academic-paper-professor 是做什么的?
一个通用的大语言模型智能体技能,用于帮助你深入详细地分析任何学术论文。
一个通用的大语言模型智能体技能,用于帮助你深入详细地分析任何学术论文。
这个技能名为 Richard-ZSR/academic-paper-professor,它是一个通用的大语言模型(LLM)智能体技能,旨在帮助用户对任何学术论文进行详细而深入的分析。该技能支持广泛的论文类型和学科领域,用户只需提供论文内容(例如通过上传 PDF 或粘贴文本),智能体即可自动进行结构化分析,包括论文摘要、研究背景、方法学、实验设计、结果解读、局限性分析以及未来工作方向等。该技能适用于 Claude Code、Cursor、Codex 等支持自定义技能的 AI 编程助手平台,其工作原理基于在 SKILL.md 中定义的提示词模板和任务指令,引导 LLM 像一位严谨的学术教授一样对论文进行多维度剖析。对于需要快速理解复杂论文、进行文献综述或评估研究贡献的开发者和研究人员来说,这是一个非常实用的工具。
npx skills add Richard-ZSR/academic-paper-professorInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
一个通用的大语言模型智能体技能,用于帮助你深入详细地分析任何学术论文。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.