research-methodology

Coordinate structured multi-source research with evidence triangulation and documented trade-offs.

Updated Mar 25, 2026
One-click install
npx skills add https://github.com/tuanldas/superteam --skill research-methodology-tuanldas
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-methodology
Source: https://github.com/tuanldas/superteam/tree/main/skills/research-methodology
Command: npx skills add https://github.com/tuanldas/superteam --skill research-methodology-tuanldas

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Coordinate structured, multi-source research before planning or execution.

Core Features & Use Cases

  • Dynamic area selection from a research catalog
  • Multi-source triangulation and evidence evaluation
  • Synthesis and conflict presentation with documented decisions
  • Works across init and phase-research workflows

Quick Start

Initiate deep research planning using the catalog to select areas and run parallel agents.

Frequently Asked Questions about research-methodology

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

FAQPage Schema
How do I structure multi-source research before project planning?

Structure multi-source research by dynamically selecting areas from a catalog, triangulating evidence across web and codebase sources, and synthesizing findings with explicit trade-offs to produce decision-ready outputs.

What is evidence triangulation and when is it needed in methodology?

Evidence triangulation cross-validates findings from web, codebase, and ecosystem sources to resolve conflicts and enforce rigorous research guardrails before execution or planning phases.

How do I synthesize research findings and present conflicting evidence?

Synthesize research findings by evaluating evidence from multiple sources, documenting explicit trade-offs, and presenting conflicts to support traceable, decision-ready outputs.

Does this research methodology support phase-based workflows?

Yes, the methodology works across both init and phase-research workflows, dynamically selecting research areas from a catalog and running parallel agents to coordinate evidence synthesis.

Why do I need rigorous gates and guardrails in evidence synthesis?

Rigorous gates and guardrails enforce documentation and traceability during evidence synthesis, ensuring that conflicting findings are clearly presented and outputs remain decision-ready.

What's the best way to coordinate parallel research agents across multiple areas?

Coordinate parallel research agents by using a dynamic catalog to select research areas, triangulating multi-source evidence, and synthesizing findings with explicit trade-offs for decision-ready outputs.