<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>科研 on Text Matrix</title><link>https://txtmix.com/tags/%E7%A7%91%E7%A0%94/</link><description>Recent content in 科研 on Text Matrix</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sat, 23 May 2026 08:55:34 +0800</lastBuildDate><atom:link href="https://txtmix.com/tags/%E7%A7%91%E7%A0%94/index.xml" rel="self" type="application/rss+xml"/><item><title>Academic Research Skills - 科研全流程AI辅助工具（面向Claude Code）</title><link>https://txtmix.com/posts/tech/academic-research-skills-claude-code-scientific-writing/</link><pubDate>Mon, 18 May 2026 00:00:00 +0000</pubDate><guid>https://txtmix.com/posts/tech/academic-research-skills-claude-code-scientific-writing/</guid><description>&lt;h1 id="academic-research-skills科研全流程-ai-辅助工具面向-claude-code">Academic Research Skills：科研全流程 AI 辅助工具（面向 Claude Code）&lt;/h1>
&lt;p>&lt;strong>Stars: 10,578&lt;/strong> | &lt;strong>今日: +1,132&lt;/strong> | &lt;strong>Python&lt;/strong>&lt;/p>
&lt;p>GitHub: &lt;a href="https://github.com/Imbad0202/academic-research-skills" target="_blank" rel="noopener noreffer ">Imbad0202/academic-research-skills&lt;/a>&lt;/p>
&lt;h2 id="一句话评价">一句话评价&lt;/h2>
&lt;p>为 Claude Code 打造的完整学术研究工作流，从文献检索、综述写作、同行评审到引用核查，覆盖科研论文全生命周期，v3.9.3 内置幻觉检测、信任链溯源和事实审计功能，避免 AI 辅助写作的常见陷阱。&lt;/p></description></item><item><title>Scientific Agent Skills：AI科学家必备的134个科研技能库</title><link>https://txtmix.com/posts/tech/scientific-agent-skills-ai-scientist-complete-guide/</link><pubDate>Sun, 12 Apr 2026 02:31:39 +0800</pubDate><guid>https://txtmix.com/posts/tech/scientific-agent-skills-ai-scientist-complete-guide/</guid><description>&lt;h1 id="scientific-agent-skillsai科学家必备的134个科研技能库">Scientific Agent Skills：AI科学家必备的134个科研技能库&lt;/h1>
&lt;h2 id="一项目概述">一、项目概述&lt;/h2>
&lt;h3 id="11-scientific-agent-skills-是什么">1.1 Scientific Agent Skills 是什么&lt;/h3>
&lt;p>&lt;strong>Scientific Agent Skills&lt;/strong> 是 K-Dense 公司开发的&lt;strong>AI科学家技能库&lt;/strong>，包含 134 个精心策划的科研技能，覆盖生物信息学、药物研发、临床研究、机器学习等 17 个科学领域。&lt;/p></description></item></channel></rss>