research-refine-pipeline

Orchestrate research workflows from method refinement to experiment planning.

14.4k|1.3k|Updated Mar 10, 2026

Search Tags:#research #workflow automation #pipeline #experiment planning #proposal generation #method refinement

Ready to run

npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill research-refine-pipeline

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-refine-pipeline
Source: https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep/tree/main/skills/research-refine-pipeline
Command: npx skills add https://github.com/wanshuiyin/Auto-claude-code-research-in-sleep --skill research-refine-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill automates the creation of a comprehensive research proposal and a detailed experiment plan, transforming a vague research direction into a concrete, actionable roadmap.

Core Features & Use Cases

End-to-End Workflow: Integrates method refinement and experiment planning into a single, cohesive process.
Problem Anchoring: Ensures the final proposal and experiments are tightly aligned with the core research problem.
Method Stabilization: Prioritizes refining the research method before planning extensive experiments.
Use Case: When a user asks to "build a pipeline" from a research idea to a full experiment design, this skill orchestrates the necessary steps.

Quick Start

Use the research-refine-pipeline skill to generate a final proposal and experiment plan for the given research direction.

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 direction into a detailed experiment plan?▼

An end-to-end research workflow transforms vague research directions into actionable experiment plans by chaining method refinement and proposal generation. It anchors your core problem and outputs a concrete validation roadmap with iterative refinement steps.

What is the best way to refine research methods before planning experiments?▼

The best way to refine research methods is through problem anchoring and method stabilization before designing experiments. This ensures your final proposal aligns tightly with the core research problem before committing to extensive validation roadmaps.

Can I automate my research workflow from proposal generation to experiment design?▼

Yes, you can automate your research workflow from proposal generation to experiment design by building a pipeline. This orchestrates method refinement and planning into a cohesive process, transforming initial ideas into full experimental designs.

Does this research pipeline support iterative method refinement for complex scenarios?▼

Yes, the research pipeline supports complex scenarios requiring iterative method refinement and claim-driven experimental design. It transforms vague directions into focused proposals by enabling continuous method stabilization before finalizing validation roadmaps.

How do I ensure my experiment plan validates my core research claims?▼

To ensure your experiment plan validates core research claims, use a claim-driven experimental design approach. This anchors the validation roadmap directly to the core research problem identified during the method refinement phase.

What are the limitations of automating research proposal generation?▼

Automating research proposal generation requires a clearly defined initial direction to be effective. Without a specific core problem to anchor the pipeline, the workflow may struggle to produce a focused, actionable validation roadmap for your experiments.