research-pipeline

Name: research-pipeline
Availability: InStock
Author: MACJONS

Orchestrates autonomous research lifecycle from idea discovery to submission-ready output.

Updated Mar 15, 2026

Search Tags:#automation #writing #research #idea generation #experimentation #submission

Ready to run

npx skills add https://github.com/MACJONSW/AutoResearchIDEA --skill research-pipeline-macjonsw

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-pipeline
Source: https://github.com/MACJONSW/AutoResearchIDEA/tree/main/skills/research-pipeline
Command: npx skills add https://github.com/MACJONSW/AutoResearchIDEA --skill research-pipeline-macjonsw

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the entire research lifecycle, from generating novel research ideas to producing a submission-ready paper, significantly accelerating the scientific discovery process.

Core Features & Use Cases

Automated Idea Generation: Discovers and validates research gaps and novel ideas.
Full Experimentation Pipeline: Implements, deploys, and runs experiments, including an autonomous review and refinement loop.
Submission Readiness: Produces a final report indicating readiness for submission.
Use Case: A researcher can provide a broad research direction, and this Skill will autonomously navigate the process of identifying a specific, novel research question, designing experiments, running them, and refining the results until a high-quality, submission-ready output is achieved.

Quick Start

Use the research-pipeline skill to generate and refine research ideas for the topic of "advances in reinforcement learning for robotics".

Frequently Asked Questions about research-pipeline

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

FAQPage Schema

How do I automate the research lifecycle from idea generation to a submission-ready paper?▼

Automating the research lifecycle involves using a multi-stage workflow to manage literature review, novelty checking, experiment implementation, and an iterative auto-review loop. This process produces a refined, submission-ready output autonomously.

Can I automatically generate and validate novel research ideas for a broad topic?▼

Yes, you can automatically generate and validate novel research ideas by providing a broad research direction. The system autonomously identifies specific research gaps, designs experiments, and refines results to achieve high-quality output.

What is an autonomous auto-review loop for automated paper refinement?▼

An autonomous auto-review loop for paper refinement iteratively evaluates and improves experimental results and writing. It continuously checks submission readiness until the final output meets high-quality scientific publication standards.

How do I run a full experimentation pipeline including implementation and deployment?▼

Running a full experimentation pipeline requires orchestrating implementation, deployment, and execution of experiments within a multi-stage workflow. The system manages this autonomously, including an iterative review and refinement loop for the results.

Does automated research lifecycle management require external dependencies or scripts?▼

Automated research lifecycle management does not require external dependencies, as it operates using internal scripts and references. You provide a broad research direction, and the system autonomously navigates the entire pipeline.

When should I not use an automated research pipeline?▼

You should not use an automated research pipeline if your research requires manual intervention, subjective hypothesis generation, or external experimental deployment outside of its autonomous multi-stage workflow and iterative auto-review loop.