research-refine-pipeline

Generate a research package with a refined method proposal and experiment plan.

Updated May 25, 2026
One-click install
npx skills add https://github.com/duypham2801/ThS_LLM --skill research-refine-pipeline-duypham2801
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-refine-pipeline
Source: https://github.com/duypham2801/ThS_LLM/tree/main/.claude/skills/research-refine-pipeline
Command: npx skills add https://github.com/duypham2801/ThS_LLM --skill research-refine-pipeline-duypham2801

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns an underspecified research direction into a coherent, thesis-ready package that includes both a stabilized method proposal and a claim-driven experiment roadmap, reducing the risk of planning experiments on an unstable or misaligned approach.

Core Features & Use Cases

  • End-to-end refinement + planning: Runs method refinement first, then produces an experiment plan grounded in the final proposal and review artifacts.
  • Alignment and gatekeeping: Reuses an existing final proposal only if it is fresh and still matches the current request; otherwise re-runs refinement to avoid mismatched experiments.
  • Claim-anchored validation coverage: Ensures the plan isolates novelty, tests a simplicity/deletion check, and verifies frontier necessity when relevant.

Quick Start

Use the pipeline to refine your research method and generate an experiment plan by asking: run /research-refine-pipeline with the current thesis direction and the target venue.

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 vague research idea into a thesis-ready plan with experiments?

Refining a vague research idea into a thesis-ready plan involves chaining method proposal refinement with experiment design. This ensures your experiment plan is grounded in a stabilized final method proposal rather than an unstable or misaligned approach.

What is claim-driven experimental validation in research workflow orchestration?

Claim-driven experimental validation anchors your experiment plan directly to the claims in your finalized method proposal. It isolates novelty, tests simplicity through deletion checks, and verifies frontier necessity to ensure the roadmap is grounded.

How do I align my experiment plan with a refined method proposal?

To align an experiment plan with a refined method proposal, use a gatekeeping mechanism that checks if the existing proposal is fresh and matches the current request. If not, it re-runs refinement to avoid mismatched experiments.

Can I generate a method proposal and experiment plan together in one step?

You can generate a method proposal and experiment plan together through a one-shot pipeline transformation. It chains refinement and planning to output a finalized proposal, experiment plan, tracker, and pipeline summary simultaneously.

Why does experiment planning fail on an unstable research method?

Experiment planning fails on an unstable research method because tests become misaligned with the actual approach. A gatekeeping step blocks large planning on unstable methods until the proposal is stabilized and reviewed.