research-refine

Review and refine research proposals using GPT-5.4 and Claude Code.

100|24|Updated Mar 31, 2026

Search Tags:#experiment design #foundation models #method development #research refinement #problem anchoring

Ready to run

npx skills add https://github.com/GRIND-Lab-Core/night_owl_research_agent --skill research-refine-grind-lab-core

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-refine
Source: https://github.com/GRIND-Lab-Core/night_owl_research_agent/tree/main/skills/refine-research
Command: npx skills add https://github.com/GRIND-Lab-Core/night_owl_research_agent --skill research-refine-grind-lab-core

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires gpt-5.4, claude-code, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill assists in turning a broad research direction into a precise, implementation-oriented method plan that is ready for execution and publication.

Core Features & Use Cases

Iterative Review: Leverages GPT-5.4 for method-level review and refinement.
Problem Anchoring: Ensures the research stays focused on the original problem statement.
Modern Technique Integration: Uses foundation-model-era primitives where appropriate.
Validation and Feasibility: Provides minimal yet sufficient experiments to validate claims.
Use Case: If you have a general research idea and want to develop it into a concrete research method that is simple, focused, and ready for a top venue.

Quick Start

Run the command "/refine-research 'My research problem' to initiate the refinement process.

Frequently Asked Questions about research-refine

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

FAQPage Schema

How do I refine a vague research idea into a focused method plan?▼

To refine a vague research idea, this Skill applies iterative proposal review to anchor problem statements, integrate foundation-model-era primitives, and design sufficient validation experiments for publication-ready execution.

What is the best way to anchor a research problem during method development?▼

Anchoring a research problem during method development requires enforcing strict problem-focused constraints during iterative reviews, ensuring proposed foundation-model techniques consistently align with the original problem statement.

Do I need GPT-5.4 and Claude Code environments to run research refinement?▼

Yes, you need both GPT-5.4 and Claude Code environments to run research refinement, as the Skill explicitly requires these dependencies to execute method-level proposal review and validation.

How do I integrate foundation-model-era techniques into my experiment design?▼

You integrate foundation-model-era techniques into experiment design by applying method refinement that evaluates your proposal against modern primitives, ensuring your selected techniques remain current and appropriate for the specific problem.

When should I avoid using automated tools for research proposal validation?▼

You should avoid using automated tools for research proposal validation if your project lacks a clearly defined initial problem statement, as this refinement process requires a baseline direction to anchor and transform into an implementation-oriented method plan.