research-refine

Refine vague research directions into problem-anchored implementation plans with minimal validation.

1|Updated May 14, 2026
One-click install
npx skills add https://github.com/lix965996-art/MMM --skill research-refine-lix965996-art
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-refine
Source: https://github.com/lix965996-art/MMM/tree/main/resources/app/skills/research-refine
Command: npx skills add https://github.com/lix965996-art/MMM --skill research-refine-lix965996-art

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It converts a vague research direction into a concrete, implementable, problem-anchored method plan with minimal but decisive validation.

Core Features & Use Cases

  • Problem Anchor preservation: freezes the user’s bottom-line problem and carries it verbatim through iterative revisions to prevent drift.
  • Elegant frontier-aware planning: selects the smallest adequate mechanism, using LLM/VLM/Diffusion/RL/distillation/RL primitives only when they directly fit the bottleneck.
  • External reviewer loop: runs a structured review-and-revise workflow to sharpen specificity, contribution quality, and feasibility.
  • Claim-driven validation: defines minimal experiments (typically 1–3 core blocks) that are sufficient to defend the method’s key claims.

Quick Start

Use the research-refine skill to refine your approach by providing your problem and a vague direction, so it returns a focused, anchored research method plan with a minimal validation sketch.

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 experimental design?

A problem-anchored method plan refines a vague research direction into a concrete experimental design. It freezes your core problem to prevent drift and decomposes the idea into a minimal, decisive validation sketch.

What is problem anchoring in research method planning?

Problem anchoring freezes your bottom-line problem and carries it verbatim through iterative revisions in research method planning. This mechanism prevents idea drift and ensures the technical route remains focused on the original research question.

How do I scope minimal experiments for paper writing?

You scope minimal experiments for paper writing using claim-driven validation. This defines one to three core experimental blocks that are sufficient to defend the method's key claims and ensure venue readiness.

Can I use frontier methods like diffusion and RL only when they fit my research bottleneck?

You can apply frontier methods like LLM, VLM, Diffusion, RL, and distillation only when they directly fit your bottleneck. This approach selects the smallest adequate mechanism for elegant, frontier-aware planning.

What is the best way to prevent idea drift during iterative paper revisions?

Using an external reviewer loop is the best way to prevent idea drift during iterative paper revisions. This runs a structured review-and-revise workflow alongside a frozen problem anchor to sharpen specificity and contribution quality.

Does this method planning approach work if my technical route is still fuzzy?

This method planning approach works specifically when your technical route is fuzzy but the underlying problem is known. It refines the vague direction into a problem-anchored, concrete, and frontier-aware implementation plan.