Napkin
GitHubOfficialFirst committed by dveltonDistributed by GitHub
- Skill
- Workflow
- Business and productivity
- MIT
- No issues found
AutoGineer summary
Written by AutoGineer from the skill’s own files, not by the author
Napkin provides a browser-based whiteboard environment where users can sketch, draw, and add sticky notes to visualize ideas. By capturing a snapshot of the canvas and associated metadata, the agent can interpret the visual layout, diagrams, and text to provide collaborative feedback, analysis, and suggestions. Designed for non-technical users like lawyers and project managers, it facilitates a creative, conversational brainstorming process.
What it does
- Launches a local whiteboard interface in the user's default web browser.
- Captures visual snapshots of sketches, flowcharts, and spatial arrangements.
- Extracts structured text from sticky notes and labels via system clipboard.
- Synthesizes visual and textual data to provide conversational feedback.
- Offers to transform whiteboard concepts into structured documents or further iterations.
When to use it
- When you need to brainstorm complex ideas visually rather than through text alone.
- When you want to map out workflows, processes, or relationships between concepts.
- When you need an AI collaborator to review your sketches and provide actionable feedback.
- When you are working on project planning or strategy and need a flexible, informal space to think.
Advantages
- Provides a low-friction, visual medium for organizing thoughts.
- Combines freehand sketching with structured data for comprehensive analysis.
- Maintains an approachable, jargon-free tone suitable for business stakeholders.
- Encourages iterative thinking by allowing the agent to build upon your visual input.
Usage examples
- “Let's napkin.”
- The agent copies the whiteboard template to your desktop and opens it in your browser, ready for you to start sketching.
- “Check the napkin.”
- The agent locates your whiteboard snapshot and clipboard data, then provides a conversational summary of your ideas and suggests next steps.
Install
Download the skill as a ZIP:
https://autogineer.com/agent-skills/github/napkin/downloadUnzip it into the cross-client skills folder of your project:
mkdir -p .agents/skills && unzip napkin.zip -d .agents/skills
Documentation by dvelton
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:
Copy the bundled HTML template from the skill assets to the user's Desktop.
The template lives at
assets/napkin.htmlrelative to this SKILL.md file.Copy it to
~/Desktop/napkin.html.If
~/Desktop/napkin.htmlalready exists, ask the user whether they want to open the existing one or start fresh before overwriting.
Open it in the default browser:
macOS:
open ~/Desktop/napkin.htmlLinux:
xdg-open ~/Desktop/napkin.htmlWindows:
start ~/Desktop/napkin.html
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):
~/Downloads/napkin-snapshot.png~/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:
pbpasteLinux:
xclip -selection clipboard -oWindows:
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.htmlwith 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
viewtool.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.htmlrelative to this SKILL.md file.The walkthrough images
assets/step1-activate.svg,assets/step2-whiteboard.svg,assets/step3-draw.svg,assets/step4-share.svg, andassets/step5-response.svgare documentation illustrations, not runtime inputs.If the noob-mode skill is also active, use its risk indicator format (green/yellow/red) when requesting file or bash permissions.
Files
- ATTRIBUTION.mdAdded by AutoGineer843 B
- LICENSELicence file added by AutoGineer1.0 KiB
- SKILL.md7.2 KiB
- assets/napkin.html60.9 KiB
- assets/step1-activate.svg5.9 KiB
- assets/step2-whiteboard.svg8.0 KiB
- assets/step3-draw.svg8.5 KiB
- assets/step4-share.svg6.6 KiB
- assets/step5-response.svg7.1 KiB
Requirements and compatibility
Written for: GitHub Copilot
Works with: Claude Code, Claude apps, OpenAI Codex, GitHub Copilot, Cursor, Gemini CLI, Kiro, OpenCode, Goose, Amp, Roo Code, JetBrains Junie, Factory Droid, Devin (ex-Windsurf), Mistral Vibe, OpenHands, Letta
“Works with” means the tool reads the open Agent Skills format; a skill written for one tool may use features others lack.
Security
No issues found by our static scan· No issues found
A static scan is not a guarantee. Skills are third-party content: review a skill before you let an agent use it.
Attribution and licence
- First committed by
dvelton
- Publisher
- GitHub (Official)
- Distributed by
- GitHub
- Source
- github/awesome-copilot · skills/napkin · commit 797337f
- Licence
- MIT License (redistribution allowed)
- LICENSE (added by AutoGineer from LICENSE)
- ATTRIBUTION.md (written by AutoGineer)
- Synced
- Contributors
- dvelton, stbenjam
AutoGineer is not affiliated with or endorsed by dvelton or GitHub.
Download ZIP
The ZIP holds the skill’s files, its licence files and an ATTRIBUTION.md. Download napkin.zip