survey-pipeline

Automate end-to-end survey construction from topic refinement to final draft.

1|Updated Mar 25, 2026

Search Tags:#automation #taxonomy #survey #arxiv #literature-review #gap-identification #survey-writing

Ready to run

npx skills add https://github.com/HeXiao-55/Auto-SurveyMind --skill survey-pipeline

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: survey-pipeline
Source: https://github.com/HeXiao-55/Auto-SurveyMind/tree/main/skills/survey-pipeline
Command: npx skills add https://github.com/HeXiao-55/Auto-SurveyMind --skill survey-pipeline

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates the entire process of turning a fuzzy research idea into a structured survey document, coordinating brainstorming, literature discovery, analysis, taxonomy, gap identification, and writing.

Core Features & Use Cases

End-to-end pipeline from idea to SURVEY_DRAFT.md
Integrates brainstorming, arXiv literature discovery, paper analysis, taxonomy building, gap identification, and survey writing
Generates standardized outputs and traceable citations for reproducibility

Quick Start

Begin by sharing a topic and issuing the /survey-pipeline command to start the end-to-end workflow.

Frequently Asked Questions about survey-pipeline

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

FAQPage Schema

How do I automate an arXiv literature review from a fuzzy research idea to a final draft?▼

Yes, you can automate survey writing through a staged pipeline that handles brainstorming, arXiv literature discovery, paper analysis, taxonomy building, gap identification, and draft generation. It outputs structured markdown files like SURVEY_DRAFT.md for final review.

How does taxonomy and gap analysis work when constructing a research survey?▼

Creating a literature-backed survey requires defining a research topic, executing the pipeline for arXiv discovery, and reviewing generated outputs including SURVEY_SCOPE.md, paper_analysis, taxonomy.md, gap_analysis.md, and SURVEY_DRAFT.md. No specific prerequisites are needed beyond an initial research idea.

Can I use this automated survey pipeline for complex topics like graph neural networks or multimodal reasoning?▼

Using an automated survey pipeline distinguishes itself from manual literature reviews by coordinating brainstorming, arXiv discovery, taxonomy building, and gap analysis end-to-end. It generates standardized, machine-readable outputs with traceable citations, ensuring reproducibility that manual methods often lack.

What's the best way to identify research gaps for a literature review automatically?▼

Limitations of automated survey generation include the reliance on arXiv literature discovery, meaning non-arXiv publications might be excluded from the analysis. Additionally, while it generates a SURVEY_DRAFT.md, researchers must still manually review the taxonomy and gap analysis to ensure academic accuracy.