scholarly-specialists

Orchestrate independent expert panels to analyze problems from first principles.

Updated Jul 30, 2026
One-click install
npx skills add https://github.com/c0utin/roda-viva --skill scholarly-specialists
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: scholarly-specialists
Source: https://github.com/c0utin/roda-viva/tree/main
Command: npx skills add https://github.com/c0utin/roda-viva --skill scholarly-specialists

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill solves the challenge of tackling high-stakes, open-ended, or cross-disciplinary problems that are often trapped by incumbent biases or narrow, single-domain thinking.

Core Features & Use Cases

  • Independent Specialist Panels: Routes complex requests to a diverse panel of core and distant-field experts to ensure adversarial synthesis and evidence-based reasoning.
  • Ground-Up Innovation: Challenges inherited assumptions and proxy metrics by forcing a first-principles analysis of the problem.
  • Use Case: Use this when you need to evaluate a novel technical architecture or policy decision by simulating candidate solutions against a baseline and auditing them through multidisciplinary lenses.

Quick Start

Use the scholarly-specialists skill to normalize the provided problem statement and orchestrate an independent panel of core and distant-field experts to challenge assumptions and synthesize a solution.

Frequently Asked Questions about scholarly-specialists

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

FAQPage Schema
How do I challenge inherited assumptions when evaluating a complex technical architecture?

Evaluating complex technical architectures requires orchestrating independent core and distant-field subagents to rethink the problem from first principles, applying adversarial synthesis to challenge inherited assumptions and proxy metrics.

What is first-principles analysis for cross-disciplinary problem solving?

First-principles analysis for cross-disciplinary problems is a mechanism that routes requests to diverse expert panels, forcing ground-up innovation by challenging incumbent biases and narrow, single-domain thinking.

Can I use adversarial synthesis to simulate candidate solutions against a baseline?

Adversarial synthesis can simulate candidate solutions against a baseline by routing complex requests to a diverse panel of core and distant-field experts, auditing them through multidisciplinary lenses for rigorous evaluation.

Does this approach support auditable reasoning for high-stakes policy decisions?

Auditable reasoning for high-stakes policy decisions is supported through evidence-based specialist routing and multidisciplinary simulation, ensuring open-ended tasks are evaluated with rigorous solution evaluation.

What's the best way to conduct multidisciplinary research for open-ended problems?

The best way to conduct multidisciplinary research for open-ended problems is normalizing the problem statement and orchestrating an independent panel of experts to synthesize a solution from first principles.

When should I not use a specialist panel for research orchestration?

Specialist panel research orchestration should not be used for narrow, single-domain tasks that lack incumbent biases or cross-disciplinary requirements, as the adversarial synthesis overhead is designed for high-stakes, open-ended problems.