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rai-research

Conduct epistemologically rigorous research and produce evidence catalogs with triangulated claims.

Updated Feb 4, 2026
Search Tags:#research#adr#evidence#decision-making#epistemology#triangulation
One-click install
npx skills add https://github.com/fcastrillo/carbtrack-ai --skill rai-research
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rai-research
Source: https://github.com/fcastrillo/carbtrack-ai/tree/main/.claude/skills/rai-research
Command: npx skills add https://github.com/fcastrillo/carbtrack-ai --skill rai-research

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Conduct epistemologically rigorous research to inform decisions and produce trustworthy guidance for ADRs, evaluating competing approaches, entering unfamiliar domains, or resolving parking-lot items.

Core Features & Use Cases

  • Produces an evidence catalog with triangulated claims
  • Evaluates competing approaches to inform architectural, product, or process decisions
  • Supports unfamiliar-domain exploration and parking-lot item resolution

Quick Start

Provide a framed research prompt and allow RaiSE to generate a structured evidence-backed report.

Frequently Asked Questions about rai-research

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

FAQPage Schema
How do I conduct rigorous research to evaluate competing architectural approaches?▼

Conduct epistemologically rigorous research by generating a structured evidence catalog with triangulated claims to evaluate competing approaches and produce actionable recommendations for your decisions.

What is evidence triangulation and when do I need it for decision-making?▼

Evidence triangulation cross-validates claims from multiple sources to ensure epistemological rigor. You need it when resolving parking-lot items, entering unfamiliar domains, or creating trustworthy ADRs.

How do I resolve parking lot items requiring unfamiliar domain exploration?▼

Resolve parking lot items by providing a framed research prompt to explore unfamiliar domains, which outputs an evidence-backed report cataloging triangulated claims for actionable guidance.

Does this research approach work for supporting architectural decision records?▼

This research approach works for ADRs by producing an evidence catalog with triangulated claims that evaluate competing architectural approaches and deliver trustworthy, actionable recommendations.

What's the best way to structure an evidence catalog before writing an ADR?▼

Structure an evidence catalog by framing a research prompt that generates triangulated claims and actionable recommendations, ensuring your ADR is backed by epistemologically rigorous evidence.

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