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napkin

Powered by Awesome Copilot GitHub contributors from allcontributors.org

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项目 README

来源文件:README.md

抓取于 2026年7月31日

🤖 Awesome GitHub Copilot

Powered by Awesome Copilot GitHub contributors from allcontributors.org

A community-created collection of custom agents, instructions, skills, hooks, workflows, and plugins to supercharge your GitHub Copilot experience.

[!TIP] Explore the full collection on the website → awesome-copilot.github.com

The website offers full-text search and filtering across hundreds of resources, plus the Learning Hub for guides and tutorials.

Using this collection in an AI agent? A machine-readable llms.txt is available with structured listings of all agents, instructions, and skills.

📖 Learning Hub

New to GitHub Copilot customization? The Learning Hub on the website offers curated articles, walkthroughs, and reference material — covering everything from core concepts like agents, skills, and instructions to hands-on guides for hooks, agentic workflows, MCP servers, and the Copilot coding agent.

What's in this repo

ResourceDescriptionBrowse
🤖 AgentsSpecialized Copilot agents that integrate with MCP serversAll agents →
📋 InstructionsCoding standards applied automatically by file patternAll instructions →
🎯 SkillsSelf-contained folders with instructions and bundled assetsAll skills →
🔌 PluginsCurated bundles of agents and skills for specific workflowsAll plugins →
🍳 CookbookCopy-paste-ready recipes for working with Copilot APIs—

Install a Plugin

For most users, the Awesome Copilot marketplace is already registered in the Copilot CLI/VS Code, so you can install a plugin directly:

copilot plugin install <plugin-name>@awesome-copilot

If you are using an older Copilot CLI version or a custom setup and see an error that the marketplace is unknown, register it once and then install:

copilot plugin marketplace add github/awesome-copilot
copilot plugin install <plugin-name>@awesome-copilot

Contributing

See CONTRIBUTING.md · AGENTS.md for AI agent guidance · Security · Code of Conduct

The customizations here are sourced from third-party developers. Please inspect any agent and its documentation before installing.

Contributors ✨

Thanks goes to these wonderful people (emoji key):


Aaron Powell

Matt Soucoup

Troy Simeon Taylor

Abbas

Peter Strömberg

Daniel Scott-Raynsford

John Haugabook

Pavel Simsa

Harald Kirschner

Muhammad Ubaid Raza

Tom Meschter

Aung Myo Kyaw

JasonYeMSFT

Jon Corbin

troytaylor-msft

Emerson Delatorre

Burke Holland

Kent Yao

Daniel Meppiel

Gordon Lam

Mads Kristensen

Shinji Takenaka

spectatora

Yohan Lasorsa

Vamshi Verma

James Montemagno

Alessandro Fragnani

Ambily

krushideep

devopsfan

Tugdual Grall

Oren Me

Mike Rousos

Justin Yoo

Guilherme do Amaral Alves

Griffin Ashe

Ashley Childress

Adrien Clerbois

ANGELELLI David

Mark Davis

Matt Vevang

Maximilian Irro

NULLchimp

Peter Karda

Saul Dolgin

Shubham Gaikwad

Theo van Kraay

Tianqi Zhang

Will 保哥

Yuta Matsumura

anschnapp

hizahizi-hizumi

黃健旻 Vincent Huang

Bruno Borges

Steve Magne

Shane Neuville

André Silva

Allen Greaves

Amelia Payne

BBoyBen

Brooke Hamilton

Christopher Harrison

Dan

Dan Wahlin

Debbie O'Brien

Ed Harrod

Genevieve Warren

Guillaume

Henrique Nunes

Jeremiah Snee

Kartik Dhiman

Kristiyan Velkov

msalaman

Per Søderlind

Peter Smulovics

Ravish Rathod

Rick Smit

Rob Simpson

Robert Altman

Salih

Sebastian Gräf

Sebastien DEGODEZ

Sergiy Smyrnov

SomeSolutionsArchitect

Stu Mace

Søren Trudsø Mahon

Tj Vita

Peli de Halleux

Paulo Morgado

Paul Crane

Pamela Fox

Oskar Thornblad

Nischay Sharma

Nikolay Marinov

Nik Sachdeva

Nick Taylor

Nick Brady

Nathan Stanford Sr

Máté Barabás

Mike Parker

Mike Kistler

Giovanni de Almeida Martins

이상현

Ankur Sharma

Wendy Breiding

voidfnc

shane lee

sdanzo-hrb

sauran

samqbush

pareenaverma

oleksiyyurchyna

oceans-of-time

kshashank57

Meii

factory-davidgu

dangelov-qa

BenoitMaucotel

benjisho-aidome

Yuki Omoto

Will Schultz

Waren Gonzaga

Vincent Koc

Victor Williams

Ve Sharma

Vasileios Lahanas

Udaya Veeramreddygari

Tài Lê

Tsubasa Ogawa

Troy Witthoeft (glsauto)

