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chenghaoYang
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research-pipeline

Orchestrate an end-to-end research pipeline from idea discovery to manuscript draft.

2|Updated Mar 19, 2026
Search Tags:#automation#research#pipeline#arxiv#experiments#auto-review#idea-discovery
One-click install
npx skills add https://github.com/chenghaoYang/auto-coder-trainer --skill research-pipeline-chenghaoyang
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: research-pipeline
Source: https://github.com/chenghaoYang/auto-coder-trainer/tree/main/aris/skills/research-pipeline
Command: npx skills add https://github.com/chenghaoYang/auto-coder-trainer --skill research-pipeline-chenghaoyang

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the full research lifecycle from idea discovery to submission-ready paper, reducing time and manual coordination.

Core Features & Use Cases

  • Idea discovery and literature survey orchestration
  • Implementation and reproducible experiment deployment
  • Auto-review loop with iterative improvements and reporting
  • Generated artifacts: IDEA_REPORT.md, AUTO_REVIEW.md, final manuscript draft

Quick Start

Provide a research direction to start the end-to-end pipeline.

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 research workflow by orchestrating an end-to-end pipeline that handles idea discovery, experiment planning, and iterative improvements to generate a submission-ready paper.

How does the auto-review loop work for iterative experiment improvements?▼

The auto-review loop evaluates experimental results and automatically applies iterative improvements, generating an AUTO_REVIEW.md artifact to track evaluation and reporting across multiple stages.

Can I integrate arxiv literature into an automated experiment pipeline?▼

Yes, the pipeline supports arxiv integration via configurable ARXIV_DOWNLOAD gates, enabling literature survey orchestration and idea discovery based on downloaded papers.

What is the best way to enforce staged execution in an autonomous research lifecycle?▼

Staged execution is enforced through configurable gates like AUTO_PROCEED and HUMAN_CHECKPOINT, ensuring controlled progression across idea discovery, implementation, and experiment evaluation.

Do I need manual checkpoints when running automated experiments and idea generation?▼

Manual checkpoints are optional; you can configure HUMAN_CHECKPOINT gates to pause the pipeline for review, or enable AUTO_PROCEED to run the autonomous research lifecycle continuously.

What artifacts are generated by an end-to-end autonomous research pipeline?▼

The pipeline generates stage-specific artifacts including IDEA_REPORT.md for idea discovery, AUTO_REVIEW.md for evaluation feedback, and a final manuscript draft for submission.

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