LadyNaggaga

name

description

html-to-png

Use this skill whenever you want to convert an HTML, JavaScript, or CSS diagram, visualization, or UI component into a transparent PNG image. Triggers include any mention of 'export to PNG', 'transparent PNG', 'save as image', 'screenshot of HTML', 'render to PNG', or requests to turn web-based visuals (diagrams, charts, infographics, architecture drawings, flowcharts, etc.) into downloadable image files. Also use when you have an existing HTML file and want a static image version. Do NOT use for PDF generation, video/GIF recording, or non-image export formats.

HTML to Transparent PNG

Overview

This skill converts HTML/CSS/JS content into high-resolution transparent PNG images using Puppeteer and headless Chrome. It handles font loading, CSS animations (waiting for them to settle), retina-quality rendering, and transparent backgrounds.

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Claude Skill: Pitch Deck Generator

Use this skill to generate a full interactive pitch deck from a markdown file or document. The user provides their presentation content in markdown, and this skill generates a complete Next.js application with slide components, navigation, speaker notes, search, exports (PDF + PPTX), light/dark theme toggle, an executive one-pager, and an executive email.

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How to Use

Prerequisites

• Node.js 18+

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AG-UI Multi-Agent Subgraph Implementation Guide

Overview

This guide shows how to adapt the AccedeSimple travel expense application to use AG-UI's multi-agent subgraph pattern, inspired by the LangGraph subgraphs demo.

Requirements: .NET 10 SDK, Python 3.12+, Node.js

Current Architecture vs. Target Pattern

Current: Linear Workflow

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Agentic AI Learning Materials

Welcome to the Agentic AI Learning Materials gist! This gist is dedicated to providing resources and learning materials on Agentic AI, Agentic systems, and workflows. Whether you're a beginner or an advanced learner, you'll find valuable content to enhance your understanding and skills in this exciting field.

Table of Contents

• Introduction
• Learning Resources
  • Agentic AI
• Agentic Systems and Workflows

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Artificial Intelligent Resources.

The gist below is a list of useful resources for .NET developers getting started with the new wave of AI applications.

Sample	Summary
A .NET introduction to RAG (Retrieval Augmented Generation)	This blog explains how to use AI to create text, images, audio, or anything else, and how to build a simple chat app with .NET and Azure OpenAI.
A .NET introduction to Chat GPT Plugins	This is a quickstart for sample for creating ChatGPT Plugin using GitHub Codespaces, Visual Studio or VS Code, and Azure. The sample includes templates to deploy the plugin to Azure Container Apps using the Azure Developer CLI.
Generative AI Native Sample: ChatGPT + Enterprise data with Azure OpenAI and Cognitive Search	This

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Please note these are all a work in progress and we appreciate your patience.

Samples

Please note that our samples are playgrounds for the minimal API team to play around with the latest bits. So, please forgive us if sometimes things moved around.

• The playground: Follow this repo to keep up with thelatest bits
• An attempt at a tutorial: A work in progress that works you through how to use minimal APIs. Focusing on end to end minimal apps.
• Core scenarios: Linking coming soon. In these samples we will go over things like Open APIs, Authorization, validation, deployment etc

Quick start docs

• Docs - Work in progress.

Blog posts

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Blogs

SQL and .NET Interactive

VS Code + .NET Multi-language Notebooks

PowerShell + .NET Notebooks

Announcing .NET Notebooks

VSCode Extension

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Visual Studio Samples
-- Live Unit Testing Icons
> Continually runs and checks for working code
> Automatically finds and runs tests as you are updating your code
> Red Xs have failing tests associated with them
> Green checks are all tests passing
> Minus signs have no test coverage
 
Click the X to see the tests covering the code
Dbl click to see the test

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//Install apache typr the caommand below in your ssh tool
sudo apt-get update

//Possible error: Could not reliably determine the server's fully qualified domain name. Fix below
sudo nano /etc/apache2/apache.conf

//Enter the text below-
serverName localhost

//Install MySQL