research-refine

Convert vague research directions into testable problem statements with phased refinement.

Updated Apr 29, 2026
One-click install
npx skills add https://github.com/jkfee/Auto-Research --skill research-refine-jkfee
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-refine
Source: https://github.com/jkfee/Auto-Research/tree/main/skills/research-refine
Command: npx skills add https://github.com/jkfee/Auto-Research --skill research-refine-jkfee

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps researchers convert vague directions into a fixed, testable problem anchor plus a focused method plan, ensuring progress stays anchored and measurable.

Core Features & Use Cases

  • Phase-driven workflow (anchor, proposal, review, refine, done) to produce a concrete, implementable plan.
  • State persistence and checkpointing across rounds (REFINE_STATE.json, refine-logs) for reproducibility.
  • Evidence-based evaluation through reviewer feedback and score history to sharpen focus.
  • Output artifacts: initial proposal, refinement rounds, reviews, and final proposal for handoff to execution.
  • Use Case: a researcher starts from a fuzzy idea and ends with a compact, publication-ready plan with minimal experiments.

Quick Start

Provide a vague research goal and run the workflow to generate an anchored problem, initial proposal, and a staged 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 idea into a concrete, testable plan?

To turn a vague idea into a research plan, you need to anchor the problem statement into a fixed, measurable format. This workflow converts fuzzy directions into focused proposals with minimal validation steps and reproducible artifacts.

What is the best way to structure a research methodology for reproducibility?

A structured research methodology ensures reproducibility by using state persistence and checkpointing across refinement rounds. This approach tracks reviewer feedback and score history to maintain anchored, measurable progress throughout the proposal phase.

How do I refine a research proposal using reviewer feedback?

Refining a research proposal using reviewer feedback involves an evidence-based evaluation process with round-by-round refinement. The workflow persists checkpoint states and score history to sharpen focus and produce a final, ready-to-execute plan.

Can I use a phase-based workflow to create a publication-ready research plan?

Yes, a phase-based workflow effectively creates a publication-ready research plan by moving through anchor, proposal, review, and refine stages. This process yields a compact plan with minimal experiments and reproducible artifacts for execution.

What is problem anchoring in research planning and when do I need it?

Problem anchoring in research planning converts vague directions into a fixed problem statement that can be measured and tested. You need it when starting from a fuzzy idea to ensure your proposal progress stays anchored and measurable.