Gerald Versluis

George Dernikos

Gautam

Furkan Enes

Florian Mücke

Felix Arjuna

Eldrick Wega

Dobri Danchev

Diego Gamboa

Derek Clair

David Ortinau

Daniel Abbatt

CypherHK

Craig Bekker

Christophe Peugnet

Christian Lechner

Chris Harris

Artem Saveliev

Antoine Rey

Ankit Das

Aline Ávila

Alexander Martinkevich

Aleksandar Dunchev

Alan Sprecacenere

Akash Kumar Shaw

Abdi Daud

AIAlchemyForge

4regab

Miguel P Z

Michael Fairchild

Michael A. Volz (Flynn)

Michael

Mehmet Ali EROL

Max Prilutskiy

Matteo Bianchi

Mark Noble

Manish Jayaswal

Luke Murray

Louella Creemers

Sai Koumudi Kaluvakolanu

Kenny White

KaloyanGenev

Kim Skov Rasmussen

Julien Dubois

José Antonio Garrido

Joseph Gonzales

Jorge Balderas

John Papa

John

Joe Watkins

Jan de Vries

Jakub Jareš

Jackson Miller

Ioana A

Hunter Hogan

Hashim Warren

Gonzalo

Gisela Torres

Shibi Ramachandran

lupritz

Héctor Benedicte

Ted Vilutis

Anthony Shaw

Chris McKee

CASTResearchLabs

白水淳

Imran Siddique

共产主义接班人

Ivan Charapanau

Tadas Labudis

Alvin Ashcraft

Jan Krivanek

Gregg Cochran

Josh N

ian zhang

Garrett Siegel

Roberto Perez

Dan Velton

Lee Reilly

Daniel Coelho

Vahid Faraji

Ashley Wolf

Noah Jenkins

Jeremy Kohn

Harri Sipola

Toru Makabe

Pham Tien Thuan Phat

Benji Shohet

Amaury Levé

Tim Deschryver

Mohammad Asad Alahmadi

fondoger

Yuval Avidani

Csaba Iváncza

Tim Heuer

lance2k

Andrea Liliana Griffiths

Ajith Raghavan

Catherine Han

Igor Shishkin

Burrito Verde

Joseph Van der Wee

Luiz Bon

Sanjay Ramassery Babu

Russ Rimmerman [MSFT]

