auto-experiment
Launch an autonomous THINKโEXECUTEโREFLECT experiment loop on a GPU project
Deep analysis of a single paper with figure extraction from arXiv source
Claude Code
$ npx -y skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill paper-analyze --agent claude-code
Codex
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill paper-analyze -a codex -y
Cursor
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill paper-analyze -a cursor -y
Gemini CLI
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill paper-analyze -a gemini-cli -y
GitHub Copilot
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill paper-analyze -a github-copilot -y
OpenCode
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill paper-analyze -a opencode -y
Windsurf
$ npx skills add Xiangyue-Zhang/auto-deep-researcher-24x7 --skill paper-analyze -a windsurf -y
name: paper-analyze description: "Deep analysis of a single paper with figure extraction from arXiv source"
Perform deep analysis of a single academic paper.
Claude Code: /paper-analyze <arxiv_id or url> Codex: $paper-analyze
1. Fetch paper metadata from arXiv API 2. Attempt to download arXiv source package (.tar.gz) 3. Extract actual figures from source (not screenshots) 4. Read the full paper (PDF if source unavailable) 5. Generate structured analysis
Priority order: 1. arXiv source package โ extract .png/.jpg/.pdf figures 2. PDF extraction as fallback 3. Name files with arxiv_id prefix to avoid collisions
# [Paper Title] **arXiv**: [id] | **Authors**: ... | **Year**: ... ## Problem What specific problem does this paper address? ## Motivation Why is this problem important? What gap exists? ## Method Detailed technical approach with key equations/algorithms.  ## Experiments - Datasets, baselines, metrics - Key results table - Ablation findings ## Insights - What can we learn and apply? - Strengths and limitations - Connections to our research
๐ฅ An autonomous AI agent that runs your deep learning experiments 24/7 while you sleep. Zero-cost monitoring, Leader-Worker architecture, constant-size memory.
Launch an autonomous THINKโEXECUTEโREFLECT experiment loop on a GPU project
Daily arXiv paper recommendations with automatic deduplication
Check GPU status, running experiments, and available resources
Refresh Obsidian dashboard and daily notes from current experiment state
Direct browser control via CDP for web interaction: automation, scraping, testing, screenshots, and site/app work. Also coversโฆ
Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, fillingโฆ