Generate a specialized domain-expert research agent modeled on PaperClaw architecture. Use this skill when a user wants to create an AI agent that can automatically search, filter, summarize, and evaluate academic papers in a specific research field. Trigger phrases include help me create a paper tracking agent for my field, I want an agent to monitor latest papers in bioinformatics, build me a paper review agent for computer vision, create a PaperClaw-style agent for my domain, generate a domain-specific paper expert agent. The generated agent is a complete OpenClaw agent with all required skills (arxiv-search, semantic-scholar, paper-review, daily-search, weekly-report) fully adapted for the target domain.
How to install paper-expert-generator?
guhaohao0991/paperclaw/paper-expert-generator
$npx -y skills add guhaohao0991/paperclaw --skill paper-expert-generatorInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/guhaohao0991/paperclaw" --skill "guhaohao0991/paperclaw/paper-expert-generator"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/guhaohao0991/paperclaw" that are relevant to the current task. Run `npx skills add "https://github.com/guhaohao0991/paperclaw"` and select the relevant skills, then follow their instructions.
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