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research-pipeline

Automate research pipelines from idea discovery to submission-ready papers.

Updated Apr 2, 2026
Search Tags:#automation#research#pipeline#experiments#auto-review#idea-discovery
One-click install
npx skills add https://github.com/dz306271098/ARIS_for_Robotics --skill research-pipeline-dz306271098
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-pipeline
Source: https://github.com/dz306271098/ARIS_for_Robotics/tree/main/skills/research-pipeline
Command: npx skills add https://github.com/dz306271098/ARIS_for_Robotics --skill research-pipeline-dz306271098

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This pipeline automates the entire lifecycle of a research project, from idea discovery through experiments and submission, enabling hands-off progress and consistent results.

Core Features & Use Cases

  • End-to-end orchestration of idea discovery, implementation, runs, auto-review, and final reporting for autonomous research projects.
  • Configurable gates and autonomous decision logging, with options for auto-proceed or human checkpoints and optional deep-innovation loops.
  • Integration-friendly workflow that coordinates multiple sub-skills (idea-discovery, run-experiment, auto-review-loop, etc.) and writes progress to self-contained outputs.

Quick Start

Invoke the full pipeline with your topic, using /research-pipeline "topic" and optional flags to configure AUTO_PROCEED, ARXIV_DOWNLOAD, and DEEP_INNOVATION.

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 pipeline from idea discovery to paper submission?▼

To automate the research pipeline, you orchestrate the full lifecycle by invoking the pipeline with a topic, enabling hands-off progress from idea discovery through experiments, auto-review, and final reporting.

What is an autonomous research pipeline and how does it manage experiments?▼

An autonomous research pipeline is an automated workflow that manages the entire research lifecycle, coordinating sub-skills for idea discovery, experiment runs, and auto-review loops with configurable gates for decision logging.

Can I configure human checkpoints in an automated research workflow?▼

Yes, you can configure human checkpoints in the automated research workflow by setting gate options, allowing you to choose between auto-proceed for hands-off progress or manual review at critical lifecycle stages.

Does the research pipeline support deep innovation loops for experiments?▼

Yes, the research pipeline supports optional deep innovation loops for experiments, enabling advanced iterative exploration alongside its core end-to-end orchestration of discovery, implementation, and final reporting.

What is the best way to coordinate multiple sub-skills for autonomous research?▼

The best way to coordinate sub-skills for autonomous research is using an integration-friendly orchestration pipeline that manages idea-discovery, run-experiment, and auto-review-loop while writing self-contained outputs.

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