yield incomplete structured reporting.