Roberto Perez

Shehab Sherif

Smit Patel

Steven Vore

Subhashis Bhowmik

Tim Mulholland

Niels Laute

Pavel Sulimau

PrimedPaul

Zhiqi Pu

Ramyashree Shetty

ZdaPhp

pigd0g

rahulbats

suyask-msft

tagedeep

tinkeringDev

Travis Hill

Utkarsh patrikar

Yauhen

Yiou Li

Yuki Omoto

Abhi Bavishi

augustus-0

Branislav Buna

connerlambden

David Raygoza

Diego Porto Ritzel

Eric Scherlinger

Fatih

Felipe Pessoto

François

Geoffrey Casaubon

Anddd7

Anders Eide

Aymen

Kevin van Zonneveld

Luis Cantero

MV Karan

Marcel Deutzer

Jon Galloway

Josh Beard

Julian

Simon Kurtz

Temitayo Afolabi

JoeVenner

Pasindu Premarathna

ecosystem

Punit

Onur Senturk

Andrew Stellman

Jeonghoon Lee

Satya K

Samik Roy

Simina Pasat

Tyler Garner

Vijay Chegu

DTIBeograd

Anmol Behl

Brad Kinnard

Chad Bentz

Marcello Cuoghi

Josh Johanning

jennyf19

Saravanan Rajaraman

Patel Dhruv

Renee Noble

jjpinto

moeyui1

mohammadali2549

Vladislav Guzey

aparna198809

Ed McAdams

Emil Andersson

Mikael

Mrigank Singh

Jim Bennett

Alishahzad1903

Antonio Villanueva

Tim Hanewich

ming

Scott O'Hara

Salih

Shailesh

Shubham Jiyani

Srinivas Vaddi

Philippe D

Rajesh Goldy

dstrupl

wuwen

Tilak Patel

Vijay Bandi

Zixuan Jiang

Dennis Lembree

Dev Shah

Falco

AJ

Anush

Ayush Saklani

Carlos Alexandro Becker

Mangokernel

Mario Codes

Gonzalo Fleming

Steve Magne

Sertxito

Rayner Zeng

ilderaj

mvanderbend-msoft

Parveen Sharma

pmorong

vinod kumar

Vidhart Bhatia

Xiaoyun Ding

denis-a-evdokimov

Adriano Nogueira

Aezan

Andy Anderson

Kweku Dzata

Marcel

Navaneeth Reddy

James

Joseph Counts

Neha Mandge

Srikanth Patchava

Thomas Ray

Nixon Kurian

Petr Stupka

Pieter de Bruin

sudeepghatak

tlietz

dawright22

Alejandro Fernando Suarez Gomez

Burak Bayır

MUHAMMAD SAMIULLAH

Nikola Metulev

Joseph Kasprzyk

Lovy Jain

kimtth

Akash Dwivedi

Suren K
Add your contributions

This project follows the all-contributors specification. Contributions of any kind welcome!

📚 Additional Resources

™️ Trademarks

This project may contain trademarks or logos for projects, products, or services. Authorized use of Microsoft trademarks or logos is subject to and must follow Microsoft's Trademark & Brand Guidelines. Use of Microsoft trademarks or logos in modified versions of this project must not cause confusion or imply Microsoft sponsorship. Any use of third-party trademarks or logos are subject to those third-party's policies.

数据与 AI浏览器与自动化

高风险

  • 来源需自行核对维护者身份。
  • 包含脚本或命令调用,安装前请复核。
  • 未检测到明显外部权限要求。
  • 存在潜在风险命令,请谨慎安装。
  • 扫描发现:1 条。

Codex — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/github/awesome-copilot.git
  3. 将 "skills/napkin" 文件夹复制到 Codex 的 skills 目录中。
  4. 重启 Codex 让新的 skill 生效。

Codex — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Codex 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Codex 让新的 skill 生效。

Claude Code — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/github/awesome-copilot.git
  3. 将 "skills/napkin" 文件夹复制到 Claude Code 的 skills 目录中。
  4. 重启 Claude Code 让新的 skill 生效。

Claude Code — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Claude Code 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Claude Code 让新的 skill 生效。

Cursor — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/github/awesome-copilot.git
  3. 将 "skills/napkin" 文件夹复制到 Cursor 的 skills 目录中。
  4. 重启 Cursor 让新的 skill 生效。

Cursor — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Cursor 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Cursor 让新的 skill 生效。

GitHub Copilot — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/github/awesome-copilot.git
  3. 将 "skills/napkin" 文件夹复制到 GitHub Copilot 的 skills 目录中。
  4. 重启 GitHub Copilot 让新的 skill 生效。

GitHub Copilot — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 GitHub Copilot 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 GitHub Copilot 让新的 skill 生效。

Windsurf — Git Clone 安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 克隆仓库:git clone https://github.com/github/awesome-copilot.git
  3. 将 "skills/napkin" 文件夹复制到 Windsurf 的 skills 目录中。
  4. 重启 Windsurf 让新的 skill 生效。

Windsurf — 手动复制安装

  1. 安装前请先查看来源仓库和风险报告。
  2. 从源仓库下载 SKILL.md 及相关文件。
  3. 在 Windsurf 的 skills 目录中创建新文件夹。
  4. 将所有 skill 文件复制到新文件夹中。
  5. 重启 Windsurf 让新的 skill 生效。
查看 SKILL.md 原文
name: napkin
description: 'Visual whiteboard collaboration for Copilot CLI. Creates an interactive whiteboard that opens in your browser — draw, sketch, add sticky notes, then share everything back with Copilot. Copilot sees your drawings and text, and responds with analysis, suggestions, and ideas.'

Napkin — Visual Whiteboard for Copilot CLI

Napkin gives users a browser-based whiteboard where they can draw, sketch, and add sticky notes to think through ideas visually. The agent reads back the whiteboard contents (via a PNG snapshot and optional JSON data) and responds conversationally with analysis, suggestions, and next steps.

The target audience is lawyers, PMs, and business stakeholders — not software developers. Keep everything approachable and jargon-free.


Activation

When the user invokes this skill — saying things like "let's napkin," "open a napkin," "start a whiteboard," or using the slash command — do the following:

  1. Copy the bundled HTML template from the skill assets to the user's Desktop.

    • The template lives at assets/napkin.html relative to this SKILL.md file.
    • Copy it to ~/Desktop/napkin.html.
    • If ~/Desktop/napkin.html already exists, ask the user whether they want to open the existing one or start fresh before overwriting.
  2. Open it in the default browser:

    • macOS: open ~/Desktop/napkin.html
    • Linux: xdg-open ~/Desktop/napkin.html
    • Windows: start ~/Desktop/napkin.html
  3. Tell the user what to do next. Say something warm and simple:

    Your napkin is open in your browser!
    
    Draw, sketch, or add sticky notes — whatever helps you think through your idea.
    
