start-my-day

Generates ranked daily paper recommendations for Arkiv and Semantic Scholar in a Markdown note for Obsidian.

9|2|Updated Apr 2, 2026
One-click install
npx skills add https://github.com/zfy465914233/scholar-agent --skill start-my-day-zfy465914233
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: start-my-day
Source: https://github.com/zfy465914233/scholar-agent/tree/main/skills/start-my-day
Command: npx skills add https://github.com/zfy465914233/scholar-agent --skill start-my-day-zfy465914233

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires PyYAML, requests, and includes scripts (resource) components.

What problem does it solve?

This Skill helps researchers and knowledge workers quickly start their daily paper reading workflow by generating a focused set of recent paper recommendations and an initial notes structure.

Core Features & Use Cases

  • Scans your research interests config and vault notes to determine relevant topics.
  • Searches arXiv and Semantic Scholar for recent/popular papers across multiple categories.
  • Ranks papers by a multi-dimensional score and generates a daily notes file with keywords and links.

Quick Start

Run the start-my-day skill to generate today's paper recommendations and corresponding notes.

Frequently Asked Questions about start-my-day

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

FAQPage Schema
How do I automate daily arXiv and Semantic Scholar paper recommendations?

Automate daily paper recommendations by scanning your research notes and querying arXiv and Semantic Scholar. The tool ranks recent papers by relevance, recency, popularity, and quality, then generates a Markdown note with keywords and wikilinks for your daily workflow.

Can I generate Obsidian notes for my daily research workflow?

Yes, you can generate Obsidian notes for daily research workflows. The tool outputs a Markdown note containing ranked paper recommendations, keywords, and wikilinks, configured with specific language settings for direct integration into your vault.

How does the multi-dimensional paper ranking score work?

The multi-dimensional paper ranking evaluates items based on relevance, recency, popularity, and quality. This reproducible scoring pipeline processes search results from arXiv and Semantic Scholar to filter and sort the most valuable papers for your daily reading list.

Do I need to configure my research interests before searching for daily papers?

You need to configure your research interests and maintain vault notes before searching. The tool scans these configurations and notes to determine relevant topics, ensuring the daily paper recommendations and generated Markdown notes align with your specific research focus.

What is the best way to track trending academic papers across multiple categories?

Track trending academic papers across multiple categories by running the daily automation tool. It queries both arXiv and Semantic Scholar for recent and popular papers, applying a multi-dimensional score to generate a focused, ranked Markdown note for your research.