research

Analyze technical requirements and produce citation-rich research reports with implementation guidance.

1|Updated Oct 27, 2025
One-click install
npx skills add https://github.com/skinred78/neuro-db-2 --skill research-skinred78
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research
Source: https://github.com/skinred78/neuro-db-2/tree/main/.claude/skills/research
Command: npx skills add https://github.com/skinred78/neuro-db-2 --skill research-skinred78

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps plan, research, and synthesize technical solutions that are scalable, secure, and maintainable, while applying pragmatic principles like YAGNI, KISS, and DRY.

Core Features & Use Cases

  • Scope Definition: Define research scope, key terms, recency requirements, and evaluation criteria.
  • Systematic Information Gathering: Multi-source collection with citations; parallel searches when possible; cross-source validation.
  • Analysis & Synthesis: Identify patterns, assess trade-offs, and produce actionable recommendations.

Quick Start

Example task: "Research best practices for securing cloud-native databases in 2025 and prepare a one-page recommendations plan."

Frequently Asked Questions about research

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

FAQPage Schema
How do I research and plan a technical architecture for a scalable solution?

Research and planning involves defining your scope, identifying key requirements, gathering information from multiple sources with citations, and synthesizing findings into actionable architectural recommendations. This Skill guides you through systematic information gathering, trade-off analysis, and structured conclusions aligned with YAGNI, KISS, and DRY principles to produce implementation guidance.

What's the best way to evaluate security and performance requirements when designing cloud solutions?

Systematic evaluation requires defining research questions, assessing multiple sources, identifying patterns across trade-offs, and producing structured recommendations. This Skill applies multi-source validation and analysis to help you evaluate security and performance requirements specifically for cloud architectures and deliver citations-rich reports.

How do I gather and validate information from multiple sources for technical documentation?

Multi-source information gathering involves parallel searches, cross-source validation, and systematic citation collection. This Skill enables you to collect from multiple sources simultaneously, validate findings across sources, and produce documentation with proper citations and structured research conclusions.

Can I use this for defining scope and evaluation criteria before building a technical solution?

Yes. Scope definition is a core feature—you define research scope, key terms, recency requirements, and evaluation criteria upfront. This Skill helps you establish clear boundaries and measurable criteria before diving into solution design, ensuring your research and architecture planning are targeted and actionable.

What's the difference between this research approach and ad-hoc architecture planning?

Structured research applies systematic scope definition, multi-source validation, pattern identification, and trade-off analysis to produce actionable plans. Ad-hoc planning lacks this rigor. This Skill delivers citation-rich reports and implementation guidance grounded in pragmatic principles, reducing design risks and technical debt.

Does this Skill work for documenting architectural decisions and trade-offs?

Yes. Documentation of decisions and trade-offs is a core output. This Skill synthesizes analysis into structured conclusions, implementation guidance, and citation-rich reports that capture your reasoning, making architectural decisions auditable and maintainable for teams.