implement-paper 是做什么的？
与用户协作，将研究论文实现为交互式 marimo 笔记本。首先了解用户想要探索的内容，通过 alphaxiv 获取论文，然后构建一个重点突出的笔记本。
与用户协作，将研究论文实现为交互式 marimo 笔记本。首先了解用户想要探索的内容，通过 alphaxiv 获取论文，然后构建一个重点突出的笔记本。
此技能旨在与用户协同工作，将一篇研究论文的核心内容转化为一个可交互的 marimo 笔记本。它的主要用途是帮助用户快速理解并动手实践论文中的概念、算法或实验结果。通过支持平台（如 marimo 和 alphaxiv），该技能首先会通过与用户对话明确探索目标，然后自动从 alphaxiv 服务获取论文全文。随后，它会引导用户逐步构建一个包含可运行代码、可视化和说明文字的交互式笔记本。整个过程强调专注性和协作性，确保笔记本内容紧扣用户需求，从而极大提升科研复现和教学演示的效率。该技能适用于研究人员、学生以及任何希望将学术论文转化为可交互项目的开发者。
npx skills add https://github.com/marimo-team/skills/tree/main/skills/implement-paperInstalled? 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 →
与用户协作，将研究论文实现为交互式 marimo 笔记本。首先了解用户想要探索的内容，通过 alphaxiv 获取论文，然后构建一个重点突出的笔记本。
This repo contains 7 individual skills — each has its own dedicated page.
Add "Open in molab" badge(s) linking to marimo notebooks. Works with READMEs, docs, websites, or any markdown/HTML target.
Generate anywidget components for marimo notebooks.
Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py).
An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.
Write a marimo notebook in a Python file in the right format.
Convert a Streamlit app to a marimo notebook
Check if a marimo notebook is compatible with WebAssembly (WASM) and report any issues.
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.