implement-paper 是做什麼的？
與使用者共同將研究論文實作成交互式 marimo 筆記本。先了解使用者想探索的內容，透過 alphaxiv 取得論文，再建立重點筆記本。
與使用者共同將研究論文實作成交互式 marimo 筆記本。先了解使用者想探索的內容，透過 alphaxiv 取得論文，再建立重點筆記本。
此技能讓 AI 代理（如 Claude Code、Cursor、Codex）能與使用者協作，將學術研究論文實作成交互式 marimo 筆記本。它首先透過對話了解使用者的探索目標，接著使用 alphaxiv 服務自動擷取論文 PDF 或 arXiv 摘要，最後根據論文內容與使用者需求，逐步建構一個具備可視化、互動控制項的 marimo 筆記本。這項功能對於研究者、工程師或學生特別有用，能加速從論文閱讀到互動原型開發的過程，降低理解門檻，並提升重現性。支援 marimo 平台，透過明確的步驟和反饋機制確保筆記本準確反映論文核心概念。
npx skills add https://github.com/marimo-team/skills/tree/main/skills/implement-paperInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
與使用者共同將研究論文實作成交互式 marimo 筆記本。先了解使用者想探索的內容，透過 alphaxiv 取得論文，再建立重點筆記本。
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.