research-pipeline

Orchestrate an end-to-end research lifecycle from idea discovery to submission-ready paper.

Updated Apr 1, 2026

Search Tags:#automation #workflow #research #pipeline #autonomy #manuscript #experimentation

Ready to run

npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill research-pipeline-wenwen555

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-pipeline
Source: https://github.com/Wenwen555/ARIS-LVLM/tree/main/skills/research-pipeline
Command: npx skills add https://github.com/Wenwen555/ARIS-LVLM --skill research-pipeline-wenwen555

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the full research lifecycle from idea discovery through submission-ready manuscript, reducing manual orchestration and speeding up end-to-end experiments.

Core Features & Use Cases

Stage-driven pipeline: idea discovery, implementation, run experiments, auto-review loop, and final reporting.
Configurable gates and automation: supports AUTO_PROCEED, ARXIV_DOWNLOAD, HUMAN_CHECKPOINT, and REVIEWER_DIFFICULTY to tailor autonomy and robustness.
Reproducible workflow: integrates standard pipelines, results logging, and progress reporting for research teams.

Quick Start

Start the full life cycle by providing a research direction, for example '/research-pipeline "topic"'.

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 discovery to a submission-ready manuscript?▼

Autonomous research pipelines orchestrate the full lifecycle from idea discovery to submission-ready manuscript by automating idea generation, experiment implementation, and review loops. This pipeline applies configurable gates to control flow and reduce manual orchestration.

How does an auto-review loop work in an automated research workflow?▼

An auto-review loop in an automated research workflow iteratively evaluates experimental results and manuscript drafts against configurable difficulty levels. The pipeline uses this mechanism to refine outputs automatically before reaching the final summary stage.

Can I set human checkpoints in an autonomous experimentation pipeline?▼

Yes, autonomous experimentation pipelines support configurable human checkpoints. You can disable auto-proceed parameters to pause the workflow, allowing manual review and validation between stages like implementation and run-experiment.

What is the best way to generate research ideas and implement experiments automatically?▼

The best way to generate research ideas and implement experiments automatically is using a stage-driven pipeline. It progresses sequentially through idea-discovery and implementation stages, integrating arXiv downloads and results logging to ensure reproducible workflows.

Does the automated research pipeline support downloading papers for idea discovery?▼

Yes, the automated research pipeline supports arXiv downloads during the idea-discovery stage. This feature allows the workflow to autonomously gather relevant literature and background knowledge to drive downstream experimentation.

What are the limitations of fully autonomous manuscript generation pipelines?▼

Fully autonomous manuscript generation pipelines require careful configuration of reviewer difficulty and automation gates to ensure quality. Without human checkpoints, the generated manuscript may lack nuanced context, making manual validation necessary for robust reporting.