mirror of
https://github.com/github/awesome-copilot.git
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chore: publish from main
This commit is contained in:
@@ -943,6 +943,12 @@
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"description": "Drive the GitHub Copilot App Modernization for Java workflow from an interactive canvas: environment readiness, repo assessment, prioritized plan and progress, validation gates, and one-click predefined-task runs grounded in the repo's real artifacts.",
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"version": "1.0.2"
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},
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{
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"name": "jupyter-notebooks",
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"source": "plugins/jupyter-notebooks",
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"description": "Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive Copilot canvas.",
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"version": "1.0.0"
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},
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{
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"name": "keep-the-why",
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"description": "Preserves or recovers the reasoning behind a codebase — architectural decisions, rejected alternatives, workarounds, incident learnings, operational constraints, and historical context the code itself cannot explain.",
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@@ -73,6 +73,7 @@ See [CONTRIBUTING.md](../CONTRIBUTING.md#adding-plugins) for guidelines on how t
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| [java-development](../plugins/java-development/README.md) | Comprehensive collection of prompts and instructions for Java development including Spring Boot, Quarkus, testing, documentation, and best practices. | 0 items | java, springboot, quarkus, jpa, junit, javadoc |
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| [java-mcp-development](../plugins/java-mcp-development/README.md) | Complete toolkit for building Model Context Protocol servers in Java using the official MCP Java SDK with reactive streams and Spring Boot integration. | 0 items | java, mcp, model-context-protocol, server-development, sdk, reactive-streams, spring-boot, reactor |
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| [java-modernization-studio](../plugins/java-modernization-studio/README.md) | Drive the GitHub Copilot App Modernization for Java workflow from an interactive canvas: environment readiness, repo assessment, prioritized plan and progress, validation gates, and one-click predefined-task runs grounded in the repo's real artifacts. | 1 items | app-modernization, assessment-dashboard, azure-migration, java-modernization, legacy-java, modernization-cockpit, validation-gates |
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| [jupyter-notebooks](../plugins/jupyter-notebooks/README.md) | Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive Copilot canvas. | 1 items | data-analysis, interactive-notebooks, jupyter, python |
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| [kotlin-mcp-development](../plugins/kotlin-mcp-development/README.md) | Complete toolkit for building Model Context Protocol (MCP) servers in Kotlin using the official io.modelcontextprotocol:kotlin-sdk library. Includes instructions for best practices, a prompt for generating servers, and an expert chat mode for guidance. | 0 items | kotlin, mcp, model-context-protocol, kotlin-multiplatform, server-development, ktor |
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| [mcp-m365-copilot](../plugins/mcp-m365-copilot/README.md) | Comprehensive collection for building declarative agents with Model Context Protocol integration for Microsoft 365 Copilot | 0 items | mcp, m365-copilot, declarative-agents, api-plugins, model-context-protocol, adaptive-cards |
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| [napkin](../plugins/napkin/README.md) | Visual whiteboard collaboration for Copilot CLI. Opens an interactive whiteboard in your browser where you can draw, sketch, and add sticky notes — then share everything back with Copilot. Copilot sees your drawings and responds with analysis, suggestions, and ideas. | 0 items | whiteboard, visual, collaboration, brainstorming, non-technical, drawing, sticky-notes, accessibility, copilot-cli, ux |
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# Jupyter Notebooks
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Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive GitHub Copilot canvas.
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## What it does
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- Opens existing `.ipynb` files from the current workspace.
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- Creates code, Markdown, and raw cells with reorder, duplicate, undo, and redo controls.
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- Runs Python cells through a fresh isolated process with bounded resources and captured rich output.
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- Saves, renames, and duplicates notebooks as standard `.ipynb` files.
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- Creates persistent checkpoints that can be restored from the canvas.
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## Requirements
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- Python 3 available as `python3` or `python`.
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- The `@github/copilot-sdk` package installed with the extension.
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## Install
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Ask Copilot to install the committed extension:
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```text
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Install this extension: https://github.com/github/awesome-copilot/tree/main/extensions/jupyter-notebooks
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```
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Reload extensions, then ask Copilot to open the `jupyter-notebooks` canvas.
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## Agent actions
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The canvas provides actions for notebook lifecycle, workspace files, cell editing, execution, runtime selection, and checkpoints. Use `get_notebook` to inspect the current state before editing a cell.
