@rwayne: ScienceClaw — AI assistant framework integrating 285 research skills. ScienceClaw is a framework that modularizes the entire research workflow into 285 Skills. PubMed, Semantic Scholar, ArXiv all connected at once, all can be used by L…

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Summary

ScienceClaw is an AI assistant framework integrating 285 research skills, modularizing the entire research workflow into Skills. It supports connecting to databases such as PubMed, Semantic Scholar, and ArXiv, providing functions like literature search, paper deep reading, citation analysis, experimental design assistance, and writing assistance. It is suitable for advanced users who want deep customization.

ScienceClaw — AI assistant framework integrating 285 research skills. ScienceClaw is a framework that modularizes the entire research workflow into 285 Skills. PubMed, Semantic Scholar, ArXiv all connected at once, all can be called by LLMs. Core capabilities: - Multi-source literature search: PubMed + Semantic Scholar + ArXiv + Google Scholar - Paper deep reading: Extract methods, results, limitations by chapters - Citation network analysis: Identify core references, track school inheritance - Experimental design assistance: Recommend statistical methods based on research questions - Writing assistance: Abstract polishing, automatic Introduction generation Suitable for advanced users who want to deeply customize AI assistants for long-term research projects. For lighter needs, ArXiv MCP is sufficient.
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