---
name: Daily Papers
slug: daily-papers
category: Automation
description: "Daily Papers searches arXiv for recent papers relevant to a user's research interests and deduplicates recommendations. Use it inside Claude Code or Codex to get a daily ranked briefing of new papers with detailed analysis."
github: "https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/daily-papers"
language: Python
stars: 1279
forks: 111
install: "npx degit https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/daily-papers ~/.claude/skills/daily-papers"
installs_to: ~/.claude/skills/daily-papers
source_path: skills/daily-papers/SKILL.md
collection_size: 8
category_size: 1523
collection_url: "https://dirskills.com/collections/Xiangyue-Zhang/auto-deep-researcher-24x7"
added: 2026-08-20T07:55:03.985Z
last_synced: 2026-08-20T07:55:03.985Z
canonical_url: "https://dirskills.com/skills/daily-papers"
---

# Daily Papers

Daily Papers searches arXiv for recent papers relevant to a user's research interests and deduplicates recommendations. Use it inside Claude Code or Codex to get a daily ranked briefing of new papers with detailed analysis.

**Install:**

```bash
npx degit https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7/tree/main/skills/daily-papers ~/.claude/skills/daily-papers
```

## README

# daily-papers

Search arXiv for the latest papers relevant to the user's research interests.

Invoke as `/daily-papers` in Claude Code or `$daily-papers` in Codex.

## Behavior

1. Ask the user for topics if not provided (or use defaults from config)
2. Search arXiv for papers published in the last 1-3 days
3. Check against previously recommended papers (dedup)
4. Rank by relevance to the user's research
5. For top 5: provide detailed analysis (motivation, method, key results, insights)
6. For next 5: provide brief summaries
7. Save recommendations to a dated markdown file

## Deduplication

Maintain a list of previously recommended paper IDs. Never recommend the same paper twice.

## Output Format

```markdown
# Daily Paper Recommendations — YYYY-MM-DD

## Top Picks (Detailed)

### 1. [Paper Title](arxiv_url)
**Authors**: ...
**Relevance**: Why this matters for your research
**Motivation**: What problem they solve
**Method**: Key technical approach
**Results**: Main findings
**Insight**: What you can learn from this

### 2. ...

## Also Worth Reading

### 6. [Paper Title](arxiv_url) — One-line summary
...
```