research-refine-pipeline

Chains research refinement and experiment planning into one pipeline.

Updated May 20, 2026
One-click install
npx skills add https://github.com/lightrain-a/medtrace-aris --skill research-refine-pipeline-lightrain-a
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: research-refine-pipeline
Source: https://github.com/lightrain-a/medtrace-aris/tree/main/.vendor/aris/skills/research-refine-pipeline
Command: npx skills add https://github.com/lightrain-a/medtrace-aris --skill research-refine-pipeline-lightrain-a

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns vague research direction into a cohesive paper-ready method proposal and a claim-aligned experiment roadmap, without stopping after just refinement.

Core Features & Use Cases

  • End-to-end workflow: Orchestrates a full chain from refining the method (research-refine) to planning validation experiments (experiment-plan).
  • Stability-first guardrail: Prevents building a large experiment suite on an unstable method by enforcing a method-stabilization gate before planning.
  • Synchronized outputs: Produces consistent deliverables (final proposal, review history, refinement report, experiment plan, tracker, and pipeline summary) that reuse the same claims across stages.
  • Use case: When you want to "串起来" and generate both the method and the experiment plan together, especially from an initial rough idea through to a focused final proposal plus detailed experiments.

Quick Start

Use this skill to run an end-to-end pipeline that refines the research method and generates a claim-driven experiment plan in one go.

Frequently Asked Questions about research-refine-pipeline

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

FAQPage Schema
How do I generate an experiment plan and research method proposal from a rough idea?

To generate a research method and experiment plan from a rough idea, use an end-to-end pipeline that chains method refinement with experiment planning. This process produces a paper-ready proposal and a claim-driven experiment roadmap in one integrated workflow.

What is a stability-first guardrail in research workflow orchestration?

A stability-first guardrail in research workflow orchestration prevents building experiments on unstable methods. It enforces a method-stabilization gate that requires a finalized method thesis and review-derived must-prove claims before generating the experiment plan.

Can I connect research method refinement and experiment planning end-to-end in one workflow?

Yes, you can connect research method refinement and experiment planning end-to-end. A pipeline orchestrates the full chain from refining the method to planning validation experiments, ensuring synchronized outputs and consistent claims across all stages.

How does claim validation work when planning research experiments?

Claim validation in experiment planning works by deriving must-prove claims from a finalized method review. These claims act as a stability gate and are reused across stages to generate a synchronized experiment tracker and roadmap.

What deliverables do I get from an integrated research refinement and experiment planning pipeline?

Deliverables from a research refinement and experiment planning pipeline include a final proposal, review history, refinement report, experiment plan, tracker, and pipeline summary. These standardized outputs are written to refine-logs and reuse the same claims across stages.