Research Idea Convergence

Identify and converge survey results into 2-4 publishable research directions.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/unstun/dqn10 --skill research-idea-convergence-unstun
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Research Idea Convergence
Source: https://github.com/unstun/dqn10/tree/main/.claude/skills/research-idea-convergence
Command: npx skills add https://github.com/unstun/dqn10 --skill research-idea-convergence-unstun

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill helps researchers transform survey results and literature insights into a concrete, publishable research angle, while preserving a clear user validation checkpoint.

Core Features & Use Cases

  • Reads survey outputs and literature context to identify gaps and opportunities.
  • Generates 2-4 distinct candidate directions with pros/cons and feasibility notes.
  • Pauses for user decision at an explicit checkpoint before finalizing the chosen angle.

Quick Start

Analyze the current survey outputs and list 2-4 concrete candidate directions for the user to choose from.

Frequently Asked Questions about Research Idea Convergence

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

FAQPage Schema
How do I find a publishable research angle from survey results?

Finding a publishable research angle from survey results involves analyzing literature outputs to identify gaps and opportunities, then evaluating 2-4 candidate directions with pros and cons before finalizing your choice.

What is research direction convergence in academic ideation?

Research direction convergence in academic ideation is the process of narrowing broad survey-driven review insights into a concrete, publishable angle by generating and comparing distinct candidate directions.

How do I generate candidate research directions with gap analysis?

Generating candidate research directions with gap analysis requires reading survey outputs and literature context to capture gaps, then producing 2-4 distinct directions complete with feasibility notes for evaluation.

Can I manually validate the chosen publishable angle before finalizing?

Yes, you can manually validate the chosen publishable angle before finalizing, as the process pauses at an explicit user checkpoint to review feasibility notes and select from candidate directions.

Does this decision-support approach work for survey-driven reviews?

Yes, this decision-support approach works for survey-driven reviews by reading survey outputs to capture context, specifically applying during the ideation stage of academic projects.