rai-research

Frame research prompts requiring triangulated evidence for ADR decisions.

71|8|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/humansys/raise --skill rai-research-humansys
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rai-research
Source: https://github.com/humansys/raise/tree/main/packages/raise-cli/src/raise_cli/skills_base/rai-research
Command: npx skills add https://github.com/humansys/raise --skill rai-research-humansys

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Research decisions often rely on a single source or intuition, risking biased or incomplete conclusions. This Skill enables epistemologically rigorous, triangulated research to inform ADRs and evaluations.

Core Features & Use Cases

  • Structured evidence catalog creation and maintenance for research topics.
  • Rigorous source evaluation using RaiSE criteria (Very High to Low).
  • Synthesis of findings with explicit confidence, contradictions, and actionable recommendations.
  • Generates outputs: evidence catalog, synthesis document, and recommendations to feed governance artifacts.

Quick Start

Execute a standard-depth topic prompt to produce a complete evidence catalog, synthesis, and recommendations for your ADR.

Frequently Asked Questions about rai-research

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

FAQPage Schema
How do I gather triangulated evidence to justify architecture decisions in an unfamiliar domain?▼

Triangulated research for ADRs uses structured evidence collection and source evaluation with RaiSE levels to synthesize findings, exposing confidence levels and contradictions to produce actionable governance recommendations.

When should I use multi-source research instead of intuition for high-stakes architecture choices?▼

Multi-source research replaces intuition for high-stakes architecture choices by applying structured evidence cataloging and RaiSE source evaluation, ensuring decisions are justified by transparent triangulation rather than single-source bias.

How do I evaluate the reliability of sources used for technical decision-making research?▼

Evaluate source reliability for technical decision-making research using RaiSE criteria, which assigns confidence levels from Very High to Low to structure your evidence catalog and guide transparent triangulation.

What outputs do I need to generate from research to feed into architecture decision records?▼

To feed architecture decision records, generate an evidence catalog, a synthesis document detailing contradictions and confidence, and actionable recommendations derived from transparent triangulation.

Why does relying on a single source risk biased conclusions for governance evaluations?▼

Relying on a single source risks biased or incomplete conclusions for governance evaluations because it lacks epistemological rigor, whereas triangulated research synthesizes multiple evaluated sources to justify decisions.

Can I use standard-depth research prompts to produce a complete evidence catalog for ADRs?▼

Yes, you can execute a standard-depth topic prompt to produce a complete evidence catalog, synthesis document, and actionable recommendations suitable for directly informing your ADRs.