research-refine

Transform vague research directions into anchored, implementable plans.

1|Updated Mar 25, 2026
One-click install
npx skills add https://github.com/HeXiao-55/Auto-SurveyMind --skill research-refine-hexiao-55
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-refine
Source: https://github.com/HeXiao-55/Auto-SurveyMind/tree/main/skills/research-refine
Command: npx skills add https://github.com/HeXiao-55/Auto-SurveyMind --skill research-refine-hexiao-55

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps transform vague research directions into concrete, problem-anchored, elegant plans that are ready for execution and evaluation.

Core Features & Use Cases

  • Anchored problem framing: Freeze a problem anchor to maintain a stable direction across rounds.
  • Iterative proposal refinement: Generate minimal, focused proposals and progressive refinements with clear validation criteria.
  • Structured execution plan: Outline data needs, methods, and evaluation milestones to move from idea to practice.

Quick Start

Input a vague research direction and receive an anchored problem, an initial proposal, and a plan for iterative refinement rounds.

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 direction into a concrete proposal?

To turn a vague research direction into a concrete proposal, you need to establish a formal problem anchor to maintain stable focus, then apply iterative refinement to generate minimal proposals with clear validation criteria.

What is anchored problem framing in research planning?

Anchored problem framing freezes a specific problem statement to maintain a stable research direction across multiple refinement rounds, preventing scope drift and ensuring your methodology remains aligned with the original goal.

How do I structure an execution plan for foundation model research?

Structure an execution plan by outlining specific data requirements, defining core research methods, and setting clear evaluation milestones to transition from an initial proposal to practical implementation and validation.

Does this approach work for both academic and industry research proposals?

Yes, this structured refinement protocol applies to both academic and industry research planning, methodology scoping, and proposal drafting across any discipline where the initial framing is unclear.

What's the best way to validate a minimal research proposal?

The best way to validate a minimal research proposal is to define a dominant-contribution structure with progressive refinement rounds, checking each iteration against explicit validation criteria and structured milestones.