problem-validation

Orchestrate multi-agent adversarial validation of research questions for novelty, feasibility, and venue fit.

11|1|Updated Feb 22, 2026
One-click install
npx skills add https://github.com/EvoClaw/amplify --skill problem-validation
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: problem-validation
Source: https://github.com/EvoClaw/amplify/tree/main/skills/problem-validation
Command: npx skills add https://github.com/EvoClaw/amplify --skill problem-validation

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Phase 2 problem-validation provides adversarial questioning and multi-agent deliberation to assess research questions for novelty, feasibility, and venue suitability before any method design begins.

Core Features & Use Cases

  • Adversarial questioning to test assumptions and feasibility.
  • Three-agent deliberation (Senior Professor, Editor, Research Scientist) to evaluate scientific significance, editorial viability, and practical feasibility.
  • Stepwise refinement with a re-entry path and escalation options if consensus cannot be reached.
  • Phase-2 gating: returns a final verdict and actionable improvements to proceed to Phase 3 or revert to Phase 1.

Quick Start

Submit a research question to run the Phase 2 problem-validation workflow and receive a refined, actionable verdict after multi-agent deliberation.

Frequently Asked Questions about problem-validation

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

FAQPage Schema
How do I validate research question novelty and feasibility before designing methods?

Validating research question novelty and feasibility requires adversarial questioning and multi-agent deliberation to assess scientific significance and practical viability before any method design begins. This structured workflow applies novelty litmus tests and data checks to produce a go/no-go verdict.

What is adversarial deliberation for research question vetting?

Adversarial deliberation for research question vetting is a multi-agent process where a Senior Professor, Journal Editor, and Research Scientist evaluate scientific significance, editorial viability, and practical feasibility. They apply stepwise refinement to converge on a Phase 2 verdict with actionable improvements.

How do I check if my research question is suitable for a target venue?

Checking venue suitability involves engaging a Journal Editor agent during multi-agent deliberation to assess editorial viability against target publication standards. The workflow evaluates venue fit alongside novelty and feasibility to determine if the question should proceed to Phase 3.

Can I get actionable feedback if my research question fails validation?

Failing research question validation returns actionable improvements and a re-entry path to revert to Phase 1 for refinement. If consensus cannot be reached during deliberation, escalation options are available to help resolve disagreements and guide the question forward.

When should I use multi-agent validation instead of reviewing a research question myself?

Multi-agent validation is needed when rigorous Phase 2 vetting is required for novel questions before committing resources to method design. It provides adversarial questioning that tests assumptions and feasibility more thoroughly than individual review, producing a structured go/no-go decision.

What happens after a research question passes Phase 2 validation?

After passing Phase 2 validation, the research question receives a go verdict and proceeds to Phase 3 for method design. The workflow records actionable guidance from the Senior Professor, Editor, and Research Scientist to inform the next phase of research development.