research-refine-pipeline

Refine research methods and plan validation experiments from refined claims.

1|Updated May 14, 2026

Search Tags:#research #workflow orchestration #experiment planning #claim validation #paper writing #method refinement

Ready to run

npx skills add https://github.com/lix965996-art/MMM --skill research-refine-pipeline-lix965996-art

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-refine-pipeline
Source: https://github.com/lix965996-art/MMM/tree/main/resources/app/skills/research-refine-pipeline
Command: npx skills add https://github.com/lix965996-art/MMM --skill research-refine-pipeline-lix965996-art

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It solves the problem of turning vague research direction into a stabilized final method proposal and a claim-driven experiment roadmap without skipping the validation logic.

Core Features & Use Cases

One-shot end-to-end pipeline: Chains method refinement with experiment planning so you get both the paper’s refined thesis and the experiments needed to validate it.
Stabilization-first guardrail: Prevents planning large experiments on top of an unstable or under-specified method by enforcing a refinement gate.
Review-grounded outputs: Reuses refinement artifacts (proposal, review summary, refinement report) to keep experiments aligned with the paper story and remaining reviewer concerns.
Use case: When you want to “串起来” and generate both the method and a detailed experiment plan in one go, especially after you already have a rough idea and need a coherent final proposal plus next execution steps.

Quick Start

Use the research-refine-pipeline skill to run an end-to-end workflow for my current research idea and produce a refined final proposal plus a tied experiment plan.

Frequently Asked Questions about research-refine-pipeline

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

FAQPage Schema

How do I turn a rough research idea into a complete experiment plan and final proposal?▼

Method refinement is the process of stabilizing a vague research direction into a coherent final proposal. It acts as a guardrail to prevent planning validation experiments on top of an unstable or under-specified method.

How do I plan validation experiments that directly address potential reviewer concerns?▼

To plan validation experiments aligned with reviewer concerns, reuse generated refinement artifacts like the review summary and refinement report, which keep the experiment roadmap tied to the paper's story and remaining gaps.

Can I generate a research method proposal and an experiment roadmap in a single run?▼

Yes, you can generate both a refined method proposal and an experiment roadmap in a single run by executing a staged workflow that chains method refinement and experiment planning with a stabilization-first gate.

Why should I stabilize a research method before planning validation experiments?▼

You must stabilize a research method before planning experiments to avoid building large validation efforts on unstable logic. A stabilization-first gate ensures the experiment roadmap is claim-driven and grounded in a refined proposal.

What outputs do I get from an end-to-end research refinement and experiment planning workflow?▼

An end-to-end research refinement workflow produces a complete set of pipeline outputs including a summary, a refined final proposal, a review history, and an experiment tracking roadmap for immediate execution.