daily-papers
Daily Papers automatically searches arXiv for the latest research matching user-specified topics, then delivers personalized recommendations with intelligent deduplication to prevent duplicate suggestions. Use this skill to stay current with recent publications in your field, receiving detailed analyses of the top five papers and brief summaries of five additional relevant results, all archived in dated markdown files for easy reference and tracking.
git clone --depth 1 https://github.com/Xiangyue-Zhang/auto-deep-researcher-24x7 /tmp/daily-papers && cp -r /tmp/daily-papers/skills/daily-papers ~/.claude/skills/daily-papersSKILL.md
# 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 ... ```
Experiment implementation, execution, and monitoring
Literature search and hypothesis formation
Central decision-maker that plans experiments and reflects on results
Report generation and paper writing
Launch an autonomous THINK→EXECUTE→REFLECT experiment loop on a GPU project
Search papers from top AI/ML conferences
Check status of running autonomous experiment loops
Check GPU status, running experiments, and available resources