research-methodology

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

Updated Mar 25, 2026

Search Tags:#research #methodology #evidence #synthesis #phases #triangulation

Ready to run

npx skills add https://github.com/tuanldas/superteam --skill research-methodology-tuanldas

💬 Prompt for ChatGPT / Claude Chat▼

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.