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implement-paper执行纸

Agent Skill

implement-paper 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

17,724

周安装

724

GitHub Stars

126

下载量

5,676
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安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:implement-paper(执行纸)
来源仓库:https://github.com/marimo-team/skills
仓库路径:skills/implement-paper
安装命令:
npx skills add https://github.com/marimo-team/skills --skill implement-paper
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/marimo-team/skills --skill implement-paper

简介

implement-paper 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。

  • 适用于研究类任务,如查找技术方案、筛选参考资料或匹配开发需求。
  • 通过 npx skills add 命令安装,需结合来源 README 核验具体用法。
  • 使用前建议确认权限范围和是否会触发联网或文件操作。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Implement Paper

Turn a research paper into an interactive marimo notebook. For general marimo notebook conventions (cell structure, PEP 723 metadata, output rendering, marimo check, variable naming, etc.), refer to the marimo-notebook skill.

Step 1: Understand what the user wants

Before fetching or reading anything, have a short conversation to scope the work. Ask the user:

  • Which part of the paper interests you most? A paper may have multiple contributions — the user likely cares about one or two. Don't implement the whole thing.
  • What's the goal? Are they trying to understand the method, reproduce a result, adapt it to their own data, or teach it to someone else? This changes the notebook's tone and depth.
  • Do they want to use a specific dataset? If it's relevant, ask. Otherwise, suggest simulating data.
  • Does this require PyTorch? Some papers need it, many don't. Ask if unclear — it's a heavy dependency.
  • What's their background? The paper aims to fill a knowledge gap — gauge what the user already knows so the notebook can meet them where they are. Skip basics they're familiar with, explain prerequisites they're not.

Only move on once you have a clear picture of what to build.

Step 2: Fetch the paper

If the user gives you an Arxiv/AlphaXiv link, you will an efficient way to read the paper.

See references/fetching-papers.md for how to retrieve paper content via alphaxiv.org. This avoids reading raw PDFs and gives you structured markdown.

Step 3: Plan the notebook

After reading the paper, outline the notebook structure for the user before writing code.

Keep the notebook as small as possible. Sometimes the idea is best conveyed with just a single interactive widget — if you need a custom one, consider the anywidget skill. Other times you need a full training loop — if so, consider using the marimo-batch skill for heavy computation. The goal is the minimum amount of code needed to get the idea across.

A typical arc:

SectionPurposeTypical elements
Title & contextOrient the readermo.md() with paper title, authors, link
BackgroundSet up prerequisitesMarkdown + equations
MethodCore algorithm step-by-stepCode + markdown interleaved
ExperimentsReproduce key resultsInteractive widgets + plots
ConclusionSummarize takeawaysmo.md()

Not every notebook needs all sections. Share the outline with the user and adjust before writing code.

Step 4: Build the notebook

Create the marimo notebook following the marimo-notebook skill conventions.

Key guidelines:

  • Never assume the dataset. Use whatever the user specified in Step 1. If they didn't specify one, simulate data.
  • Make it self-contained. A reader should understand the notebook without reading the full paper.
  • Use KaTeX for equations. Render key equations with mo.md(r"""$...$""") so the notebook mirrors the paper's notation. Keep notation consistent with the paper.
  • Add interactivity where it aids understanding. Sliders for hyperparameters, dropdowns for dataset variants, or toggles for ablations help readers build intuition.
  • Show, don't just tell. Prefer a plot or table over a paragraph of explanation.
  • Name variables to match the paper's notation where practical (e.g., alpha, X, W), and add comments mapping them to equation numbers.

Tips

  • Don't reproduce the entire paper. Focus on what the user asked about in Step 1.
  • Iterate visually. Build up figures incrementally (e.g., show data → show model fit → show residuals) rather than dumping everything into one plot.
  • If the paper uses heavy notation, include a small "notation reference" cell with a markdown table mapping symbols to descriptions.

If the user wants a custom anywidget, refer to references/ANYWIDGET.md.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

38.09%
按下载量换算2,162

Claude

29.53%
按下载量换算1,676

Cursor

17.95%
按下载量换算1,019

Gemini CLI

9.38%
按下载量换算532

安全审计

Gen Agent Trust Hub

通过

Socket

可疑

Snyk

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

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