    When you're ready for my input, click the green "Share with Copilot" button on the whiteboard, then come back here and say "check the napkin."
    

Reading the Napkin

When the user says "check the napkin," "look at the napkin," "what do you think," "read my napkin," or anything similar, follow these steps:

Step 1 — Read the PNG snapshot (primary)

Look for a PNG file called napkin-snapshot.png. Check these locations in order (the browser saves it to the user's default download folder, which varies):

  1. ~/Downloads/napkin-snapshot.png
  2. ~/Desktop/napkin-snapshot.png

Use the view tool to read the PNG. This sends the image as base64-encoded data to the model, which can visually interpret it. The PNG is the primary way the agent understands what the user drew — it captures freehand sketches, arrows, spatial layout, annotations, circled or crossed-out items, and anything else on the canvas.

If the PNG is not found in either location, do NOT silently skip it. Instead, tell the user:

I don't see a snapshot from your napkin yet. Here's what to do:

1. Go to your whiteboard in the browser
2. Click the green "Share with Copilot" button
3. Come back here and say "check the napkin" again

The button saves a screenshot that I can look at.

Step 2 — Read the clipboard for structured JSON (supplementary)

Also try to grab structured JSON data from the system clipboard. The whiteboard copies this automatically alongside the PNG.

  • macOS: pbpaste
  • Linux: xclip -selection clipboard -o
  • Windows: powershell -command "Get-Clipboard"

The JSON contains the exact text content of sticky notes and text labels, their positions, and their colors. This supplements the PNG by giving you precise text that might be hard to read from a screenshot.

If the clipboard doesn't contain JSON data, that's fine — the PNG alone gives the model plenty to work with. Do not treat a missing clipboard as an error.

Step 3 — Interpret both sources together

Synthesize the visual snapshot and the structured text into a coherent understanding of what the user is thinking or planning:

  • From the PNG: Describe what you see — sketches, diagrams, flowcharts, groupings, arrows, spatial layout, annotations, circled items, crossed-out items, emphasis marks.
  • From the JSON: Read the exact text content of sticky notes and labels, noting their positions and colors.
  • Combine both into a single, conversational interpretation.

Step 4 — Respond conversationally

Do not dump raw data or a technical summary. Respond as a collaborator who looked at someone's whiteboard sketch. Examples:

  • "I can see you've sketched out a three-stage process — it looks like you're thinking about [X] flowing into [Y] and then [Z]. The sticky note in the corner says '[text]' — is that a concern you want me to address?"
  • "It looks like you've grouped these four ideas together on the left side and separated them from the two items on the right. Are you thinking of these as two different categories?"
  • "I see you drew arrows connecting [A] to [B] to [C] — is this the workflow you're envisioning?"

Step 5 — Ask what's next

Always end by offering a next step:

  • "Want me to build on this?"
  • "Should I turn this into a structured document?"
  • "Want me to add my suggestions to the napkin?"

Responding on the Napkin

When the user wants the agent to add content back to the whiteboard:

  • The agent cannot directly modify the HTML file's canvas state — that's managed by JavaScript running in the browser.
  • Instead, offer practical alternatives:
    • Provide the response right here in the CLI, and suggest the user add it to the napkin manually.
    • Offer to create a separate document (markdown, memo, checklist, etc.) based on what was interpreted from the napkin.
    • If it makes sense, create an updated copy of napkin.html with pre-loaded content.

Tone and Style

  • Use the same approachable, non-technical tone as the noob-mode skill.
  • Never use developer jargon without explaining it in plain English.
  • Treat the napkin as a creative, collaborative space — not a formal input mechanism.
  • Be encouraging about the user's sketches regardless of artistic quality.
  • Frame responses as "building on your thinking," not "analyzing your input."

Error Handling

PNG snapshot not found:

I don't see a snapshot from your napkin yet. Here's what to do:

1. Go to your whiteboard in the browser
2. Click the green "Share with Copilot" button
3. Come back here and say "check the napkin" again

The button saves a screenshot that I can look at.

Whiteboard file doesn't exist on Desktop:

It looks like we haven't started a napkin yet. Want me to open one for you?

Important Notes

  • The PNG interpretation is the primary channel. Multimodal models can read and interpret the base64 image data returned by the view tool.
  • The JSON clipboard data is supplementary — it provides precise text but does not capture freehand drawings.
  • Always check for the PNG first. If it isn't found, prompt the user to click "Share with Copilot."
  • If the clipboard doesn't have JSON data, proceed with the PNG alone.
  • The HTML template is located at assets/napkin.html relative to this SKILL.md file.
  • If the noob-mode skill is also active, use its risk indicator format (green/yellow/red) when requesting file or bash permissions.

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