research-pipeline

Name: research-pipeline
Availability: InStock
Author: leo1349

Automate the end-to-end research lifecycle from idea discovery to paper writing.

Updated May 22, 2026

Search Tags:#research automation #research workflow #paper writing #experiment deployment #idea discovery

Ready to run

npx skills add https://github.com/Leo1349/autoresearch --skill research-pipeline-leo1349

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-pipeline
Source: https://github.com/Leo1349/autoresearch/tree/main/skills/research-pipeline
Command: npx skills add https://github.com/Leo1349/autoresearch --skill research-pipeline-leo1349

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @openai/codex, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the entire research process, from generating ideas to writing and submitting a paper, reducing the complexity and time required for research.

Core Features & Use Cases

Idea Discovery: Generate and validate research ideas with novelty checks.
Implementation: Implement experiments and code based on selected ideas.
Experiment Deployment: Deploy experiments across multiple GPUs and servers.
Auto Review Loop: Automate the review process to refine and improve results.
Final Summary: Generate a comprehensive report summarizing the research journey.

Quick Start

Start the research pipeline with the topic 'factorized gap in discrete diffusion language models'.

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 workflow from idea discovery to paper writing?▼

You can automate the end-to-end research workflow by using a pipeline that handles literature search, idea generation, experiment planning, and paper writing. This process requires a Codex CLI executor to run.

Can I deploy experiments across multiple GPUs automatically?▼

Yes, experiment deployment across multiple GPUs and servers is supported. The pipeline automates implementing and running experiments based on your selected and validated research ideas.

How does automated novelty checking work for research idea generation?▼

Automated novelty checking generates research ideas and validates them against existing literature. The pipeline integrates literature search to ensure generated concepts possess sufficient originality before implementation.

Do I need a Codex CLI executor to run the auto review loop?▼

Yes, a Codex CLI executor is required to run the auto review loop and execute the pipeline. Optional MCP reviewers can also be integrated to further refine and improve research results.

What is the best way to generate a submission-ready paper automatically?▼

The best way to generate a submission-ready paper is using an automated research lifecycle pipeline. It processes your experiments through an auto-review loop and outputs a final summary report of the research journey.