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install-scientify

Install Scientify - AI-powered research workflow automation plugin. Adds skills for idea-generation, literature-review, research-pipeline, arxiv search, and workspace management commands.

Why use this skill?

Automate your research workflow with Scientify. Features arXiv integration, AI-powered literature review, idea generation, and structured project management for OpenClaw.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/springleave/install-scientify
Or

What This Skill Does

Scientify is an advanced research workflow automation plugin designed specifically for OpenClaw. It transforms your environment into an AI-powered research assistant capable of managing the entire lifecycle of academic and technical inquiry. By integrating directly with arXiv and local workspace tools, it bridges the gap between raw data collection and actionable output. The skill suite includes LLM-powered capabilities like automated literature reviews, sophisticated research pipeline management, and an intelligent idea-generation engine that scans arXiv and GitHub to propose novel research directions. Additionally, it provides a robust set of direct commands to manage your research projects, track paper lists, and monitor your overall progress without relying on context-heavy LLM inferences.

Installation

To install the Scientify plugin, you can use the OpenClaw package manager directly: clawhub install openclaw/skills/skills/springleave/install-scientify. Alternatively, for a manual global installation, run npm install -g scientify. Once the package is installed, you must register the plugin in your main OpenClaw configuration file by adding "scientify" to the "plugins" array in your JSON config. Restart your OpenClaw agent to initialize the new commands and tools.

Use Cases

  • Literature Synthesis: Automatically download, categorize, and summarize large batches of academic papers.
  • Project Management: Use /project-switch and /papers to keep your research organized across multiple concurrent tracks.
  • Automated Research Loops: Deploy the research-pipeline to move from initial idea formation to structural implementation plans seamlessly.
  • Trend Tracking: Monitor specific research niches by setting up automated checks for new arXiv entries that match your specific interests.

Example Prompts

  1. "帮我调研 '长文档摘要' 领域,生成一些创新的研究想法"
  2. "帮我设置一个定时任务,每天检查 arXiv 上关于 'transformer efficiency' 的新论文,发到飞书"
  3. "分析当前所有已下载论文的共同痛点,并列出下一个项目可能的改进方向"

Tips & Limitations

To get the best results, always ensure your project environment is clean; use /project-delete to prune abandoned inquiries. Note that Scientify requires active network access to query the arXiv API and download resources. Since it interacts with local files, ensure your filesystem permissions are configured correctly for the directory where OpenClaw stores research data. Be mindful of token usage when running extensive literature reviews, as processing multiple large .tex files simultaneously can consume significant LLM resources.

Metadata

Stars982
Views9
Updated2026-02-14
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-springleave-install-scientify": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags(AI)

#research#arxiv#automation#academic#workflow
Safety Score: 4/5

Flags: network-access, file-write, file-read, external-api