research-refine

Name: research-refine
Availability: InStock
Author: tqli

Convert vague research directions into concrete problem-anchored method proposals.

1|Updated Apr 2, 2026

Search Tags:#refinement #evaluation #proposal #research-methods #anchor #phase-workflow

Ready to run

npx skills add https://github.com/tqLi99/claude-skills-for-writing --skill research-refine-tqli99

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-refine
Source: https://github.com/tqLi99/claude-skills-for-writing/tree/main/research-refine
Command: npx skills add https://github.com/tqLi99/claude-skills-for-writing --skill research-refine-tqli99

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Turn vague research directions into a concrete, problem-anchored method plan that is frontier-aware and implementation-ready, via iterative GPT-5.4 review.

Core Features & Use Cases

Frozen Problem Anchor to maintain problem fidelity across rounds.
Minimal, evaluation-focused proposals with clear validation steps.
Structured round-based critique to converge on a sharp method.

Quick Start

Describe your vague research goal and request a concrete, implementable plan using the Phase 0–Phase 5 workflow.

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 method proposal?▼

To turn a vague research direction into a concrete method proposal, you can use a Phase 0–Phase 5 workflow that crystallizes your idea into a frozen problem anchor. This process generates a minimal validation plan and a formal YAML-based proposal artifact.

What is a problem anchor in research method refinement?▼

A problem anchor in research method refinement is a fixed focal point maintained across multiple rounds of iteration to preserve problem fidelity. It ensures your evolving method proposal stays aligned with the original research goal without drifting.

How do I structure a research proposal using YAML for iterative critique?▼

You structure a research proposal using YAML by creating formal refinement artifacts that define your method and validation steps. This structured format supports an auditable review loop and maintains a JSON-based state log for tracking progress.

Can I use an iterative review loop to validate a minimal research plan?▼

Yes, you can use a structured round-based critique review loop to validate a minimal research plan. This approach converges on a sharp, implementation-ready method by repeatedly evaluating your proposal against a fixed problem anchor.

Does the research proposal workflow require any specific coding frameworks or dependencies?▼

The research proposal workflow requires no external coding frameworks or dependencies. It operates by generating structured YAML-based proposal artifacts and a JSON-based state log to manage the refinement phases.

When should I not use a frozen problem anchor for research planning?▼

You should not use a frozen problem anchor if your research direction is highly exploratory and requires continuous shifting of the core topic. This method relies on maintaining problem fidelity across multiple rounds, which limits flexibility for drastic pivots.