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TerryFYL
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research-frontier

Identify novel research directions by scanning cross-domain gaps and validating evidence.

8|Updated Mar 18, 2026
Search Tags:#research#feasibility#cross-domain#literature-search#frontier#asset-mapping
One-click install
npx skills add https://github.com/TerryFYL/ai-research-army --skill research-frontier
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-frontier
Source: https://github.com/TerryFYL/ai-research-army/tree/main/skills/research-frontier
Command: npx skills add https://github.com/TerryFYL/ai-research-army --skill research-frontier

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Identify novel research directions by systematically scanning cross-domain gaps and validating them with evidence.

Core Features & Use Cases

  • Asset mapping across disciplines to reveal existing resources and gaps.
  • Structure selection to build robust research matrices (exposure-driven, outcome-driven, mechanism-chain, or hybrid).
  • Deep literature search and feasibility checks to confirm opportunities and guardrails for execution.

Quick Start

Trigger the frontier engine with your intent (e.g., 'find directions') to initiate cross-domain gap discovery and evidence validation.

Frequently Asked Questions about research-frontier

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

FAQPage Schema
How do I identify novel research directions at cross-domain gaps?▼

You identify novel research directions by systematically scanning cross-domain gaps and validating them with evidence through asset mapping and deep literature search to ensure feasibility.

What is the best way to map existing data assets across disciplines for frontier exploration?▼

Mapping assets across disciplines reveals existing resources and gaps, enabling you to select robust research matrices like exposure-driven or mechanism-chain structures for targeted frontier exploration.

How do I validate the feasibility of cross-domain research opportunities?▼

You validate feasibility of cross-domain opportunities by conducting deep literature searches and applying feasibility checks to confirm execution guardrails and generate decision-ready structured reports.

Can I use this to build a research matrix for an exposure-driven study?▼

Yes, structure selection supports building robust research matrices including exposure-driven, outcome-driven, mechanism-chain, or hybrid frameworks to guide cross-domain gap discovery and validation.

When do I need cross-domain gap discovery for my research project?▼

Cross-domain gap discovery is needed when data assets exist and cross-domain opportunities are plausible, requiring systematic asset mapping and feasibility checks to produce decision-ready outputs for downstream tasks.

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