research-synth

Extract structured sections and generate summaries from research papers.

Updated Jun 21, 2026

Search Tags:#academic research #research workflow #structured notes #paper synthesis #AI knowledge management

Ready to run

npx skills add https://github.com/infantesromeroadrian/arca-agent --skill research-synth

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: research-synth
Source: https://github.com/infantesromeroadrian/arca-agent/tree/main/template/skills/research-synth
Command: npx skills add https://github.com/infantesromeroadrian/arca-agent --skill research-synth

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill transforms research papers into structured notes, bridging the gap between reading and applying findings to your ML/AI projects.

Core Features & Use Cases

Paper Synthesis: Extracts structured sections from a paper and creates an executive summary.
Note Persistence: Saves notes to Obsidian and optionally generates an audio brief.
Use Case: Use this Skill to synthesize a paper with an arXiv ID, saving the summary and notes directly to your research workflow.

Quick Start

Use the research-synth skill with the arXiv ID '2404.12345' to generate a summary and notes.

Frequently Asked Questions about research-synth

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

FAQPage Schema

How do I synthesize an arXiv research paper into structured notes?▼

To synthesize research papers, provide the arXiv ID to extract structured sections and generate an executive summary. The output is saved directly as actionable notes for your ML/AI projects.

Can I save my AI research paper summaries directly to Obsidian?▼

Yes, research paper summaries are saved to Obsidian for note persistence. The Skill bridges reading and applying findings by storing the extracted structured sections in your knowledge base.

What is the best way to extract metadata and citations from ML papers?▼

Extracting metadata and resolving citations from ML papers is handled automatically during the synthesis process. The Skill processes the document to pull structured sections and generate actionable notes.

Does this paper synthesis workflow require access to academic databases?▼

Yes, applying this ML/AI research workflow requires access to academic databases and structured note-taking tools. It processes papers by extracting sections and resolving citations from these sources.

Can I generate an audio brief from my academic research notes?▼

Yes, an audio brief can be optionally generated alongside saving your research notes. This provides an alternative way to consume the executive summary extracted from your academic papers.

Why use structured notes for machine learning research projects?▼

Structured notes bridge the gap between reading research papers and applying findings to ML/AI projects. They provide an executive summary and extracted sections to make academic knowledge actionable.