research-refine

Convert vague research directions into phased refinement plans with checkpoints.

Updated Apr 10, 2026
One-click install
npx skills add https://github.com/KwongFuk/codex-skills --skill research-refine-kwongfuk
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-refine
Source: https://github.com/KwongFuk/codex-skills/tree/main/global/research-refine
Command: npx skills add https://github.com/KwongFuk/codex-skills --skill research-refine-kwongfuk

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Turn a vague research direction into a problem-anchored, elegant, frontier-aware, implementation-oriented method plan via iterative GPT-5.4 review. Use when the user says "refine my approach" or wants a concrete research method that stays simple, focused, and top-venue ready.

Core Features & Use Cases

  • Freeze the user's core problem and reuse it across rounds to prevent drift.
  • Identify the smallest adequate mechanism that directly fixes the bottleneck.
  • Operate in clearly defined phases (anchor, proposal, review, refinement) with persistent checkpoints.
  • Integrate frontier-native techniques only when they meaningfully improve the plan.

Quick Start

Provide your vague research direction and ask this skill to generate an anchored, implementable refinement plan.

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 an actionable plan?

An anchored refinement workflow freezes your core problem and iteratively maps it to a concrete, publication-ready proposal. This prevents idea drift and ensures your vague direction becomes an actionable plan.

What is the best way to refine a research approach for top-tier venues?

Refining a research approach for top-tier venues requires a phase-driven workflow with persistent checkpoints and evidence-oriented validation. This ensures your proposal remains frontier-aware and rigorously validated.

How does the anchoring mechanism prevent problem drift during research planning?

The anchoring mechanism prevents problem drift by freezing your core problem at the start and reusing it across all subsequent review rounds. This keeps the refinement process focused and directly aligned with the original bottleneck.

How do I identify the smallest adequate mechanism to fix a research bottleneck?

To identify the smallest adequate mechanism for a research bottleneck, apply an iterative review process that filters for the most direct solution. This approach integrates frontier-native techniques only when they meaningfully improve the plan.

Can I use this refinement method for any research field?

Yes, you can use this refinement method for any research field because it operates on the structural logic of problem-anchoring rather than domain-specific content. It evolves your specific ideas into elegant, implementable proposals universally.

When should I not use an iterative refinement workflow for research planning?

You should not use an iterative refinement workflow if your research direction is already a concrete, implementation-ready proposal. This method is designed specifically to anchor vague ideas and lacks benefit for already finalized plans.