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research-refine

Transform vague research directions into problem-anchored method plans via iterative GPT-5.5 review.

Updated Jun 10, 2026
Search Tags:#planning#research#methodology#proposal#anchor#frontier#gpt-5.5
One-click install
npx skills add https://github.com/xqinag/ARIS-new --skill research-refine-xqinag
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-refine
Source: https://github.com/xqinag/ARIS-new/tree/main/skills/research-refine
Command: npx skills add https://github.com/xqinag/ARIS-new --skill research-refine-xqinag

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This workflow helps researchers and product teams convert vague directions into a concrete, anchored, and implementable plan by guiding iterative GPT-5.5 reviews.

Core Features & Use Cases

  • Problem anchor: freeze and reuse a single immutable problem statement across rounds.
  • Phase-based refinement: transform fuzziness into a focused method, minimal experiments, and a clear validation path.
  • Rapid iteration: supports anchor checks, simplicity checks, and structured revision cycles for top-venue readiness.
  • Use case: researchers refining a research proposal, startup teams planning a research roadmap, or educators shaping a rigorous methodology.

Quick Start

Transform vague ideas into a concrete anchored problem and a concise, implementable refinement proposal.

Frequently Asked Questions about research-refine

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

FAQPage Schema
How do I turn a vague research idea into a focused methodology plan?▼

To turn a vague research idea into a focused methodology plan, use iterative GPT-5.5 reviews to freeze a problem anchor and refine it into a minimal, well-scoped mechanism with a clear validation strategy.

What is a problem anchor in research proposal development?▼

A problem anchor in research proposal development is an immutable problem statement frozen and reused across refinement rounds to ensure your methodology stays focused and venue-ready.

Can I use iterative GPT-5.5 reviews for startup product research roadmaps?▼

Yes, you can use iterative GPT-5.5 reviews for startup product research roadmaps to perform phase-based refinement, transforming fuzzy directions into implementable plans with lightweight validation.

How do I structure a minimal validation strategy for a research proposal?▼

You structure a minimal validation strategy by applying phase-based refinement to specify a well-scoped mechanism that demonstrates feasibility through lightweight, structured revision cycles.

What's the best way to prepare a research proposal for top-venue submission?▼

The best way to prepare a research proposal for top-venue submission is running anchor checks and simplicity checks through iterative review cycles to ensure venue-ready framing and feasibility.

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