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koki3141
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daily-paper-generator

Discover, review, and summarize arXiv papers on EEG decoding with bilingual reviews.

2|Updated Jul 9, 2026
Search Tags:#arXiv#paper summary#EEG decoding#brain decoding#neural foundation models
One-click install
npx skills add https://github.com/koki3141/codex-global-skills --skill daily-paper-generator-koki3141
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: daily-paper-generator
Source: https://github.com/koki3141/codex-global-skills/tree/main/daily-paper-generator
Command: npx skills add https://github.com/koki3141/codex-global-skills --skill daily-paper-generator-koki3141

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python, chrome-mcp-helper, and includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill automates the workflow of discovering, reviewing, and summarizing recent research papers on arXiv related to EEG decoding, brain-computer interfaces, and neural foundation models, saving time and ensuring comprehensive coverage.

Core Features & Use Cases

  • Automated Paper Discovery: Searches arXiv for recent papers on EEG decoding, speech decoding from EEG, or brain foundation models.
  • Quality Evaluation: Evaluates paper quality using structured criteria.
  • Summary Generation: Generates structured summaries with Chinese and English reviews.
  • Use Case: Ideal for researchers and professionals who need to stay updated with the latest research in neuro/AI intersection.

Quick Start

Generate daily paper summaries for EEG/brain decoding research.

Frequently Asked Questions about daily-paper-generator

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

FAQPage Schema
How do I automate arXiv paper discovery and summary for EEG decoding research?▼

This Skill automates discovering and summarizing recent arXiv papers on EEG decoding and brain foundation models, evaluating quality and generating structured Chinese and English reviews.

What is the best way to stay updated on brain decoding and neural foundation model papers?▼

Automating your daily review workflow is the best way to stay updated, evaluating arXiv publications on neural foundation models and outputting structured bilingual summaries.

Do I need Python and Chrome browser automation to generate speech decoding from EEG paper summaries?▼

Yes, you need Python and Chrome browser automation tools to run this Skill, as it relies on chrome-mcp-helper to discover and process recent arXiv papers on speech decoding from EEG.

Can I get both Chinese and English reviews for brain-computer interface papers?▼

Yes, you can get both Chinese and English reviews for brain-computer interface papers, as the summary generation feature outputs structured evaluations in both languages.

How does paper quality evaluation work for arXiv neural foundation model publications?▼

Paper quality evaluation for arXiv neural foundation model publications works by applying structured criteria to assess research papers during the automated discovery and review process.

What are the limitations of using automated arXiv review for brain decoding research?▼

Limitations include relying on Chrome browser automation and Python environments, with scope strictly limited to arXiv papers on EEG decoding, brain-computer interfaces, and neural foundation models.

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