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## Security and local data
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Notebook execution uses Python isolated mode in a fresh temporary directory. The runner applies CPU, file-size, process, and memory limits where the platform supports them, caps captured output, and stops execution after 30 seconds.
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The local canvas server binds to `127.0.0.1`, protects requests with a per-instance capability token, validates action origins, and sends a restrictive content security policy. Notebook state and checkpoints stay in the active Copilot workspace.
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{
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"name": "jupyter-notebooks",
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"version": 1
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}
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// Extension: jupyter-notebooks
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// The implementation is isolated so this required discovery entrypoint stays focused.
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import "./notebook-canvas.mjs";
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{
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"name": "jupyter-notebooks",
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"version": "1.0.0",
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"type": "module",
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"main": "extension.mjs",
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"description": "Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive Copilot canvas.",
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"keywords": [
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"data-analysis",
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"interactive-notebooks",
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"jupyter",
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"python"
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],
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"dependencies": {
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"@github/copilot-sdk": "latest"
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}
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}
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# Jupyter Notebooks Plugin
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Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive GitHub Copilot canvas.
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## Installation
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```bash
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copilot plugin install jupyter-notebooks@awesome-copilot
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```
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## Source
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This plugin is part of [Awesome Copilot](https://github.com/github/awesome-copilot).
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## License
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MIT
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@@ -0,0 +1,38 @@
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# Jupyter Notebooks
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Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive GitHub Copilot canvas.
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## What it does
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- Opens existing `.ipynb` files from the current workspace.
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- Creates code, Markdown, and raw cells with reorder, duplicate, undo, and redo controls.
|
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- Runs Python cells through a fresh isolated process with bounded resources and captured rich output.
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- Saves, renames, and duplicates notebooks as standard `.ipynb` files.
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- Creates persistent checkpoints that can be restored from the canvas.
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## Requirements
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- Python 3 available as `python3` or `python`.
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- The `@github/copilot-sdk` package installed with the extension.
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## Install
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Ask Copilot to install the committed extension:
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```text
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Install this extension: https://github.com/github/awesome-copilot/tree/main/extensions/jupyter-notebooks
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```
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Reload extensions, then ask Copilot to open the `jupyter-notebooks` canvas.
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## Agent actions
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The canvas provides actions for notebook lifecycle, workspace files, cell editing, execution, runtime selection, and checkpoints. Use `get_notebook` to inspect the current state before editing a cell.
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## Security and local data
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Notebook execution uses Python isolated mode in a fresh temporary directory. The runner applies CPU, file-size, process, and memory limits where the platform supports them, caps captured output, and stops execution after 30 seconds.
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The local canvas server binds to `127.0.0.1`, protects requests with a per-instance capability token, validates action origins, and sends a restrictive content security policy. Notebook state and checkpoints stay in the active Copilot workspace.
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+4
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{
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"name": "jupyter-notebooks",
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"version": 1
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}
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+4
@@ -0,0 +1,4 @@
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// Extension: jupyter-notebooks
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// The implementation is isolated so this required discovery entrypoint stays focused.
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import "./notebook-canvas.mjs";
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+3901
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+16
@@ -0,0 +1,16 @@
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{
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"name": "jupyter-notebooks",
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"version": "1.0.0",
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"type": "module",
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"main": "extension.mjs",
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"description": "Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive Copilot canvas.",
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"keywords": [
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"data-analysis",
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"interactive-notebooks",
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"jupyter",
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"python"
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],
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"dependencies": {
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"@github/copilot-sdk": "latest"
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}
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}
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@@ -0,0 +1,23 @@
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{
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"$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
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"name": "jupyter-notebooks",
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"description": "Create, edit, run, save, and checkpoint Jupyter notebooks in an interactive Copilot canvas.",
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"version": "1.0.0",
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"author": {
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"name": "Pierce Boggan",
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"url": "https://github.com/pierceboggan"
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},
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"repository": "https://github.com/github/awesome-copilot",
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"license": "MIT",
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"keywords": [
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"data-analysis",
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"interactive-notebooks",
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"jupyter",
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"python"
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],
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"extensions": {
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"com.github.copilot": {
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"logo": "assets/preview.png"
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}
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}
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}
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